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[App Maker Academy | LEARN]https://learn.by/courses/course-v1:EPAM+AMA+ext1/about
[Applied Machine Learning in Python --- главная | Coursera]https://www.coursera.org/learn/python-machine-learning/home/welcome
[Applied Machine Learning in Python | Coursera]https://www.coursera.org/learn/python-machine-learning?specialization=data-science-python
[Applied Plotting, Charting & Data Representation in Python | Coursera]https://www.coursera.org/learn/python-plotting
[Applied Plotting, Charting & Data Representation in Python | Coursera]https://www.coursera.org/learn/python-plotting?specialization=data-science-python
[Applied Social Network Analysis in Python | Coursera]https://www.coursera.org/learn/python-social-network-analysis
[Applied Text Mining in Python | Coursera]https://www.coursera.org/learn/python-text-mining
[Applied Text Mining in Python | Coursera]https://www.coursera.org/learn/python-text-mining?specialization=data-science-python
[Artificial Intelligence]https://www.udacity.com/course/artificial-intelligence--ud954
[Artificial Intelligence for Robotics | Udacity]https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373
[Basics of Software Architecture & Design Patterns in Java | Udemy]https://www.udemy.com/course/basics-of-software-architecture-design-in-java/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-KOKGxDo89w69mkjZQRXoiw
[Become a Python Developer]https://www.linkedin.com/learning/paths/become-a-python-developer
[Become a Solution Architect: Architecture Course | Udemy]https://www.udemy.com/course/how-to-become-an-outstanding-solution-architect/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-V.PfRaGSBVyIDs0jrROOXQ
[Big Data Analytics in Healthcare]https://www.udacity.com/course/big-data-analytics-in-healthcare--ud758
[Bootcamp - Scrimba Tutorial]https://scrimba.com/p/pG66Msa/c66k2RCr
[Bootstrap 4 Tutorial - Learn Bootstrap For Free | Scrimba]https://scrimba.com/g/gbootstrap4
[Break Away: Programming And Coding Interviews | Udemy]https://www.udemy.com/course/break-away-coding-interviews-1/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-xK68R9T0iKj38_3pS1WcYg
[Caesar - CS50x]https://cs50.harvard.edu/x/2020/psets/2/caesar/
[Chat with React - Scrimba Tutorial]https://scrimba.com/p/pbNpTv/c9bWPAp
[Clean Code | LEARN]https://learn.by/courses/course-v1:EPAM+CC+ext1/about
[Client-Server Communication]https://www.udacity.com/course/client-server-communication--ud897
[Code Basics: основы программирования]https://ru.code-basics.com/languages/javascript/modules/basics/lessons/comments
[Codecademy]https://www.codecademy.com/catalog/subject/all
[CodeSkulptor]http://www.codeskulptor.org/
[Coding for Kids | Tynker]https://www.tynker.com/lesson/host
[Coding Interview Bootcamp Algorithms, Data Structures Course | Udemy]https://www.udemy.com/course/coding-interview-bootcamp-algorithms-and-data-structure/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-TlXTfAkPvfYsaAfzlBDfzw
[Command Line Essentials: Git Bash for Windows | Udemy]https://www.udemy.com/course/git-bash/learn/lecture/2723932#overview
[Computability, Complexity & Algorithms]https://www.udacity.com/course/computability-complexity-algorithms--ud061
[Computability, Complexity & Algorithms - Udacity]https://classroom.udacity.com/courses/ud061
[Computer programming | Computing | Khan Academy]https://www.khanacademy.org/computing/computer-programming
[Computer science | Computing | Khan Academy]https://www.khanacademy.org/computing/computer-science
[Continuous Integration and Continuous Delivery using Interactive Browser-Based Labs | Katacoda]https://www.katacoda.com/courses/cicd
[Continuous Integration with Jenkins | LEARN]https://learn.by/courses/course-v1:EPAM+CIJ+ext1/about
[Convolutional Neural Networks | Coursera]https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning
[Course | 15.071x | edX]https://courses.edx.org/courses/course-v1:MITx+15.071x+1T2020/course/
[Course | CS1301xII | edX]https://courses.edx.org/courses/course-v1:GTx+CS1301xII+3T2019/course/
[Course Introduction: Neural Networks in JavaScript - Scrimba Tutorial]https://scrimba.com/p/pVZJQfg/cv4rvCR
[Course overview]https://www.robomindacademy.com/navigator/courses
[Course Overview - Scrimba Tutorial]https://scrimba.com/p/pQxesM/ce4baHb
[Courses | edX]https://www.edx.org/course/introduction-python-data-science-2
[Courses | LEARN]https://learn.by/courses
[Crash Course on Python --- главная | Coursera]https://www.coursera.org/learn/python-crash-course/home/info
[CS 436: Distributed Computer Systems - Lecture 1 - YouTube]https://www.youtube.com/watch?v=w8KFPWkK0bI&list=PLawkBQ15NDEkDJ5IyLIJUTZ1rRM9YQq6N
[CSS - Scrimba Tutorial]https://scrimba.com/p/pWvwCg/c3vBJu2
[Dashboard | Khan Academy]https://www.khanacademy.org/profile/kaid_319771232046788166624019/courses
[Data Analysis and Visualization]https://www.udacity.com/course/data-analysis-and-visualization--ud404
[Data Analysis Learning Path | Springboard]https://www.springboard.com/learning-paths/data-analysis/learn/?referral=https://www.springboard.com/resources/learning-paths/data-analysis/#351-introduction-to-algorithms
[Data Science A-Z™: Real-Life Data Science Exercises Included | Udemy]https://www.udemy.com/course/datascience/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-ehAZ1CgIaMuZej9hJQmD5A
[Data Science Dream Job - YouTube]https://www.youtube.com/channel/UCr6_XCxMLXWGguWZi_93n7w
[Data Science Interview Prep]https://www.udacity.com/course/data-science-interview-prep--ud944
[Data Science Office Hours - YouTube]https://www.youtube.com/channel/UC5c7r0SlnNmPfqxEyni71FA
[Data Science with R | Pluralsight]https://www.pluralsight.com/courses/r-data-science?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2W90Cx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2
[Data Scientist Path: Interactive Python, SQL | Dataquest]https://app.dataquest.io/path/data-scientist
[Data Structure - Part I | Udemy]https://www.udemy.com/course/data-structures-part-1-lognacademy/learn/lecture/2587894#overview
[Data Structures and Performance | Coursera]https://www.coursera.org/learn/data-structures-optimizing-performance?recoOrder=9&utm_medium=email&utm_source=recommendations&utm_campaign=recommendationsEmail~recs_email~2020-03-30
[Data Structures Fundamentals]https://courses.edx.org/courses/course-v1:UCSanDiegoX+ALGS201x+1T2019/course/
[Data Visualization in Python --- DataCamp]https://www.datacamp.com/resources/webinars/data-visualization-in-python
[Data Wrangling with MongoDB]https://www.udacity.com/course/data-wrangling-with-mongodb--ud032
[Database Systems Concepts & Design]https://www.udacity.com/course/database-systems-concepts-design--ud150
[DataCamp]https://learn.datacamp.com/
[Datatypes & Typecasting - Scrimba Tutorial]https://scrimba.com/p/pNpZMAB/cgqp9rSz
[DBA1 : Компания Postgres Professional]https://postgrespro.ru/education/courses/DBA1
[DBA2 : Компания Postgres Professional]https://postgrespro.ru/education/courses/DBA2
[Deep learning на пальцах!]https://dlcourse.ai/
[Design of Computer Programs]https://www.udacity.com/course/design-of-computer-programs--cs212
[Design of Computer Programs - Udacity]https://classroom.udacity.com/courses/cs212
[Designing RESTful APIs]https://www.udacity.com/course/designing-restful-apis--ud388
[Developing AI Applications on Azure --- главная | Coursera]https://www.coursera.org/learn/developing-ai-applications-azure/home/welcome
[Differential Equations in Action]https://www.udacity.com/course/differential-equations-in-action--cs222
[Divide and Conquer, Sorting and Searching, and Randomized Algorithms | Coursera]https://www.coursera.org/learn/algorithms-divide-conquer
[DJANGO CHANNELS 2 Tutorial (V2) - Real Time - WebSockets - Async - YouTube]https://www.youtube.com/watch?v=RVH05S1qab8
[Docker Swarm Mode Playground | Katacoda]https://www.katacoda.com/courses/docker-orchestration/playground
[DZone: Programming & DevOps news, tutorials & tools]https://dzone.com/refcardz?filter=popular
[Easy to Advanced Data Structures | Udemy]https://www.udemy.com/course/introduction-to-data-structures/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-P91lzG_giImwniobx2X3Jg
[Easy to Advanced Data Structures | Udemy]https://www.udemy.com/course/introduction-to-data-structures/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-ZbkYrZOIS7t4Ikpe7FLW_A
[Exercise files]https://www.linkedin.com/learning/python-essential-training-2/exercise-files?pathUrn=urn%3Ali%3AlyndaLearningPath%3A56db2f4b3dd5596be4e4989f
[Exercises on the Python Track | Exercism]https://exercism.io/tracks/python/exercises
[Explore - LeetCode]https://leetcode.com/explore/
[Free Clean Architecture Course: Patterns, Practices, and Principles for Beginners | Pluralsight]https://www.pluralsight.com/courses/clean-architecture-patterns-practices-principles?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2TWVKx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2
[Free Software Architect Course: Developer to Architect | Pluralsight]https://www.pluralsight.com/courses/developer-to-architect?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2TWVrx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2
[Free SOLID Course: Principles of Object Oriented Design | Pluralsight]https://www.pluralsight.com/courses/principles-oo-design?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2W4xqx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2
[Front Matter --- Alembic 1.4.2 documentation]https://alembic.sqlalchemy.org/en/latest/front.html#installation
[Front-End Web UI Frameworks and Tools: Bootstrap 4 --- главная | Coursera]https://www.coursera.org/learn/bootstrap-4/home/welcome?utm_campaign=mgT_0F1wEem5a3PcVrpGrg&utm_medium=email&utm_source=learner
[Full Stack Foundations]https://www.udacity.com/course/full-stack-foundations--ud088
[Git Playground | Katacoda]https://www.katacoda.com/courses/git/playground
[Git Started with GitHub | Udemy]https://www.udemy.com/course/git-started-with-github/learn/lecture/2918876#overview
[Graph Search, Shortest Paths, and Data Structures --- главная | Coursera]https://www.coursera.org/learn/algorithms-graphs-data-structures/home/welcome
[Graph Search, Shortest Paths, and Data Structures | Coursera]https://www.coursera.org/learn/algorithms-graphs-data-structures
[Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming | Coursera]https://www.coursera.org/learn/algorithms-greedy
[Grok Learning]https://groklearning.com/launch/#language=javascript&language=python&language=sql&level=beginners&level=intermediate&level=advanced
[Grokking the System Design Interview - Learn Interactively]https://www.educative.io/courses/grokking-the-system-design-interview?affiliate_id=5073518643380224
