Title: done with end of chapter4 and entire chapter5 by Window23 · Pull Request #2 · Window23/python_scripts · GitHub
Open Graph Title: done with end of chapter4 and entire chapter5 by Window23 · Pull Request #2 · Window23/python_scripts
X Title: done with end of chapter4 and entire chapter5 by Window23 · Pull Request #2 · Window23/python_scripts
Description: This PR adds all Python scripts and exercises created while completing Chapter 4 and 5 from [Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud] - link to the O'Reilly book can be found here - https://www.oreilly.com/library/view/intro-to-python/9780135404799/ Includes the below infos: Learned the followings in chapter4: Create custom functions. Import and use Python Standard Library modules, such as random and math, to reuse code and avoid “reinventing the wheel.” Pass data between functions. Generate a range of random numbers. Simulation techniques using random-number generation. Pack values into a tuple and unpack values from a tuple. Return multiple values from a function via a tuple. Understand how an identifier’s scope determines where in your program you can use it. Create functions with default parameter values. Call functions with keyword arguments. Create functions that can receive any number of arguments. Use methods of an object. Learned the followings in chapter5: Create and initialize lists and tuples. Refer to elements of lists, tuples and strings. Sort and search lists, and search tuples. Pass lists and tuples to functions and methods. Use list methods to perform common manipulations, such as searching for items, sorting a list, inserting items and removing items. Use additional Python functional-style programming capabilities, including lambdas and the functional-style programming operations filter, map and reduce. Use functional-style list comprehensions to create lists quickly and easily, and use generator expressions to generate values on demand. Use two-dimensional lists. Enhance analysis and presentation skills with the Seaborn and Matplotlib visualization libraries. Be aware that all scripts run correctly on Python 3.12+.
Open Graph Description: This PR adds all Python scripts and exercises created while completing Chapter 4 and 5 from [Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Clo...
X Description: This PR adds all Python scripts and exercises created while completing Chapter 4 and 5 from [Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Clo...
Opengraph URL: https://github.com/Window23/python_scripts/pull/2
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