Coding style, and how to use Python’s Black auto-formatting tool for cleaner code, Common sources of bugs, and how to detect them with static analyzers, How to structure the files in your code projects with the Cookiecutter template tool, Functional programming techniques like lambda and higher-order functions, How to profile the speed of your code with Python’s built-in, The computer science behind Big-O algorithm analysis, How to make your comments and docstrings informative, and how often to write them, How to create classes in object-oriented programming, and why they’re used to organize code. What would you like to do? We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. 109 comments. Skip to content. Learn how to read from a text file of quotes, randomly choose one, and print it to your terminal. Chapter 10: Writing Effective Functions Active 2 years ago. Chapter 14: Practice Projects, PART 3: OBJECT-ORIENTED PYTHON You’ve completed a basic Python programming tutorial or finished Al Sweigart’s best selling Automate the Boring Stuff with Python. I am going to convert those word documents into .rst files over the course of the next few days. View the Index. All Rights Reserved. La fenêtre Environnements Python de Visual Studio (illustrée ci-dessous dans une large vue développée) vous fournit un emplacement unique pour gérer tous vos environnements Python généraux, environnements conda et environnements virtuels. share. PART 1: GETTING STARTED Title: Beyond the basic stuff with python : best practices for writing clean code / Al Sweigart. Toward the end of the book you’ll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book’s best practices. Chapter 9: Esoteric Python Oddities . Welcome to Beyond the Basic Stuff with Python. Sure, you could start writing some tax-accounting software, but that might not be that much fun! It looks like this trend is about to continue in 2020 and beyond. How to learn Algorithms and Data Structures . eBook: Best Free PDF eBooks and Video Tutorials © 2021. Required fields are marked *. A fellow at the Python Software Foundation, Sweigart is also the author of three other Python books with No Starch Press, including the worldwide bestseller Automate the Boring Stuff with Python. What are the next steps after starting to dabble in the Python basics? AndreUltrasi / passwordCracker.py. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} Instantly share code, notes, and snippets. More than a mere collection of advanced syntax and masterful tips for writing clean code, you’ll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Beyond the Basic Stuff with Python (No Starch Press) Wednesday, 30 December 2020 This book takes the next step beyond the basics covering the skills for becoming a capable, confident software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer in the process as you learn to write readable code that’s easy to debug and perfectly Pythonic. More than a mere collection of advanced syntax and masterful tips for writing clean code, you’ll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Chapter 16: Object-Oriented Programming and Inheritance GitHub Gist: instantly share code, notes, and snippets. Chapter 17: Pythonic OOP: Properties and Dunder Methods, View the Copyright Page Embed. Automate the Boring Stuff with Python, 2nd Edition, Python Data Cleaning Cookbook - SoftArchive, Coding style, and how to use Python’s Black auto-formatting tool for cleaner code, Common sources of bugs, and how to detect them with static analyzers, How to structure the files in your code projects with the Cookiecutter template tool, Functional programming techniques like lambda and higher-order functions, How to profile the speed of your code with Python’s built-in timeit and cProfile modules, The computer science behind Big-O algorithm analysis, How to make your comments and docstrings informative, and how often to write them, How to create classes in object-oriented programming, and why they’re used to organize code. 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