[GT - Refresher - Advanced OS]https://www.udacity.com/course/gt-refresher-advanced-os--ud098
[Harvard CS109 Data Science Course, Resources Free and Online]https://www.kdnuggets.com/2013/11/harvard-cs109-data-science-course-resources-free-online.html
[High Performance Computer Architecture]https://www.udacity.com/course/high-performance-computer-architecture--ud007
[High Performance Computing]https://www.udacity.com/course/high-performance-computing--ud281
[HTTP & Web Servers]https://www.udacity.com/course/http-web-servers--ud303
[HTTP & Web Servers - Udacity]https://classroom.udacity.com/courses/ud303
[https://scratch.mit.edu/projects/374672500/editor]https://scratch.mit.edu/projects/374672500/editor
[Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Coursera]https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning
[Inferential Statistical Analysis with Python --- главная | Coursera]https://www.coursera.org/learn/inferential-statistical-analysis-python/home/welcome
[Input and output -- Intro to Interviewing -- Grasshopper]https://learn.grasshopper.app/project/intro-to-interviewing
[Intel® Edge AI Fundamentals with OpenVINO™]https://www.udacity.com/course/intel-edge-AI-fundamentals-with-openvino--ud132
[Intro to Algorithms - Udacity]https://classroom.udacity.com/courses/cs215
[Intro to Algorithms | Udacity]https://www.udacity.com/course/intro-to-algorithms--cs215
[Intro to Artificial Intelligence - Udacity]https://classroom.udacity.com/courses/cs271
[Intro to Backend - Udacity]https://classroom.udacity.com/courses/ud171
[Intro to Data Analysis | Udacity]https://www.udacity.com/course/intro-to-data-analysis--ud170
[Intro to Data Science]https://www.udacity.com/course/intro-to-data-science--ud359
[Intro to Data Science]https://www.udacity.com/course/intro-to-data-science--ud359
[Intro to Data Structures and Algorithms]https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513
[Intro to Deep Learning with PyTorch]https://www.udacity.com/course/deep-learning-pytorch--ud188
[Intro to Descriptive Statistics]https://www.udacity.com/course/intro-to-descriptive-statistics--ud827
[Intro to DevOps]https://www.udacity.com/course/intro-to-devops--ud611
[Intro To Dynamic Programming - Coding Interview Preparation | Udemy]https://www.udemy.com/course/dynamic-programming/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-5t_2vOX4idtKYG4iSwTiag
[Intro To Dynamic Programming - Coding Interview Preparation | Udemy]https://www.udemy.com/course/dynamic-programming/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-qJwyifi_MKZkj41MTaaH.Q
[Intro to Flask Series - YouTube]https://www.youtube.com/playlist?list=PLXmMXHVSvS-AjwTOtiW1DXFYTgUlrUmHV
[Intro to Hadoop and MapReduce]https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617
[Python Tutorial for Beginners]https://intellipaat.com/blog/tutorial/python-tutorial/
[Intro to Inferential Statistics]https://www.udacity.com/course/intro-to-inferential-statistics--ud201
[Intro to Progressive Web Apps]https://www.udacity.com/course/intro-to-progressive-web-apps--ud811
[Intro to Relational Databases]https://www.udacity.com/course/intro-to-relational-databases--ud197
[Intro to the Design of Everyday Things]https://www.udacity.com/course/intro-to-the-design-of-everyday-things--design101
[Intro to Theoretical Computer Science]https://www.udacity.com/course/intro-to-theoretical-computer-science--cs313
[Introduction - Scrimba Tutorial]https://scrimba.com/p/pPPeCy/c7veET3
[Introduction to Computational Thinking and Data Science | edX]https://www.edx.org/course/introduction-to-computational-thinking-and-data-4?source=aw&awc=6798_1531898458_2bba85670feb320e9c65b2b6f704ee06&utm_source=aw&utm_medium=affiliate_partner&utm_content=text-link&utm_term=301045_https%3A%2F%2Fwww.class-central.com%2F
[Introduction to Computer Vision]https://www.udacity.com/course/introduction-to-computer-vision--ud810
[Introduction to D3 - Scrimba Tutorial]https://scrimba.com/p/pb4WsX/c2bB4hN
[Introduction to Data Science in Python | Coursera]https://www.coursera.org/learn/python-data-analysis
[Introduction to Data Science in Python | Coursera]https://www.coursera.org/learn/python-data-analysis?specialization=data-science-python
[Introduction to Dynamical Systems and Chaos]https://www.complexityexplorer.org/courses/91-introduction-to-dynamical-systems-and-chaos
[Introduction to Graduate Algorithms]https://www.udacity.com/course/introduction-to-graduate-algorithms--ud401
[Introduction to GraphQL | GraphQL]https://graphql.org/learn/
[Introduction to JavaScript | Codecademy]https://www.codecademy.com/learn/introduction-to-javascript
[Introduction to Machine Learning - Online Course | DataCamp]https://learn.datacamp.com/courses/introduction-to-machine-learning-with-r
[Introduction to Machine Learning Course | Udacity]https://www.udacity.com/course/intro-to-machine-learning--ud120
[Introduction to Operating Systems]https://www.udacity.com/course/introduction-to-operating-systems--ud923
[Introduction to Operating Systems - Udacity]https://classroom.udacity.com/courses/ud923
[Introduction to Python Programming - Udacity]https://classroom.udacity.com/courses/ud1110
[Introduction to Python Programming | Udacity]https://www.udacity.com/course/introduction-to-python--ud1110
[Introduction To Python Programming | Udemy]https://www.udemy.com/course/pythonforbeginnersintro/learn/lecture/7717096#overview
[Introduction to Scripting in Python | Coursera]https://www.coursera.org/specializations/introduction-scripting-in-python
[IT Курсы программирования онлайн - обучение программированию, видео уроки | ITVDN]https://itvdn.com/ru
[JavaScript ES6 Intro - Scrimba Tutorial]https://scrimba.com/p/p7v3gCd/cvk2Jfd
[Kaggle Mercedes и кросс-валидация / Блог компании Open Data Science / Хабр]https://habr.com/ru/company/ods/blog/336168/
[Katacoda - Interactive Learning Platform for Software Engineers]https://www.katacoda.com/
[Katacoda - Interactive Learning Platform for Software Engineers]https://www.katacoda.com/
[Khan Academy | Free Online Courses, Lessons & Practice]https://www.khanacademy.org/#statistics
[Knowledge-Based AI: Cognitive Systems]https://www.udacity.com/course/knowledge-based-ai-cognitive-systems--ud409
[Learn | freeCodeCamp.org]https://www.freecodecamp.org/learn
[Learn CI/CD with Jenkins using Interactive Browser-Based Labs | Katacoda]https://www.katacoda.com/courses/jenkins
[Learn CSS Animations]https://scrimba.com/g/gcssanimations?utm_source=newsletter&utm_medium=email&utm_campaign=gcssanimations_mainlist_launch
[Learn Data Analysis using Pandas and Python (Module 2/3) | Udemy]https://www.udemy.com/course/learn-data-analysis-using-pandas-and-python/learn/lecture/11211074
[Learn Data Structures and Algorithms: Ace the Coding Interview | Udemy]https://www.udemy.com/course/learn-data-structure-algorithms-with-java-interview/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-UtExCtEfwxOwPM48vP0X6g
[Learn Data Visualization Tutorials | Kaggle]https://www.kaggle.com/learn/data-visualization
[Learn Git Version Control using Interactive Browser-Based Labs | Katacoda]https://www.katacoda.com/courses/git
[Learn How to Code | Codecademy]https://www.codecademy.com/learn/learn-how-to-code
[Learn Intermediate Machine Learning Tutorials | Kaggle]https://www.kaggle.com/learn/intermediate-machine-learning
[Learn Intro to Machine Learning Tutorials | Kaggle]https://www.kaggle.com/learn/intro-to-machine-learning
[Learn Kubernetes using Interactive Browser-Based Labs | Katacoda]https://www.katacoda.com/courses/kubernetes
[Learn Machine Learning using Interactive Browser-Based Labs | Katacoda]https://www.katacoda.com/courses/machine-learning
[Learn Pandas Tutorials | Kaggle]https://www.kaggle.com/learn/pandas
[Learn Python - Full Course for Beginners [Tutorial] - YouTube]https://www.youtube.com/watch?v=rfscVS0vtbw
[Learn Python 3.6 for Total Beginners | Udemy]https://www.udemy.com/course/python-3-for-total-beginners/learn/lecture/8389008#overview
[Learn Python for Data Science, Structures, Algorithms, Interviews | Udemy]https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-SmD2rWBa9X3v_xfqcTwS9g
[Learn Python for Data Structures, Algorithms & Interviews | Udemy]https://www.udemy.com/course/python-for-data-structures-algorithms-and-interviews/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Y4DoHDW7JqaAhp8UbYY1Vw
[Learn Python: Build a Virtual Assistant | Udemy]https://www.udemy.com/course/learn-python-build-a-virtual-assistant-in-python/learn/lecture/5078926
[Learn Serverless and Functions/FaaS Technologies using Interactive Browser-Based Labs | Katacoda]https://www.katacoda.com/courses/serverless
[Learn SQL | Codecademy]https://www.codecademy.com/learn/learn-sql
[Learn to Code with Interactive Tutorials | Scrimba]https://scrimba.com/
[Learn to Program: Crafting Quality Code --- главная | Coursera]https://www.coursera.org/learn/program-code/home/welcome
[Learn to Program: The Fundamentals --- главная | Coursera]https://www.coursera.org/learn/learn-to-program/home/info
[Lecture 1: Administrivia; Introduction; Analysis of Algorithms, Insertion Sort, Mergesort | Video Lectures | Introduction to Algorithms (SMA 5503) | Electrical Engineering and Computer Science | MIT OpenCourseWare]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/lecture-1-administrivia-introduction-analysis-of-algorithms-insertion-sort-mergesort/
[Linear Algebra Refresher Course]https://www.udacity.com/course/linear-algebra-refresher-course--ud953
[Livestreams | Codecademy]https://www.codecademy.com/learn/livestreams
[Machine Learning]https://www.udacity.com/course/machine-learning--ud262
[Machine Learning A-Z (Python & R in Data Science Course) | Udemy]https://www.udemy.com/course/machinelearning/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Sv8Zh6oY0Us.D_q0ZY03tA
[Machine Learning Course Outline | Course Outline | CSMM.102x Courseware | edX]https://courses.edx.org/courses/course-v1:ColumbiaX+CSMM.102x+1T2020/courseware/2945e520da3f4b86bae2a390887faa10/0e0bc99270ad4788ba4d306467d6ea0c/
[Machine Learning Foundations: A Case Study Approach | Coursera]https://www.coursera.org/learn/ml-foundations?siteID=SAyYsTvLiGQ-j1V0zZ5fHhcoOM0BkeGXuw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Machine Learning in Python (Data Science and Deep Learning) | Udemy]https://www.udemy.com/course/data-science-and-machine-learning-with-python-hands-on/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Tt64BSk_T3eae86HjaaI6Q
[Machine Learning Interview Preparation]https://www.udacity.com/course/machine-learning-interview-prep--ud1001
