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| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#13-understanding-libraries-classes-control-structures-control-structures-and-regular-expressions |
| Day2-Part1-Google Colab Notebook | https://colab.research.google.com/drive/1sORrIFB8t9NbW9Nhko-EgFI1HWOKwn28 |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#day2-part1-google-colab-notebook |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#21-io-operations-in-python-and-pandas-and-ml-project-exploration |
| Day2-Part2-Google Colab Notebook | https://colab.research.google.com/drive/1hl0aHbJqoJIyC1P3OwK9UljP7bupTKEv |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#day2-part2-google-colab-notebook |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#22-aws-cloud-native-python-for-mlai |
| https://github.com/noahgift/functional_intro_to_python/tree/master/colab-notebooks | https://github.com/noahgift/functional_intro_to_python/tree/master/colab-notebooks |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#screencasts-can-be-watched-from-1-4x-speed |
| http://www.youtube.com/watch?v=xYX7n5bZw-w |
| Screencast: How to launch AWS Spot Instances and Create Custom AMIs | https://www.dropbox.com/s/z5nbv2cu1zzub97/launch_spot.mov?dl=0 |
| Screencast: How to use AWS S3 including from Pandas and Boto inside Jupyter | https://www.dropbox.com/s/fm495qy205j2lzs/s3_screencast.mov?dl=0 |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#older-version-of-python-fundamentals-safari-version-is-newer |
| Lesson1: Introductory Concepts | https://github.com/noahgift/functional_intro_to_python/blob/master/notebooks/Functional_Introduction_To_Python_Section_1(Introductory_Concepts).ipynb |
| Lesson2: Functions | https://github.com/noahgift/functional_intro_to_python/blob/master/notebooks/Functional_Introduction_To_Python_Section_2(Functions).ipynb |
| Lesson3: Control Structures | https://github.com/noahgift/functional_intro_to_python/blob/master/notebooks/Functional_Introduction_To_Python_Section_3(Control_Structures).ipynb |
| Lesson4: Intermediate Topics: Classes, Modules, Libraries | https://github.com/noahgift/functional_intro_to_python/blob/master/notebooks/Functional_Introduction_To_Python_Section_4(Intermediate_Topics).ipynb |
| Lesson5: IO in Python | https://github.com/noahgift/functional_intro_to_python/blob/master/notebooks/IO%20Python.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#additional-topics |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#python-programming-recipes |
| Immutability example notebook | https://colab.research.google.com/drive/1hZsv6KyzIHD4viFBvCYFrGaQb6Tqu4Sw |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#managed-ml-and-iot |
| Managed Machine Learning Systems and Internet of Things | https://github.com/noahgift/managed_ml_systems_and_iot |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#software-carpentary--testing-linting-building |
| How Create a Python Project Github Repository | https://github.com/noahgift/myrepo |
| How to Write "Clean" Code in Python (2010) Using Pylint | https://www.ibm.com/developerworks/aix/library/au-cleancode/ |
| How to Test Jupyter Notebooks with Pytest | https://github.com/noahgift/functional_intro_to_python/blob/master/Makefile#L9 |
| How to build and test a Python Project with CircleCI | https://github.com/noahgift/functional_intro_to_python/blob/master/.circleci/config.yml |
| How to get test Coverage with Pytest | https://github.com/noahgift/devml/blob/master/Makefile#L8 |
| How to use Pylint to Fail on Error and Warnings only | https://github.com/noahgift/devml/blob/master/Makefile#L22 |
| Increase reliability in data science and machine learning projects with CircleCI | https://circleci.com/blog/increase-reliability-in-data-science-and-machine-learning-projects-with-circleci/ |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#concurrency-in-python |
| IBM Developerworks: Writing Multi-Threaded Programs in Python (2008) | https://www.ibm.com/developerworks/aix/library/au-threadingpython/ |
| IBM Developerworks: Using Multi-processing Module in Python (2009) | https://www.ibm.com/developerworks/aix/library/au-multiprocessing/index.html |
| Writing Async Network IO Calls to AWS API | https://github.com/noahgift/awsasync |
| Worker Farm with RabbitMQ and Tornado | https://github.com/noahgift/tornado_rabbitmq_linear_optimization |
| Nuclear Powered Command-Line Tools: GPU/CUDA, JIT, Multi-threaded JIT | https://github.com/noahgift/nuclear_powered_command_line_tools |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#cloud-computing-aws-sentiment-analysis |
| AWS Sentiment Analysis Notebook | https://github.com/noahgift/recommendations/blob/master/notebooks/NLP_AWS.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#recommendation-engines |
| Hand coded tanimoto and Pandas similarity engine | https://github.com/noahgift/recommendations/tree/master/tanimoto_example |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#cloud-computing-azure-sentiment-analysis |
| NLP on Azure | https://github.com/noahgift/recommendations/blob/master/notebooks/Azure_Sentiment_Analysis.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#cloud-computing-aws |
