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Barnes and Noble

Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code

Current price: $39.99
Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code
Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code

Barnes and Noble

Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code

Current price: $39.99

Size: Paperback

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You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, . What's the next step toward becoming a capable, confident software developer? Welcome to . 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. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program—not just in Python but in any language. You'll learn: 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. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Covers Python 3.6 and higher
  • 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
  • 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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