[Machine Learning with TensorFlow on Google Cloud Platform | Coursera]https://www.coursera.org/specializations/machine-learning-tensorflow-gcp
[Machine Learning: Unsupervised Learning]https://www.udacity.com/course/machine-learning-unsupervised-learning--ud741
[Master Object Oriented Programming Concepts | Udemy]https://www.udemy.com/course/master-object-oriented-programming-concepts/learn/lecture/14292436#overview
[Master Python for Data Science]https://www.linkedin.com/learning/paths/master-python-for-data-science
[Mathematics for Computer Science | Electrical Engineering and Computer Science | MIT OpenCourseWare]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/index.htm
[Mathematics for Computer Science | Electrical Engineering and Computer Science | MIT OpenCourseWare]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/
[Microsoft: Our new free Python programming language courses are for novice AI developers | ZDNet]https://www.zdnet.com/google-amp/article/microsoft-our-new-free-python-programming-language-courses-are-for-novice-ai-developers/
[MIT 6.042J Mathematics for Computer Science]https://www.youtube.com/watch?v=L3LMbpZIKhQ
[Neural Networks and Deep Learning --- главная | Coursera]https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome
[Node.js Playground | Katacoda]https://www.katacoda.com/courses/nodejs/playground
[Nonlinear Dynamics: Mathematical and Computational Approaches]https://www.complexityexplorer.org/courses/92-nonlinear-dynamics-mathematical-and-computational-approaches
[Open Data Science (ODS.ai)]https://ods.ai/
[Open Data Science (ODS.ai)]https://ods.ai/
[Open Machine Learning Course mlcourse.ai • mlcourse.ai]https://mlcourse.ai/
[ossu/computer-science: Path to a free self-taught education in Computer Science!]https://github.com/ossu/computer-science
[Practical Deep Learning for Coders, v3 | fast.ai course v3]https://course.fast.ai/
[Probabilistic Graphical Models 1: Representation | Coursera]https://www.coursera.org/learn/probabilistic-graphical-models
[Programming Languages]https://www.udacity.com/course/programming-languages--cs262
[PY4E - Python for Everybody]https://www.py4e.com/html3/11-regex
[Python - OOP | Udemy]https://www.udemy.com/course/python-oop/learn/lecture/11878738#overview
[Python - YouTube]https://www.youtube.com/playlist?list=PL-_cKNuVAYAXkJLFpu-dq3nphjftOOR6C
[Python | CoderNet]https://codernet.ru/videos/python/
[Python 3, BBC Microbit, and MicroPython Bootcamp | Udemy]https://www.udemy.com/course/python-3-bootcamp/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-yt_5odS.FhZtVvCiK.As3A
[Python 3.4 Programming Tutorials - YouTube]https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAcbMi1sH6oAMk4JHw91mC_
[Python Basics --- главная | Coursera]https://www.coursera.org/learn/python-basics/home/info
[Python for Big Data Analytics - Edureka]https://www.edureka.co/blog/videos/python-for-big-data-analytics/#utm_content=buffer09e67
[Python for Data Science | edX]https://www.edx.org/course/python-for-data-science-2?source=aw&awc=6798_1531898412_43bdbbbd83e68a090303b818a7c981ed
[Python for Data Science | edX]https://www.edx.org/course/python-for-data-science-2
[Python OOP : Four Pillars of OOP in Python 3 for Beginners | Udemy]https://www.udemy.com/course/python-oops-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-uMbd4yXuF6XDw3mBAVT4Mg
[Python OOP : Four Pillars of OOP in Python 3 for Beginners | Udemy]https://www.udemy.com/course/python-oops-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Nr4tBMduhid_6vaIlWdcqg
[Python Playground | Katacoda]https://www.katacoda.com/courses/python/playground
[Python Programming - Build a Reconnaissance Scanner | Udemy]https://www.udemy.com/course/python-programming-build-a-reconnaissance-scanner/learn/lecture/3964992#overview
[Python Programming - YouTube]https://www.youtube.com/watch?v=N4mEzFDjqtA
[Python Programming for Beginners - Learn in 100 Easy Steps | Udemy]https://www.udemy.com/course/python-tutorial-for-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-3rVEPCsYZocttcQCmzYBNg
[Python Programming: A Concise Introduction --- главная | Coursera]https://www.coursera.org/learn/python-programming-introduction/home/info
[Python Track | Exercism]https://exercism.io/my/tracks/python
[Python Tutorials - YouTube]https://www.youtube.com/playlist?list=PL-osiE80TeTt2d9bfVyTiXJA-UTHn6WwU
[Python Variables]https://www.w3schools.com/python/python_variables.asp
[Python: Object Oriented Programming | Udemy]https://www.udemy.com/course/python-object-oriented-programming/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-_XEuwOZ_8ATanV5IEXa0Cw
[python: Online Courses, Training and Tutorials on LinkedIn Learning]https://www.linkedin.com/learning/search?entityType=LEARNING_PATH&keywords=python
[Quickstart for Cloud SQL for PostgreSQL | Google Cloud]https://cloud.google.com/sql/docs/postgres/quickstart
[R Language Playground | Katacoda]https://www.katacoda.com/courses/rlang/playground
[React - Scrimba Tutorial]https://scrimba.com/p/p7P5Hd/cWKkvVuL
[React & Django TUTORIAL Integration // REACTify Django - YouTube]https://www.youtube.com/watch?v=AHhQRHE8IR8&t=37s
[React Tutorial: Learn React JS For Free | Scrimba]https://scrimba.com/g/glearnreact
[Reading: Welcome | Welcome | ALGS201x Courseware | edX]https://courses.edx.org/courses/course-v1:UCSanDiegoX+ALGS201x+1T2019/courseware/5d2fce07f792430dad418f828b327e98/ea2153a2fabc400e88b87b4668755dd2/
[Real-Time Analytics with Apache Storm]https://www.udacity.com/course/real-time-analytics-with-apache-storm--ud381
[Regular Expressions Intro - Scrimba Tutorial]https://scrimba.com/p/peyvVAN/c7mweAZ
[Responsive Images]https://www.udacity.com/course/responsive-images--ud882
[Rock Paper Scissors - Python Tutorial | Udemy]https://www.udemy.com/course/rock-paper-scissors-python/learn/lecture/4175270#overview
[RPA: Automation Anywhere: Example: Ticket Processing - YouTube]https://www.youtube.com/watch?v=YjWRhtL1D2E
[Scalable Microservices with Kubernetes]https://www.udacity.com/course/scalable-microservices-with-kubernetes--ud615
[Scipy Lecture Notes --- Scipy lecture notes]https://scipy-lectures.org/
[Self-Driving Fundamentals: Featuring Apollo]https://www.udacity.com/course/self-driving-car-fundamentals-featuring-apollo--ud0419
[Sequence Models | Coursera]https://www.coursera.org/learn/nlp-sequence-models
[Shortest Paths Revisited, NP-Complete Problems and What To Do About Them | Coursera]https://www.coursera.org/learn/algorithms-npcomplete
[Software Architecture & Design]https://www.udacity.com/course/software-architecture-design--ud821
[Software Development Methodologies | LEARN]https://learn.by/courses/course-v1:EPAM+SDM+ext1/about
[Software Development Processes and Methodologies | Coursera]https://www.coursera.org/learn/software-processes
[Software Testing Introduction (RUS) | LEARN]https://learn.by/courses/course-v1:EPAM+STI+ext/about
[Spark]https://www.udacity.com/course/learn-spark-at-udacity--ud2002
[SQL for Data Analysis | Udacity]https://www.udacity.com/course/sql-for-data-analysis--ud198
[Stanford Engineering Everywhere | CS229 - Machine Learning]https://see.stanford.edu/Course/CS229
[Story by Data - YouTube]https://www.youtube.com/channel/UCU9GTVEPqlSNRDHypVf3BRw
[Structuring Machine Learning Projects | Coursera]https://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning
[TensorFlow Getting Started using Interactive Browser-Based Labs | Katacoda]https://www.katacoda.com/basiafusinska/courses/tensorflow-getting-started
[Textbook | Calculus Online Textbook | MIT OpenCourseWare]https://ocw.mit.edu/resources/res-18-001-calculus-online-textbook-spring-2005/textbook/
[The Bits and Bytes of Computer Networking | Coursera]https://www.coursera.org/learn/computer-networking
[The Ultimate GIT 5-day Challenge | Udemy]https://www.udemy.com/course/the-ultimate-git-5-day-challenge/learn/lecture/7668630#overview
[Tick Tock, Tick Tock -- Етап 9 -- Stepik]https://stepik.org/lesson/26053/step/9?unit=8085
[Top Coding Interview Questions (Essential to Getting Hired) | Udemy]https://www.udemy.com/course/11-essential-coding-interview-questions/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-SXOVEmlGNn4OcRAoNiSv9w
[Try Django 1.11 // Python Web Development | Udemy]https://www.udemy.com/course/try-django-v1-11-python-web-development/learn/lecture/7604588?LSNPUBID=JVFxdTr9V80&components=purchase%2Ccacheable_buy_button%2Cbuy_button%2Crecommendation&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Qsj0.d13.VSGccsgRd1Jnw&persist_locale=&locale=ru_RU#overview
[Try DJANGO Tutorial Series - YouTube]https://www.youtube.com/playlist?list=PLEsfXFp6DpzTD1BD1aWNxS2Ep06vIkaeW
[Try DJANGO TUTORIAL Series (v2.2) // PYTHON Web Development with Django version 2.2 - YouTube]https://www.youtube.com/watch?v=-oQvMHpKkms&t=50s
[TypeScript: Introduction - Scrimba Tutorial]https://scrimba.com/p/pKwrCg/cEQBWH3
[Ubuntu Playground | Katacoda]https://www.katacoda.com/courses/ubuntu/playground
[UI design - Scrimba Tutorial]https://scrimba.com/p/prpYaAy/cEKWgWSN
[Using Databases with Python | Coursera]https://www.coursera.org/learn/python-databases
[Version Control with Git]https://www.udacity.com/course/version-control-with-git--ud123
[Video | Version control with Git | VCG Courseware | LEARN]https://learn.by/courses/course-v1:EPAM+VCG+ext1/courseware/8a58c84fd1d2474b8f69a15171f524ae/59ea97521eb949c2a43dc360eb062fff/1
[Video Lectures | Introduction to Algorithms (SMA 5503) | Electrical Engineering and Computer Science | MIT OpenCourseWare]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/
[Video Lectures | Introduction to Computer Science and Programming | Electrical Engineering and Computer Science | MIT OpenCourseWare]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00-introduction-to-computer-science-and-programming-fall-2008/video-lectures/
[Video Lectures | Mathematics for Computer Science | Electrical Engineering and Computer Science | MIT OpenCourseWare]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/
[Visual Studio Code Playground | vscode | Katacoda]https://www.katacoda.com/courses/vscode/playground
[Web Application & Software Architecture 101 - Learn Interactively]https://www.educative.io/courses/web-application-software-architecture-101?affiliate_id=5073518643380224
[Web Design, Business, Technology Classes and Immersives | General Assembly]https://generalassemb.ly/education
[Web Tooling & Automation]https://www.udacity.com/course/web-tooling-automation--ud892
[WebDriver | LEARN]https://learn.by/courses/course-v1:EPAM+WD+ext1/about
[Web-Services Introduction | LEARN]https://learn.by/courses/course-v1:EpamSystems+EPAM_WB_intro+2019_T1/about