| AWS + Boto: Python and AWS Jupyter Notebook | https://github.com/noahgift/functional_intro_to_python/blob/master/notebooks/aws/aws.ipynb |
| AWS + Boto: Launching Spot Instances From Python | https://github.com/noahgift/spot_price_machine_learning/blob/master/spot_launcher.py |
| AWS + Boto: Calling Spot Instance API to Create CLI Machine Learning Tool | https://github.com/noahgift/spot_price_machine_learning/blob/master/spot-price-ml.py |
| AWS + Boto: Spot Price Jupyter Notebook Exploration | https://github.com/noahgift/spot_price_machine_learning/blob/master/notebooks/spot_pricing_ml.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#cloud-computing-gcp |
| Google Sheets to Pandas DataFrame | https://github.com/noahgift/pragmaticai-gcp/blob/master/notebooks/dataflow_sheets_to_pandas.ipynb |
| BigQuery to Pandas to Seaborn | https://github.com/noahgift/pragmaticai-gcp/blob/master/notebooks/pragai-big-instance-BigQuery.ipynb |
| NLP on Google Cloud | https://github.com/noahgift/recommendations/blob/master/notebooks/NLP_GCP.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#machine-learning-and-data-science-full-jupyter-notebooks |
| DEVML: Datascience around Github | https://github.com/noahgift/devml |
| Social Power NBA: Datascience around the NBA and Social Media | https://github.com/noahgift/socialpowernba |
| Spot Price ML(KMeans Unsupervized Machine Learning Recommender): Datascience around AWS Spot Prices | https://github.com/noahgift/spot_price_machine_learning |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#data-visualization |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#seaborn-examples |
| Visualizing Spot Prices in Seaborn | https://github.com/noahgift/spot_price_machine_learning/blob/master/notebooks/spot_pricing_ml.ipynb |
| Correlation Heatmap in Seaborn for NBA | https://github.com/noahgift/socialpowernba/blob/master/notebooks/exploring_team_valuation_nba.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#plotly |
| Exploring 30 years of Real Estate Prices with Zillow Data and Plotly | https://github.com/noahgift/real_estate_ml/blob/master/notebooks/explore_zillow_data_sets.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#creating-commandline-tools |
| Python Commandline tool Rosetta: Comparing R, Bash, Go, Node, Python and Ruby | https://github.com/noahgift/cli-rosetta |
| Pyli: Deduplication Commandline Tool That Walks A Filesystem | https://github.com/nogibjj/pyli |
| Developersworks Article (2008): Creating Commandline Tools Python | https://www.ibm.com/developerworks/aix/library/au-pythocli/ |
| Nuclear Powered Commandline tools | https://github.com/noahgift/nuclear_powered_command_line_tools |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#creating-a-complete-data-engineering-api |
| Real world Data Engineering API | https://github.com/noahgift/pai-aws |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#statically-generated-websites |
| Interfacing with Hugo and Algolia from Python | https://github.com/noahgift/hugotools |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#deploying-python-packages-to-pypi |
| Article on how to deploy commandline tools and libraries to PyPi | https://www.ibm.com/developerworks/opensource/library/ba-github-analytics-2/index.html |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#web-scraping-in-python |
| Programatically Scraping Wikipedia API in Python: Pageviews and Articles | https://github.com/noahgift/socialpowernba/blob/master/socialpower/spwikipedia.py |
| Using Python Twitter API | https://github.com/noahgift/socialpowernba/blob/master/socialpower/spwikipedia.py |
| Serverless Web Scraping with Lambda and Step Functions | https://github.com/noahgift/web_scraping_python |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#logging-in-python |
| "Sensible" Logging Library in Python: Deployed to PyPI | https://github.com/nogibjj/sensible |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#conceptual-machine-learning |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#linear-regression |
| Linear Regression in Jupyter Notebook | https://github.com/noahgift/socialpowernba/blob/master/notebooks/exploring_endorsement_revenue_nba.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#machine-learning-model-building-for-regression |
| ML Linear Regression with Yellowbrick and SKlearn | https://github.com/noahgift/regression-concepts/blob/master/ml_regression.ipynb |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#mathematical-and-algorithmic-programming |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#optimization |
| IBM Developerworks Series on Pyomo (Linear Optimization in Python) | https://www.ibm.com/developerworks/cloud/library/cl-optimizepythoncloud1/ |
| Traveling Salesman (NP Hard Simulation Solution with Random, Greedy Start) | https://github.com/noahgift/or/blob/master/tsp_greedy_random_start.py |
| Greedy Coin Example in Python | https://github.com/noahgift/greedy_coin |
| https://patch-diff.githubusercontent.com/pythontime/functional_intro_to_python#text |
| CC-BY-NC-ND license | https://github.com/noahgift/functional_intro_to_python/blob/master/license.md |
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