[Website Performance Optimization]https://www.udacity.com/course/website-performance-optimization--ud884
[Week 2 | Week 2 | CS50 Courseware | edX]https://courses.edx.org/courses/course-v1:HarvardX+CS50+X/courseware/b94adcd6bd6b4e69b2af7eef0d828674/7e8a56384ddf4142a59bb01b65629c52/?child=first
[Welcome 👋 to Vue.js! - Scrimba Tutorial]https://scrimba.com/p/pZ45Hz/cK8RnSd
[Алгоритмы | Coursera]https://www.coursera.org/specializations/algorithms
[Алгоритмы на Python 3. Лекция №1 - YouTube]https://www.youtube.com/watch?v=KdZ4HF1SrFs&list=PLRDzFCPr95fK7tr47883DFUbm4GeOjjc0
[Алгоритмы, часть I | Coursera]https://www.coursera.org/learn/algorithms-part1?siteID=SAyYsTvLiGQ-DWX_zVQKujUOEJDI8HTy7A&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Алгоритмы, часть I | Coursera]https://www.coursera.org/learn/algorithms-part1?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-cRruDpdyWoRlqNubOm14Tg&siteID=JVFxdTr9V80-cRruDpdyWoRlqNubOm14Tg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80
[Алгоритмы, часть II | Coursera]https://www.coursera.org/learn/algorithms-part2?siteID=SAyYsTvLiGQ-PYOgJJcBycUDIM0OB9WI8Q&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Алгоритмы, часть II | Coursera]https://www.coursera.org/learn/algorithms-part2?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-izoUUiGPVhA7d3.eGWiVSQ&siteID=JVFxdTr9V80-izoUUiGPVhA7d3.eGWiVSQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80
[Алексей Савватеев " Математический анализ. Анонс" - YouTube]https://www.youtube.com/watch?v=gqttVWXn7p8&list=PLlx2izuC9gjgEWu2364R6GnrY8SMUYi-E
[Аналіз даних та статистичне виведення на мові R | Prometheus]https://courses.prometheus.org.ua/courses/IRF/Stat101/2016_T3/about
[Бесплатное учебное руководство по теме "NumPy" --- Deep Learning Prerequisites: The Numpy Stack in Python | Udemy]https://www.udemy.com/course/deep-learning-prerequisites-the-numpy-stack-in-python/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-F4KrvYM0rt_cHRD.CbWkBQ
[Бесплатное учебное руководство по теме "Python" --- Learn Python 3.6 for Total Beginners | Udemy]https://www.udemy.com/course/python-3-for-total-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-oM2ZIYMnMagUaWggNNt8Tg
[Введение в математическое мышление | Coursera]https://www.coursera.org/learn/mathematical-thinking
[Введение в математическое мышление | Coursera]https://www.coursera.org/learn/mathematical-thinking?siteID=SAyYsTvLiGQ-l3O1WTQmZJJNOReT5kSisQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Введение в науку о данных | Coursera]https://www.coursera.org/specializations/introduction-data-science?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-iS2ZFBhzbNlqafIT7kggTA&siteID=JVFxdTr9V80-iS2ZFBhzbNlqafIT7kggTA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80
[Введение в программирование с MATLAB | Coursera]https://www.coursera.org/learn/matlab?siteID=SAyYsTvLiGQ-LSoMASywYXrg3X7fF_V0eg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Візуалізація даних | Prometheus]https://courses.prometheus.org.ua/courses/IRF/DV101/2016_T3/about
[Высшая математика для заочников и не только]http://mathprofi.ru/
[Глубокое обучение | Coursera]https://www.coursera.org/specializations/deep-learning?action=enroll&authMode=signup&utm_campaign=WebsiteCoursesDLSTopButton&utm_medium=institutions&utm_source=deeplearningai
[Глубокое обучение | Coursera]https://www.coursera.org/specializations/deep-learning
[Интерактивные курсы --- HTML Academy]https://htmlacademy.ru/courses
[Інформація про курс CS50 | Prometheus]https://courses.prometheus.org.ua/courses/course-v1:Prometheus+CS50+2019_T1/info
[Ключевые аспекты разработки на Python - Курсы по программированию]https://ru.hexlet.io/courses/python-development-course
[Корисні ресурси для програміста (оновив 11 травня 2020) | DOU]https://dou.ua/forums/topic/26544/
[Курсы по программированию]https://ru.hexlet.io/courses?pricing_type_eq=free
[Машинне навчання | Prometheus]https://courses.prometheus.org.ua/courses/IRF/ML101/2016_T3/about
[Машинное обучение | Coursera]https://www.coursera.org/learn/machine-learning
[Машинное обучение | Coursera]https://www.coursera.org/learn/machine-learning?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-oESoY8qkZMT.slfFc4HQpw&siteID=JVFxdTr9V80-oESoY8qkZMT.slfFc4HQpw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80
[Машинное обучение | Coursera]https://www.coursera.org/specializations/machine-learning?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-3jZBK_BJODd9KiGHawegMg&siteID=JVFxdTr9V80-3jZBK_BJODd9KiGHawegMg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80
[Машинное обучение для людей :: Разбираемся простыми словами :: Блог Вастрик.ру]https://vas3k.ru/blog/machine_learning/
[Начало]https://compscicenter.ru/courses/python/2015-autumn/classes/1364/
[Нейронные сети и глубокое обучение | Coursera]https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning
[Онлайн-курсы --- когда угодно, где угодно | Udemy]https://www.udemy.com/cart/subscribe/course/808422/
[Онлайн-курсы Computer Science Center]https://compscicenter.ru/online/
[Основи програмування CS50 2019 | Prometheus]https://courses.prometheus.org.ua/courses/course-v1:Prometheus+CS50+2019_T1/about
[Основы React.js]https://learn.javascript.ru/screencast/react
[Основы компьютерных вычислений | Coursera]https://www.coursera.org/specializations/computer-fundamentals
[Открытый курс машинного обучения. Тема 1. Первичный анализ данных с Pandas / Блог компании Open Data Science / Хабр]https://habr.com/ru/company/ods/blog/322626/
[Открытый курс машинного обучения. Тема 2: Визуализация данных c Python / Блог компании Open Data Science / Хабр]https://habr.com/ru/company/ods/blog/323210/
[Открытый курс машинного обучения. Тема 3. Классификация, деревья решений и метод ближайших соседей / Open Data Science corporate blog / Habr]https://habr.com/en/company/ods/blog/322534/#derevo-resheniy
[Открытый курс машинного обучения. Тема 3. Классификация, деревья решений и метод ближайших соседей / Блог компании Open Data Science / Хабр]https://habr.com/ru/company/ods/blog/322534/
[Панель курсів | Prometheus]https://courses.prometheus.org.ua/dashboard
[Практическое компьютерное обучение | Coursera]https://www.coursera.org/learn/practical-machine-learning?courseSlug=practical-machine-learning&showOnboardingModal=true&siteID=SAyYsTvLiGQ-AiRobBFiNhOX2__wxKDUBg&utm_campaign=SAyYsTvLiGQ&utm_content=10&utm_medium=partners&utm_source=linkshare
[Прикладная наука о данных с Python | Coursera]https://www.coursera.org/specializations/data-science-python
[Программирование мобильных приложений для портативных систем на базе Android: Часть 1 | Coursera]https://www.coursera.org/learn/android-programming?siteID=SAyYsTvLiGQ-6PCL2eb.Bt6eXiifkJCcxQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Программирование мобильных приложений для портативных систем на базе Android: Часть 2 | Coursera]https://www.coursera.org/learn/android-programming-2?siteID=SAyYsTvLiGQ-4lrOStZNI5FfHqS0bB2sVg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Программирование на Python | Coursera]https://www.coursera.org/specializations/programming-in-python
[Профессиональная сертификация 'Google IT Automation with Python' | Coursera]https://www.coursera.org/professional-certificates/google-it-automation?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-2G2cp1Grl76lCbmcds.8.A&siteID=JVFxdTr9V80-2G2cp1Grl76lCbmcds.8.A&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80
[Разведочный анализ данных | Coursera]https://www.coursera.org/learn/exploratory-data-analysis?siteID=SAyYsTvLiGQ-a6bPdq0USJFLoTVZMMv8Fw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Разработка и проектирование адаптивных веб-сайтов | Coursera]https://www.coursera.org/specializations/website-development?recoOrder=8&utm_medium=email&utm_source=recommendations&utm_campaign=recommendationsEmail~recs_email~2020-03-30
[Розробка та аналіз алгоритмів. Частина 1 | Prometheus]https://edx.prometheus.org.ua/courses/KPI/Algorithms101/2015_Spring/about
[Скринкаст по Angular]https://learn.javascript.ru/screencast/angular
[Скринкаст по Gulp]https://learn.javascript.ru/screencast/gulp
[Скринкаст по Node.JS]https://learn.javascript.ru/screencast/nodejs
[Скринкаст по Webpack]https://learn.javascript.ru/screencast/webpack
[Современный учебник JavaScript]https://learn.javascript.ru/
[Структуры данных в Python | Coursera]https://www.coursera.org/learn/python-data?siteID=SAyYsTvLiGQ-MOrZ7pDRePyazJCxqmOixQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Структуры и алгоритмы данных | Coursera]https://www.coursera.org/specializations/data-structures-algorithms
[Теория вероятностей для начинающих | Coursera]https://www.coursera.org/learn/probability-theory-basics
[Теория игр | Coursera]https://www.coursera.org/learn/game-theory-1
[Уроки по Python для начинающих и программистов ~ PythonRu]https://pythonru.com/uroki
[Учимся программировать: основы | Coursera]https://www.coursera.org/learn/learn-to-program?siteID=SAyYsTvLiGQ-CjJZj4Z4fjD5yiEYr0tQUA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
[Функции - Московский физико-технический институт, Mail.Ru Group & ФРОО | Coursera]https://www.coursera.org/learn/diving-in-python/lecture/JwQvv/funktsii
[Язык программирования JavaScript]https://learn.javascript.ru/js
[🤖 Интерактивные эксперименты с машинным обучением на TensorFlow | DOU]https://dou.ua/forums/topic/30478/?from=comment-digest_topic&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#video
[6.824 Lecture 1 - YouTube]https://www.youtube.com/watch?v=hBWfjkGKRas&list=PLkcQbKbegkMqiWf7nF8apfMRL4P4sw8UL
[62 лучших видео для тех, кто хочет углубить знания в JavaScript]https://proglib.io/p/js-must-watch-videos/
[AlSweigart - Twitch]https://www.twitch.tv/alsweigart
[Berkeley AI Materials]http://ai.berkeley.edu/lecture_videos.html
[Build a Data Analysis Library from Scratch in Python - YouTube]https://www.youtube.com/playlist?list=PLVyhfExBT1XDTu-oocI3ttl_OPhulAJOp
[Building a keylogger using Python + Pynput - YouTube]https://www.youtube.com/playlist?list=PLhTjy8cBISEoYoJd-zR8EV0NqDddAjK3m
[Compilers with Alex Aiken - YouTube]https://www.youtube.com/watch?v=sm0QQO-WZlM&list=PLFB9EC7B8FE963EB8
[Computer Science 162 (Fall 2010) - Lecture 1 - YouTube]https://www.youtube.com/watch?v=feAOZuID1HM&list=PLggtecHMfYHA7j2rF7nZFgnepu_uPuYws
[Computer Science 61A, 001 - Spring 2011 : Free Movies : Free Download, Borrow and Streaming : Internet Archive]https://archive.org/details/ucberkeley-webcast-PL3E89002AA9B9879E?sort=titleSorter
[CS144 Fall 2013, Video 4-0: Congestion Control - YouTube]https://www.youtube.com/watch?v=nh970YyKRDA&list=PLvFG2xYBrYAQCyz4Wx3NPoYJOFjvU7g2Z
[Essence of linear algebra - YouTube]https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
[Git - Lecture 0 - CS50's Web Programming with Python and JavaScript - YouTube]https://www.youtube.com/watch?v=1u2qu-EmIRc&list=PLhQjrBD2T382hIW-IsOVuXP1uMzEvmcE5
[Golovach Courses - YouTube]https://www.youtube.com/user/KharkovITCourses/playlists
[L01 Functional Programming | UC Berkeley CS 61A, Spring 2010 - YouTube]https://www.youtube.com/watch?v=4leZ1Ca4f0g&list=PLhMnuBfGeCDNgVzLPxF9o5UNKG1b-LFY9
[Steven Skiena - Algorithms]https://www.youtube.com/user/StevenSkiena
[Tech Debates Webinar | Ruby vs Python - Zoom]https://zoom.us/rec/play/68Ekcbz-_TI3T4ed5ASDV6MsW9W6fK6shyMa__AFzEfjBSQGNVHyMLAUYecSbIrhyfLfpKmy1NY0oH5n?continueMode=true
[UC Berkeley CS professor Brian Harvey]https://www.youtube.com/watch?v=2WDdFEMC7a4&list=PLPj7zH6RMqHs-hypGyogmEIgJSSWgFJ1w
[UCBerkeley Course Computer Science 186 : Free Download, Borrow, and Streaming : Internet Archive]https://archive.org/details/UCBerkeley_Course_Computer_Science_186
[Video Lectures | Structure and Interpretation of Computer Programs | Electrical Engineering and Computer Science | MIT OpenCourseWare]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video-lectures/
[Изучение программирования. SQL - YouTube]https://www.youtube.com/playlist?list=PLDywto_IU4_4RU0sKfID6OY-np6uGmhlf
[Лучшие Youtube-каналы для Frontend-разработчика]https://proglib.io/p/frontend-youtube-channels/
[Лучший видеокурс по сетевым технологиям]https://proglib.io/p/networks-course/
[Огромный видеокурс по основам JavaScript от freeCodeCamp]https://proglib.io/p/js-basics/
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#textbooks
[100 days of algorithms -- Medium]https://medium.com/100-days-of-algorithms
[30 Helpful Python Snippets That You Can Learn in 30 Seconds or Less]https://towardsdatascience.com/30-helpful-python-snippets-that-you-can-learn-in-30-seconds-or-less-69bb49204172
[97-things-every-programmer-should-know/ru/thing_01 at master · 97-things/97-things-every-programmer-should-know]https://github.com/97-things/97-things-every-programmer-should-know/tree/master/ru/thing_01
[All the basics of Python classes - Level Up Coding]https://levelup.gitconnected.com/all-the-basics-of-python-classes-8b07046d2a52
[BeginnersGuide/Programmers - Python Wiki]https://wiki.python.org/moin/BeginnersGuide/Programmers
[Calculating Streaks in Pandas]https://joshdevlin.com/blog/calculate-streaks-in-pandas/?utm_source=Iterable&utm_medium=email&utm_campaign=newsletter_82
[Cheat Sheet - Google Таблиці]https://docs.google.com/spreadsheets/d/1eNBLcKqCVN9zZQvfGUmm5bAzsETqB_ugVOlUtmvJGYU/edit#gid=0
[Cheat Sheet of Machine Learning and Python (and Math) Cheat Sheets]https://medium.com/machine-learning-in-practice/cheat-sheet-of-machine-learning-and-python-and-math-cheat-sheets-a4afe4e791b6
[Deep Learning]http://www.deeplearningbook.org/
[DevDocs API Documentation]https://devdocs.io/
[DZone Big Data]https://dzone.com/big-data-analytics-tutorials-tools-news
[Front-end Developer Handbook 2019 - Learn the entire JavaScript, CSS and HTML development practice!]https://frontendmasters.com/books/front-end-handbook/2019/
[Google's Python Class | Python Education | Google Developers]https://developers.google.com/edu/python
[Learn DS & Algorithms | Programiz]https://www.programiz.com/dsa
[List of Keywords in Python Programming]https://www.programiz.com/python-programming/keyword-list
[Manning | Catalog]https://www.manning.com/catalog
[Manning | Deep Learning with Python, Second Edition]https://www.manning.com/books/deep-learning-with-python-second-edition
[Manning | Get Programming]https://www.manning.com/books/get-programming
[Manning | liveBook]https://www.manning.com/livebook-program
[Manning | Making Sense of Edge Computing]https://www.manning.com/books/making-sense-of-edge-computing
[Manning | The Quick Python Book, Third Edition]https://www.manning.com/books/the-quick-python-book-third-edition#toc
[MLOps: Continuous delivery and automation pipelines in machine learning]https://cloud.google.com/solutions/machine-learning/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning
[NumPy Tutorial: Data Analysis with Python -- Dataquest]https://www.dataquest.io/blog/numpy-tutorial-python/
[Python - Все для студента]https://www.twirpx.com/files/applied/comp/python/
[Python | CoderNet]https://codernet.ru/books/python/
[Python 3 для начинающих и чайников - уроки программирования]https://pythonworld.ru/
[Python Pandas Tutorial - Tutorialspoint]https://www.tutorialspoint.com/python_pandas/
[Python Tricks 101🐍 - HackerNoon.com - Medium]https://medium.com/hackernoon/python-tricks-101-2836251922e0
[Python Tutorial | Learn Python For Data Science]https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/
[Python Tutorial for Beginners: Learn Python Programming in 7 Days]https://www.guru99.com/python-tutorials.html
[Python на Хабре / Хабр]https://habr.com/ru/post/205944/
[Python/Учебник Python 3.1 --- Викиучебник]https://ru.wikibooks.org/wiki/Python/%D0%A3%D1%87%D0%B5%D0%B1%D0%BD%D0%B8%D0%BA_Python_3.1
[Scipy Tutorial: Vectors and Arrays (Linear Algebra) - DataCamp]https://www.datacamp.com/community/tutorials/python-scipy-tutorial
[skromnitsky/awesome: 😎 Awesome lists about all kinds of interesting topics]https://github.com/skromnitsky/awesome
[Stencil Computations with Numba --- Dask Examples documentation]https://examples.dask.org/applications/stencils-with-numba.html
[The Ultimate Guide to Python: How to Go From Beginner to Pro]https://www.freecodecamp.org/news/the-ultimate-guide-to-python-from-beginner-to-intermediate-to-pro/amp/
[Tutorials - Online Data Analysis & Interpretation | DataCamp]https://www.datacamp.com/community/tutorials
[www.ПЕРВЫЕ ШАГИ.ru :: Шаг 38 - PL/SQL - вводный курс]http://www.firststeps.ru/sql/oracle/r.php?38
[Вычислительная Фотография :: Будущее фотографии --- это код :: Блог Вастрик.ру]https://vas3k.ru/blog/computational_photography/
[Добавляем параллельные вычисления в Pandas / Хабр]https://habr.com/ru/post/498904/
[Инструменты Python: лучшая шпаргалка для начинающих]https://proglib.io/p/py-tools/
[Нескучный туториал по NumPy / Хабр]https://habr.com/ru/post/469355/
[Оглавление --- Problem Solving with Algorithms and Data Structures]http://aliev.me/runestone/index.html
[Основы языка программирования Python за 10 минут / Хабр]https://habr.com/ru/post/31180/
[Программирование на языке PL/SQL под базы данных Oracle]https://oracle-patches.com/db/sql/3125-%D0%BE%D1%81%D0%BD%D0%BE%D0%B2%D1%8B-%D1%8F%D0%B7%D1%8B%D0%BA%D0%B0-pl-sql
[Руководство Oracle PL/SQL]https://o7planning.org/ru/10313/oracle-pl-sql-programming-tutorial
[Сохраните в закладках эту статью, если вы новичок в Python (особенно если изучаете Python сами) / Хабр]https://habr.com/ru/post/498074/
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#books
[10 лучших книг по программированию по мнению Reddit]https://proglib.io/p/best-programming-books/
[15 лучших книг по программированию на Python - Kompot Journal]https://read.kj.media/obuchenie/books-python/
[3 лучших книги по объектно-ориентированному программированию]https://proglib.io/p/oop-books/
[3 лучших книги по объектно-ориентированному программированию]https://proglib.io/p/oop-books/amp/
[5 отличных англоязычных книг по теоретическому Computer Science]https://proglib.io/p/5-computer-science-books/
[6 бесплатных книг по алгоритмам в программировании]https://proglib.io/p/algorythm-books/
[6.042J Complete course notes]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/readings/MIT6_042JF10_notes.pdf
[8 книг по компьютерным сетям]https://proglib.io/p/network-books/
[Architectural Styles and the Design of Network-based Software Architectures]https://www.ics.uci.edu/~fielding/pubs/dissertation/top.htm
[Build your first app | Android Developers]https://developer.android.com/training/basics/firstapp/index.html
[Building Blocks for Theoretical Computer Science]http://mfleck.cs.illinois.edu/building-blocks/index.html
[Computer Networking: a Top Down Approach]https://gaia.cs.umass.edu/kurose_ross/wireshark.htm
[Data-Oriented Design]https://www.dataorienteddesign.com/dodmain/dodmain.html
[Distributed Systems: Principles and Paradigms]http://barbie.uta.edu/~jli/Resources/MapReduce&Hadoop/Distributed%20Systems%20Principles%20and%20Paradigms.pdf
[Dive Into Python 3]https://diveintopython3.net/
[dmitryrubtsov/Python-for-Data-Science: Education]https://github.com/dmitryrubtsov/Python-for-Data-Science
[Domain Driven Design Quickly]https://www.infoq.com/minibooks/domain-driven-design-quickly/
[Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.]http://web.stanford.edu/~hastie/ElemStatLearn/
[Eloquent JavaScript]https://eloquentjavascript.net/
[holoviz/hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews]https://github.com/holoviz/hvplot
[How to Design Programs]https://htdp.org/
[How to not get caught while web scraping? - Data Driven Investor - Medium]https://medium.com/datadriveninvestor/how-to-not-get-caught-while-web-scraping-88097b383ab8
[HTML5 и CSS3. Веб-разработка по стандартам нового поколения - Хоган Брайан - Google Книги]https://books.google.ru/books/about/HTML5_%D0%B8_CSS3_%D0%92%D0%B5%D0%B1_%D1%80%D0%B0%D0%B7%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%BA.html?id=Sgcw0HrQ7KYC&redir_esc=y&hl=ru
[Introduction - Выразительный Javascript]https://eloquent-javascript.karmazzin.ru/
[Introduction to Computing: Explorations in Language, Logic, and Machines]http://computingbook.org/
[Introduction to Linear Algebra, 5th Edition]http://math.mit.edu/~gs/linearalgebra/
[Introduction to Programming in Java · Computer Science]https://introcs.cs.princeton.edu/java/home/
[JQuery]http://jquery.page2page.ru/index.php5/%D0%97%D0%B0%D0%B3%D0%BB%D0%B0%D0%B2%D0%BD%D0%B0%D1%8F_%D1%81%D1%82%D1%80%D0%B0%D0%BD%D0%B8%D1%86%D0%B0
[Learn Python - Free Interactive Python Tutorial]https://www.learnpython.org/
[Learn Python in Y Minutes]https://learnxinyminutes.com/docs/python/
[Learn Python the Hard Way]https://learnpythonthehardway.org/
[Python Documentation contents --- Python 3.8.2 documentation]https://docs.python.org/3/contents.html
[R Tutorial for Beginners: Learning R Programming]https://www.guru99.com/r-tutorial.html
[Springer has released 65 Machine Learning and Data books for free]https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189
[Teach Yourself Computer Science]https://teachyourselfcs.com/
[The Functional Art: An Introduction to Information Graphics and Visualization: The Functional Art]http://www.thefunctionalart.com/p/about-book.html
[The HoTT Book | Homotopy Type Theory]https://homotopytypetheory.org/book/
[The Python Standard Library --- Python 3.8.2 documentation]https://docs.python.org/3/library/
[TheoryOfComputation.dvi]http://cglab.ca/~michiel/TheoryOfComputation/TheoryOfComputation.pdf
[Think Python]http://greenteapress.com/thinkpython/html/index.html
[tr22.pdf]http://www.tac.mta.ca/tac/reprints/articles/22/tr22.pdf
[Tutorial - Learn Python in 10 minutes - Stavros' Stuff]https://www.stavros.io/tutorials/python/
[Tutorials --- pandas 1.0.3 documentation]https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html
[unmaintainable code : Java Glossary]https://www.mindprod.com/jgloss/unmain.html
[You-Dont-Know-JS/README.md at 2nd-ed · getify/You-Dont-Know-JS]https://github.com/getify/You-Dont-Know-JS/blob/2nd-ed/get-started/README.md
[You-Dont-Know-JS/README.md at 2nd-ed · getify/You-Dont-Know-JS]https://github.com/getify/You-Dont-Know-JS/blob/2nd-ed/scope-closures/README.md
[Большая книга веб-дизайна - Терри Фельке-Моррис - Google книги]https://books.google.ru/books?id=d2oaBAAAQBAJ&printsec=frontcover&hl=uk&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false
[Каталог книг | VK]https://m.vk.com/page-54530371_44620320
[Категория:Программирование --- Википедия]https://ru.wikipedia.org/wiki/%D0%9A%D0%B0%D1%82%D0%B5%D0%B3%D0%BE%D1%80%D0%B8%D1%8F:%D0%9F%D1%80%D0%BE%D0%B3%D1%80%D0%B0%D0%BC%D0%BC%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5
[Книга «Python для сложных задач: наука о данных и машинное обучение» / Блог компании Издательский дом «Питер» / Хабр]https://habr.com/ru/company/piter/blog/339766/
[Лучший самоучитель по Java для начинающих и продвинутых]https://javarush.ru/groups/posts/top-7-knig-po-java
[Математические основы анализа данных: подборка материалов по вузовской математике]https://proglib.io/p/math-materials-for-ds/
[Обложка --- A Byte Of Python --- русский перевод]http://wombat.org.ua/AByteOfPython/
[Оглавление --- Problem Solving with Algorithms and Data Structures]http://aliev.me/runestone/
[Перевод документации Python 3.x]https://pythoner.name/documentation
[Помнить все: делимся лучшей шпаргалкой по Python]https://proglib.io/p/python-cheatsheet
[Топ 10 самых популярных книг по программированию]https://proglib.io/p/top-10-programming-books/
[Учебник по NumPy - Визуализация примеров для быстрого изучения]https://python-scripts.com/numpy
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#games-for-education
[10 мобильных приложений, которые научат вас программировать]https://proglib.io/p/programming-apps/
[12 бесплатных ресурсов для обучения программированию в игровой форме]https://proglib.io/p/learn-programming-playfully/
[House Prices: Advanced Regression Techniques | Kaggle]https://www.kaggle.com/c/house-prices-advanced-regression-techniques
[Learn Git Branching]https://learngitbranching.js.org/
[Play CodeCombat Levels - Learn Python, JavaScript, and HTML | CodeCombat]https://codecombat.com/play/forest
[The Python Challenge]http://www.pythonchallenge.com/
[Titanic: Machine Learning from Disaster | Kaggle]https://www.kaggle.com/c/titanic/overview
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#online-education-others
[arXiv.org e-Print archive]https://arxiv.org/
[Code Basics: основы программирования на Javascript]https://ru.code-basics.com/languages/javascript
[CoderNet Портал для помощи программистам | CoderNet]https://codernet.ru/
[cs184/284a]https://cs184.eecs.berkeley.edu/sp20
[CS61C Spring 2015: Great Ideas in Computer Architecture (Machine Structures)]http://inst.eecs.berkeley.edu/~cs61c/sp15/
[Free JavaScript Course: Code School JavaScript Road Trip Part 1 | Pluralsight]https://www.pluralsight.com/courses/code-school-javascript-road-trip-part-1
[kanaka/mal: mal - Make a Lisp]https://github.com/kanaka/mal
[Learn Basic JavaScript: Declare JavaScript Variables | freeCodeCamp.org]https://www.freecodecamp.org/learn/javascript-algorithms-and-data-structures/basic-javascript/declare-javascript-variables
[Machine Learning is Fun! - Adam Geitgey - Medium]https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471
[Machine Learning Mastery]https://machinelearningmastery.com/
[new fast.ai course: A Code-First Introduction to Natural Language Processing · fast.ai]https://www.fast.ai/2019/07/08/fastai-nlp/
[OOP Concept Tutorial in Java - Object Oriented Programming | Java67]https://www.java67.com/2016/09/oops-concept-tutorial-in-java-object-oriented-programming.html
[Operating Systems: Three Easy Pieces]http://pages.cs.wisc.edu/~remzi/OSTEP/
[Programming -- Towards Data Science]https://towardsdatascience.com/programming/home
[PyVideo.org]https://pyvideo.org/
[Skiena's Audio Lectures]http://www3.cs.stonybrook.edu/~algorith/video-lectures/
[Solve Easy Unpack - Py.CheckiO]https://py.checkio.org/mission/easy-unpack/solve/
[Web | Google Developers]https://developers.google.com/web
[Why every Data Scientist should use Dask? - Towards Data Science]https://towardsdatascience.com/why-every-data-scientist-should-use-dask-81b2b850e15b
[Открытый курс машинного обучения. Тема 1. Первичный анализ данных с Pandas / Хабр]https://m.habr.com/ru/company/ods/blog/322626/
[Упражнения по SQL]http://www.sql-ex.ru/index.php
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#it-events
[Календар IT-подій в Києві | DOU]https://dou.ua/calendar/city/%D0%9A%D0%B8%D0%B5%D0%B2/
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#training
[Day 0: Hello, World. | HackerRank]https://www.hackerrank.com/challenges/30-hello-world/problem?h_r=email&unlock_token=1770c0299fa24248c80aca07b1ba45b7971a0c13&utm_campaign=30_days_of_code_continuous&utm_medium=email&utm_source=daily_reminder
[Problems - LeetCode]https://leetcode.com/problemset/all/?difficulty=Easy&status=Todo&listId=79h8rn6
[Skill Assessment]https://assessment.datacamp.com/python-programming
[Solve Python | HackerRank]https://www.hackerrank.com/domains/python?filters%5Bsubdomains%5D%5B%5D=py-introduction
[Solve Python | HackerRank]https://www.hackerrank.com/domains/python?filters%5Bsubdomains%5D%5B%5D=py-introduction&filters%5Bstatus%5D%5B%5D=unsolved
https://patch-diff.githubusercontent.com/rufatpro/Awesome-Python-Learning#project-examples-for-junior
[(1) Python]https://www.reddit.com/r/Python/
[10 Data Science Projects -- Dataquest]https://www.dataquest.io/blog/10-data-science-projects-join/
[10 Great Programming Projects to Improve Your Resume and Learn to Program]https://levelup.gitconnected.com/10-great-programming-projects-to-improve-your-resume-and-learn-to-program-74b14d3e9e16
[13 Project Ideas for Intermediate Python Developers -- Real Python]https://realpython.com/intermediate-python-project-ideas/
[25 Exciting Python Project Ideas & Topics for Beginners 2020 | upGrad blog]https://www.upgrad.com/blog/python-projects-ideas-topics-beginners/
[5 Cool Python Project Ideas For Inspiration | Hacker Noon]https://hackernoon.com/5-cool-python-project-ideas-for-inspiration-sr44367v
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[Building a Simple Chatbot from Scratch in Python (using NLTK)]https://medium.com/analytics-vidhya/building-a-simple-chatbot-in-python-using-nltk-7c8c8215ac6e
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[Coderbyte | Code Screening, Challenges, & Interview Prep]https://www.coderbyte.com/
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[Programming Praxis | A collection of etudes, updated weekly, for the education and enjoyment of the savvy programmer]https://programmingpraxis.com/
[The Daily WTF: Curious Perversions in Information Technology]http://thedailywtf.com/series/bring-your-own-code
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[A Beginner's Introduction to Python Web Frameworks : Python]https://www.reddit.com/r/Python/comments/cr3l7z/a_beginners_introduction_to_python_web_frameworks/
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[ageitgey/face_recognition: The world's simplest facial recognition api for Python and the command line]https://github.com/ageitgey/face_recognition
[Algorithms - Algorithmia]https://algorithmia.com/algorithms
[All Tools --- PyViz 0.0.1 documentation]https://pyviz.org/tools.html
[An Intro to Git and GitHub for Beginners (Tutorial)]https://product.hubspot.com/blog/git-and-github-tutorial-for-beginners
[Apache против Nginx: практические соображения]https://www.codeflow.site/ru/article/apache-vs-nginx-practical-considerations
[ARCore - Google Developers]https://developers.google.com/ar/
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[ArtVk & Bugtrack: Задачи по базам данных. Решение задач по SQL [1]]https://artvk.blogspot.com/2014/01/sql.html
[Awesome Python | LibHunt]https://python.libhunt.com/
[awesome-vscode | 🎨 A curated list of delightful VS Code packages and resources.]https://viatsko.github.io/awesome-vscode/#python
[Azure Machine Learning SDK for Python - Azure Machine Learning Python | Microsoft Docs]https://docs.microsoft.com/uk-ua/python/api/overview/azure/ml/?view=azure-ml-py
[Batch convert images to PDF with Python by using Pillow or img2pdf | Solarian Programmer]https://solarianprogrammer.com/2019/06/12/batch-convert-images-to-pdf-with-python-using-pillow-or-img2pdf/
[benfred/py-spy: Sampling profiler for Python programs]https://github.com/benfred/py-spy
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[Big data sets available for free - Data Science Central]https://www.datasciencecentral.com/profiles/blogs/big-data-sets-available-for-free
[Build and deploy your first machine learning web app]https://towardsdatascience.com/build-and-deploy-your-first-machine-learning-web-app-e020db344a99
[Build and run a Python app in a container]https://code.visualstudio.com/docs/containers/quickstart-python
[Building A Blog Application With Django | Django Central]https://djangocentral.com/building-a-blog-application-with-django/
[Building a Microservice in Python - Sonu Sharma - Medium]https://medium.com/@sonusharma.mnnit/building-a-microservice-in-python-ff009da83dac
[Caffe | Installation]http://caffe.berkeleyvision.org/installation.html
[CAL board - Agile board - Jira]https://kuprienko.atlassian.net/jira/software/projects/CAL/boards/3
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[Chapter 1. Getting to know Redis - Redis in Action]https://livebook.manning.com/book/redis-in-action/chapter-1/9
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[CLI Setup - NativeScript Docs]https://docs.nativescript.org/angular/start/quick-setup
[Cloud Shell]https://ssh.cloud.google.com/cloudshell/editor?project&pli=1&shellonly=true
[Codacy Onboarding]https://app.codacy.com/welcome/organizations
[Codecov]https://codecov.io/gh
[CodePen: Build, Test, and Discover Front-end Code.]https://codepen.io/
[colorama · PyPI]https://pypi.org/project/colorama/
[Conda Cheat Sheet - Kapeli]https://kapeli.com/cheat_sheets/Conda.docset/Contents/Resources/Documents/index
[Control Room | Home | Automation Anywhere]https://community.cloud.automationanywhere.digital/#/home
[Coveralls - Test Coverage History & Statistics]https://coveralls.io/repos/new
[CRAN - Package rattle]https://cran.r-project.org/web/packages/rattle/index.html
[create-graphql-server --- instantly scaffold a GraphQL server]https://blog.hichroma.com/create-graphql-server-instantly-scaffold-a-graphql-server-1ebad1e71840
[Dash Bootstrap Components]https://dash-bootstrap-components.opensource.faculty.ai/
[Dash for Beginners - DataCamp]https://www.datacamp.com/community/tutorials/learn-build-dash-python
[Dashboard : skromnitsky : PythonAnywhere]https://www.pythonanywhere.com/user/skromnitsky/
[Dashboard · WakaTime]https://wakatime.com/dashboard
[Dask + Numba for Efficient In-Memory Model Scoring - Capital One Tech - Medium]https://medium.com/capital-one-tech/dask-numba-for-efficient-in-memory-model-scoring-dfc9b68ba6ce
[Data Science with Python: Intro to Data Visualization with Matplotlib]https://towardsdatascience.com/data-science-with-python-intro-to-data-visualization-and-matplotlib-5f799b7c6d82
[Data: Querying, Analyzing and Downloading: The GDELT Project]https://www.gdeltproject.org/data.html#rawdatafiles
[Dataset Search]https://datasetsearch.research.google.com/
[Datasets for Data Mining and Data Science]https://www.kdnuggets.com/datasets/index.html
[Django ORM. Добавим сахарку / Хабр]https://habr.com/ru/post/263821/
[Django в примерах · GitBook (Legacy)]https://legacy.gitbook.com/book/pocoz/django-v-primerah/details
[Django на русском]https://djbook.ru/
[Django Руководство часть 11: Разворачивание сайта на сервере - Изучение веб-разработки | MDN]https://developer.mozilla.org/ru/docs/Learn/Server-side/Django/%D0%A0%D0%B0%D0%B7%D0%B2%D0%BE%D1%80%D0%B0%D1%87%D0%B8%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5
[Download · Bootstrap]https://getbootstrap.com/docs/4.4/getting-started/download/
[Download All Free Textbooks from Springer using Python]https://towardsdatascience.com/download-all-free-textbooks-from-springer-using-python-bd0b10e0ccc
[Download jQuery | jQuery]https://jquery.com/download/
[Download RequireJS]https://requirejs.org/docs/download.html
[ekzhu/datasketch: MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble]https://github.com/ekzhu/datasketch
[emmetio/emmet-atom: Emmet support for Atom]https://github.com/emmetio/emmet-atom#readme
[Erotemic/ubelt: A Python utility belt containing simple tools, a stdlib like feel, and extra batteries. Hashing, Caching, Timing, Progress, and more made easy!]https://github.com/Erotemic/ubelt?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more
[Exploring your data with just 1 line of Python - Towards Data Science]https://towardsdatascience.com/exploring-your-data-with-just-1-line-of-python-4b35ce21a82d
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[facebook/create-react-app: Set up a modern web app by running one command.]https://github.com/facebook/create-react-app
[facebookresearch/detectron2: Detectron2 is FAIR's next-generation platform for object detection and segmentation.]https://github.com/facebookresearch/detectron2
[facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions]https://github.com/facebookresearch/DrQA
[facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.]https://github.com/facebookresearch/faiss
[facebookresearch/fastMRI: A large-scale dataset of both raw MRI measurements and clinical MRI images]https://github.com/facebookresearch/fastMRI
[facebookresearch/habitat-api: A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.]https://github.com/facebookresearch/habitat-api
[facebookresearch/LAMA: LAnguage Model Analysis]https://github.com/facebookresearch/LAMA
[facebookresearch/nevergrad: A Python toolbox for performing gradient-free optimization]https://github.com/facebookresearch/nevergrad
[facebookresearch/pytext: A natural language modeling framework based on PyTorch]https://github.com/facebookresearch/pytext
[facebookresearch/pytorch_GAN_zoo: A mix of GAN implementations including progressive growing]https://github.com/facebookresearch/pytorch_GAN_zoo
[facebookresearch/VideoPose3D: Efficient 3D human pose estimation in video using 2D keypoint trajectories]https://github.com/facebookresearch/VideoPose3D
[facebookresearch/visdom: A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.]https://github.com/facebookresearch/visdom
[facebookresearch/vizseq: An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)]https://github.com/facebookresearch/vizseq
[Getting started --- Flexx 1.0 documentation]https://flexx.readthedocs.io/en/latest/start.html
[Getting started --- HiPlot 0.1.9.post2 documentation]https://facebookresearch.github.io/hiplot/getting_started.html
[Getting started --- pandas 1.0.3 documentation]https://pandas.pydata.org/pandas-docs/stable/getting_started/index.html
[Getting started --- SciPy.org]https://www.scipy.org/getting-started.html
[Getting started with Django | Django]https://www.djangoproject.com/start/
[Getting started with PyMC3 --- PyMC3 3.8 documentation]https://docs.pymc.io/notebooks/getting_started.html
[github/hub: A command-line tool that makes git easier to use with GitHub.]https://github.com/github/hub
[Graphene-Python]https://docs.graphene-python.org/en/latest/quickstart/
[great-expectations/great_expectations: Always know what to expect from your data.]https://github.com/great-expectations/great_expectations
[gto76/python-cheatsheet: Comprehensive Python Cheatsheet]https://github.com/gto76/python-cheatsheet
[GUI (графический интерфейс пользователя) | Python 3 для начинающих и чайников]https://pythonworld.ru/gui
[GuiProgramming - Python Wiki]https://wiki.python.org/moin/GuiProgramming
[Hello, App Center]https://appcenter.ms/apps
[How to deploy ML models using Flask + Gunicorn + Nginx + Docker]https://towardsdatascience.com/how-to-deploy-ml-models-using-flask-gunicorn-nginx-docker-9b32055b3d0
[How to Get a Job with Python - Towards Data Science]https://towardsdatascience.com/how-to-get-a-job-with-python-575f1b79fa11
[How to Install and Run Hadoop on Windows for Beginners - Data Science Central]https://www.datasciencecentral.com/profiles/blogs/how-to-install-and-run-hadoop-on-windows-for-beginners
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[Installation --- Kivy 1.11.1 documentation]https://kivy.org/doc/stable/gettingstarted/installation.html
[Installation --- pyglet v1.5.0]https://pyglet.readthedocs.io/en/latest/programming_guide/installation.html
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[interpretml/interpret: Fit interpretable machine learning models. Explain blackbox machine learning.]https://github.com/interpretml/interpret
[Introducing Bamboolib --- a GUI for Pandas - Towards Data Science]https://towardsdatascience.com/introducing-bamboolib-a-gui-for-pandas-4f6c091089e3
[Introducing GitFlow]https://datasift.github.io/gitflow/IntroducingGitFlow.html
[ipinfo.io/json]http://ipinfo.io/json
[ironmussa/Optimus at develop-3.0]https://github.com/ironmussa/Optimus/tree/develop-3.0
[japronto/1_hello.md at master · squeaky-pl/japronto]https://github.com/squeaky-pl/japronto/blob/master/tutorial/1_hello.md
[jaybaird/python-bloomfilter: Scalable Bloom Filter implemented in Python]https://github.com/jaybaird/python-bloomfilter
[jazzband/pip-tools: A set of tools to keep your pinned Python dependencies fresh.]https://github.com/jazzband/pip-tools
[Jetware - aise / tensorflow18_keras21_python36_cpu_notebook - 180509 appliance]http://jetware.io/appliances/aise/tensorflow18_keras21_python36_cpu_notebook
[jiffyclub/snakeviz: An in-browser Python profile viewer]https://github.com/jiffyclub/snakeviz
[JS Bin - Collaborative JavaScript Debugging]http://jsbin.com/?html,output
[Keras Cheat Sheet: Neural Networks in Python - DataCamp]https://www.datacamp.com/community/blog/keras-cheat-sheet
[keyboard-shortcuts-windows.pdf]https://code.visualstudio.com/shortcuts/keyboard-shortcuts-windows.pdf
[knockknock/README.md at master · huggingface/knockknock]https://github.com/huggingface/knockknock/blob/master/README.md/
[Laravel Nova - Beautifully-designed administration panel for Laravel]https://nova.laravel.com/
[localhost:54321/callback?code=b7e3a07c1695c5b58b6d]http://localhost:54321/callback?code=b7e3a07c1695c5b58b6d
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[main]https://repo.anaconda.com/pkgs/main/
[marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier]https://github.com/marcotcr/lime
[MIT App Inventor 2]http://ai2.appinventor.mit.edu/?locale=ru&repo=http%3A%2F%2Fappinventor.mit.edu%2Fyrtoolkit%2Fyr%2FaiaFiles%2FmoodCounter%2Fyr_mood_starter.asc#6567580202041344
[More Itertools --- more-itertools 8.2.0 documentation]https://more-itertools.readthedocs.io/en/stable/index.html
[mouradmourafiq/pandas-summary: An extension to pandas dataframes describe function.]https://github.com/mouradmourafiq/pandas-summary
[Native mobile apps with Angular, Vue.js, TypeScript, JavaScript - NativeScript]https://www.nativescript.org/
[nicolaskruchten/pivottable: Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.]https://github.com/nicolaskruchten/pivottable
[NLTK Data]http://www.nltk.org/nltk_data/
[NoSQL Databases List by Hosting Data - Updated 2020]https://hostingdata.co.uk/nosql-database/
[Numba: A High Performance Python Compiler]http://numba.pydata.org/
[Numpy and Scipy Documentation --- Numpy and Scipy documentation]https://docs.scipy.org/doc/
[NumPy в Python. Часть 1 / Хабр]https://habr.com/ru/post/352678/
[Optimus/README.md at master · ironmussa/Optimus]https://github.com/ironmussa/Optimus/blob/master/README.md
[Over 150 of the Best Machine Learning, NLP, and Python Tutorials I've Found]https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78
[Overview --- Matplotlib 3.2.1 documentation]https://matplotlib.org/contents.html
[Overview --- NumPy v1.19.dev0 Manual]https://numpy.org/devdocs/
[PageSpeed Insights]https://developers.google.com/speed/pagespeed/insights/?hl=uk&url=https%3A%2F%2Fkuprienko.info%2F&tab=desktop
[pallets/werkzeug: The comprehensive WSGI web application library.]https://github.com/pallets/werkzeug
[Pivot Demo From Local CSV]https://pivottable.js.org/examples/local.html
[PivotTable.js]https://pivottable.js.org/examples/index.html
[Plotting Google Sheets data in Python with Folium - Towards Data Science]https://towardsdatascience.com/plotting-crowdsourced-data-with-google-sheets-and-folium-6c9edbef2bb8
[Plugin Status · WakaTime]https://wakatime.com/plugins/status?onboarding=true
[Polymer Project]https://www.polymer-project.org/
[Popper - Tooltip & Popover Positioning Engine]https://popper.js.org/
[PostgreSQL : Документация : Компания Postgres Professional]https://postgrespro.ru/docs/postgresql
[Prisma - Database tools for modern application development]https://www.prisma.io/
[Projects - Home]https://dev.azure.com/kupriienko/
[pydqc/README.md at master · SauceCat/pydqc]https://github.com/SauceCat/pydqc/blob/master/README.md
[PyQt5 book with a foreword by the creator of PyQt]https://build-system.fman.io/pyqt5-book
[Pythia's Documentation --- Pythia 0.3 documentation]https://learnpythia.readthedocs.io/en/latest/
[Python 3.8 documentation --- DevDocs]https://devdocs.io/python~3.8/
[Python Extension Packages for Windows - Christoph Gohlke]https://www.lfd.uci.edu/~gohlke/pythonlibs/
[Python Frameworks Comparison: How to Choose the Best for Web Development]https://medium.com/better-programming/python-frameworks-comparison-how-to-choose-the-best-for-web-development-9603107ec905
[Python в три ручья: работаем с потоками (часть 1) | GeekBrains - образовательный портал]https://geekbrains.ru/posts/python_threading_part1
[pytorch3d/INSTALL.md at master · facebookresearch/pytorch3d]https://github.com/facebookresearch/pytorch3d/blob/master/INSTALL.md
[Qt Designer Download for Windows and Mac]https://build-system.fman.io/qt-designer-download
[Quick Start | GatsbyJS]https://www.gatsbyjs.org/docs/quick-start/
[Quick Start · gulp.js]https://gulpjs.com/docs/en/getting-started/quick-start
[Quickstart for Python/WSGI applications --- uWSGI 2.0 documentation]https://uwsgi-docs.readthedocs.io/en/latest/WSGIquickstart.html
[Quickstart tutorial --- NumPy v1.19.dev0 Manual]https://numpy.org/devdocs/user/quickstart.html
[R Packages - RStudio]https://rstudio.com/products/rpackages/
[RaRe-Technologies/bounter: Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.]https://github.com/RaRe-Technologies/bounter
[React -- JavaScript-бібліотека для створення користувацьких інтерфейсів]https://uk.reactjs.org/
[Roundup of Python NLP Libraries - NLP-FOR-HACKERS]https://nlpforhackers.io/libraries/
[samuelhwilliams/Eel: A little Python library for making simple Electron-like HTML/JS GUI apps]https://github.com/samuelhwilliams/Eel?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more
[SciPy --- SciPy v1.4.1 Reference Guide]https://docs.scipy.org/doc/scipy/reference/
[SciPy.org --- SciPy.org]https://www.scipy.org/
[Settings | Account · WakaTime]https://wakatime.com/settings/account
[shaypal5/cachier: Persistent, stale-free, local and cross-machine caching for Python functions.]https://github.com/shaypal5/cachier
[sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics]https://github.com/sindresorhus/awesome
[skromnitsky/My_Projects]https://github.com/skromnitsky/My_Projects
[Speech Recognition - Speech to Text in Python using Google API, Wit.AI, IBM, CMUSphinx]https://www.pragnakalp.com/speech-recognition-speech-to-text-python-using-google-api-wit-ai-ibm-cmusphinx/
[Speed Up your Algorithms Part 2--- Numba - Towards Data Science]https://towardsdatascience.com/speed-up-your-algorithms-part-2-numba-293e554c5cc1
[Speeding up your Algorithms Part 4--- Dask - Towards Data Science]https://towardsdatascience.com/speeding-up-your-algorithms-part-4-dask-7c6ed79994ef
[Stop Worrying and Create your Deep Learning Server in 30 minutes]https://towardsdatascience.com/stop-worrying-and-create-your-deep-learning-server-in-30-minutes-bb5bd956b8de
[streamlit/streamlit: Streamlit --- The fastest way to build custom ML tools]https://github.com/streamlit/streamlit
[Superbird11/ranges: Continuous Range, RangeSet, and RangeDict data structures for Python]https://github.com/Superbird11/ranges
[The 30 Best Python Libraries and Packages for Beginners]https://www.ubuntupit.com/best-python-libraries-and-packages-for-beginners/
[The Basics of Data Visualisation with Python - Towards Data Science]https://towardsdatascience.com/the-basics-of-data-visualisation-with-python-23188aa9fc1a
[The Big Bad NLP Database: Access Nearly 300 Datasets]https://www.kdnuggets.com/2020/02/big-bad-nlp-database.html
[The Coolest Data Science And Machine Learning Tool Companies Of The 2020 Big Data 100]https://www.crn.com/slide-shows/cloud/the-coolest-data-science-and-machine-learning-tool-companies-of-the-2020-big-data-100
[The Most Underrated Python Packages - Towards Data Science]https://towardsdatascience.com/the-most-underrated-python-packages-e22bf6049b5e
[The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks]https://www.kdnuggets.com/2020/04/super-duper-nlp-repo.html
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[Top Python Libraries Used In Data Science - Towards Data Science]https://towardsdatascience.com/top-python-libraries-used-in-data-science-a58e90f1b4ba
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[Объектно-ориентированное Программирование в Python]https://python-scripts.com/object-oriented-programming-in-python#attributes
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[Перші кроки в NLP: розглядаємо Python-бібліотеку TensorFlow та нейронні мережі в реальному завданні | DOU]https://dou.ua/lenta/articles/first-steps-in-nlp-tensorflow/?from=comment-digest_post&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments
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[11 must-have алгоритмов машинного обучения для Data Scientist]https://proglib.io/p/11-ml-algorithms/
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[27 шпаргалок по машинному обучению и Python в 2017]https://proglib.io/p/ds-cheatsheets/
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[5 популярных IDE для программирования на C++]https://tproger.ru/digest/5-cpp-ide/
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[7 эффективных способов зарабатывать на искусственном интеллекте]https://proglib.io/p/make-money-with-ai/
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[9 новых технологий, которые вы можете освоить за лето и стать ценнее на рынке труда]https://tproger.ru/digest/9-new-technologies/
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[Python Tutorial: Object Oriented Programming]https://www.python-course.eu/python3_object_oriented_programming.php
[Python Tutorial: Properties vs. getters and setters]https://www.python-course.eu/python3_properties.php
[Python для Data Science: 8 понятий, которые важно помнить]https://proglib.io/p/python-data-science/
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[SQL против NoSQL на примере MySQL и MongoDB]https://tproger.ru/translations/sql-vs-nosql/
[SQLite, MySQL и PostgreSQL: сравниваем популярные реляционные СУБД]https://tproger.ru/translations/sqlite-mysql-postgresql-comparison/
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[Библиотека Numpy. Полезные инструменты]https://devpractice.ru/numpy-useful-functions/
[Большая подборка материалов по машинному обучению: книги, видеокурсы, онлайн-курсы]https://proglib.io/p/learning-ml/
[Большая подборка ресурсов для изучения Android-разработки]https://tproger.ru/digest/master-android-development/
[Быстрый старт в Java: от установки необходимого софта до первой программы]https://tproger.ru/articles/start-writing-in-java/
[Введение в глубинное обучение]https://proglib.io/p/intro-to-deep-learning/
[Визуальное пояснение JOIN'ов на SQL :: Блог Вастрик.ру]https://vas3k.ru/blog/97/
[Где программисту-новичку найти упражнения и идеи для проектов?]https://tproger.ru/translations/where-to-find-ideas/
[Еженедельная подборка свежих и самых значимых новостей o Python]https://pythondigest.ru/
[Зачем аналитикам данных знать SQL]https://tproger.ru/blogs/why-data-analysts-need-sql/
[Из армии в IT или как я стал С# разработчиком с помощью JavaRush]https://javarush.ru/groups/posts/2466-iz-armii-v-it-ili-kak-ja-stal-dotnet-razrabotchikom-s-pomojshjhju-javarush
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[Изучаем алгоритмы: полезные книги, веб-сайты, онлайн-курсы и видеоматериалы]https://proglib.io/p/awesome-algorithms/
[Как выучить TypeScript за 2 дня и почему стоит начать прямо сейчас: опыт автора Tproger]https://tproger.ru/articles/how-to-learn-typescript/
[Как начать разрабатывать под Android]https://tproger.ru/translations/how-to-start-android/
[Как понять, что у тебя глубокие знания в JavaScript]https://proglib.io/p/deep-js/
[Как попасть в IT после 30]https://proglib.io/p/it-after-thirty/
[Как правильно искать и читать научные статьи?]https://proglib.io/p/research-papers/
[Как разобраться в Computer Science самостоятельно]https://tproger.ru/curriculum/computer-science-step-by-step/
[Как стать Junior-разработчиком и устроиться на работу за 4 месяца]https://proglib.io/p/junior-developer/
[Книги по программированию на Java. Книги для Джава программиста]https://tproger.ru/books/java-free-advanced-books/
[Курс Harvard CS50 - Лекция: Библиотеки Си]https://javarush.ru/quests/lectures/questharvardcs50.level01.lecture13
[Меняем схему базы данных в PostrgreSQL, не останавливая работу приложения]https://tproger.ru/translations/postgres-ddl-without-downtime/
[Начало работы с PostgreSQL | Записки программиста]https://eax.me/postgresql-install/
[Нові записи на тему «Python» --- Стрічка | DOU]https://dou.ua/lenta/tags/Python/
[Нюансы перехода на Kotlin, или Руководство для Android-разработчика по предательству Java]https://tproger.ru/articles/switch-from-java-to-kotlin/
[Объяснение взаимодействия методов (для новичков)]https://javarush.ru/groups/posts/2659-prosteyshee-obhhjasnenie-vzaimodeystvija-metodov-dlja-novichkov?utm_source=eSputnik-$email-digest&utm_medium=email&utm_campaign=$email-digest-36-active-user&utm_content=788825223
[Основные команды SQL, которые должен знать каждый программист]https://tproger.ru/translations/sql-recap/
[От новичка до профи в машинном обучении за 3 месяца]https://proglib.io/p/ml-3months/
[Паттерны проектирования на Python]https://refactoring.guru/ru/design-patterns/python
[Подборка бесплатных курсов с Coursera, которые прокачают ваш скилл в программировании]https://tproger.ru/digest/it-programming-courses/
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[Подборка книг по программированию на Python (Питон)]https://tproger.ru/books/free-python-books/
[Подборка материалов для изучения баз данных и SQL]https://proglib.io/p/sql-digest/
[Подборка материалов для начинающего Enterprise разработчика]https://tproger.ru/digest/enterprise-junior/
[Подборка материалов по нейронным сетям]https://proglib.io/p/neural-networks-digest/
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[Работа с документацией в Python: поиск информации и соглашения]https://proglib.io/p/python-docs/
[Разбираемся в алгоритмах и структурах данных. Доступно и понятно | DOU]https://dou.ua/lenta/articles/what-you-should-know-about-algorithms/
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