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Dead Simple Python: Idiomatic Python for the Impatient Programmer

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The complete core language for existing programmers.

Dead Simple Python is a thorough introduction to every feature of the Python language for programmers who are impatient to write production code. Instead of revisiting elementary computer science topics, you’ll dive deep into idiomatic Python patterns so you can write professional Python programs in no time.

After speeding through Python’s basic syntax and setting up a complete programming environment, you’ll learn to work with Python’s dynamic data typing, its support for both functional and object-oriented programming techniques, special features like generator expressions, and advanced topics like concurrency. You’ll also learn how to package, distribute, debug, and test your Python project.

Master how to:
  • Make Python's dynamic typing work for you to produce cleaner, more adaptive code.
  • Harness advanced iteration techniques to structure and process your data.
  • Design classes and functions that work without unwanted surprises or arbitrary constraints.
  • Use multiple inheritance and introspection to write classes that work intuitively.
  • Improve your code's responsiveness and performance with asynchrony, concurrency, and parallelism.
  • Structure your Python project for production-grade testing and distribution

  • The most pedantically pythonic primer ever printed, Dead Simple Python will take you from working with the absolute basics to coding applications worthy of publication.

    ISBN-13: 9781718500921

    Media Type: Paperback

    Publisher: No Starch Press

    Publication Date: 11-22-2022

    Pages: 752

    Product Dimensions: 7.00(w) x 9.20(h) x 1.90(d)

    Jason C. McDonald is a software developer, speaker, and author of both fiction and non-fiction. By day, he works as a Principal Consultant at Sparq, specializing in Python software engineering. By night, he is the founder of MousePaw Media, an open source software organization where he trains software development interns. You can usually find him haunting his local coffee shops.

    Table of Contents

    Introduction
    Part 1: The Python Environment
    Chapter 1: The Python Philosophy
    Chapter 2: Your Workbench
    Chapter 3: Syntax Crash Course
    Chapter 4: Project Structure and Imports
    Part 2: Essential Structures
    Chapter 5: Variables and Types
    Chapter 6: Functions and Lambdas
    Chapter 7: Objects and Classes
    Chapter 8: Errors and Exceptions
    Part 3: Data and Flow
    Chapter 9: Collections and Iteration
    Chapter 10: Generators and Comprehensions
    Chapter 11: Text IO and Context Managers
    Chapter 12: Binary and Serialization
    Part 4: Advanced Concepts
    Chapter 13: Inheritance and Mixins
    Chapter 14: Metaclasses and ABCs
    Chapter 15: Inspection and Generics
    Chapter 16: Asynchrony and Concurrency
    Chapter 17: Threading and Parallelism
    Part 5: Beyond the Code
    Chapter 18: Packaging and Distribution
    Chapter 19: Debugging and Analysis
    Chapter 20: Testing and Profiling
    Chapter 21: The Parting of the Ways
    Appendix A: Special Attributes and Methods
    Appendix B: Python Debugger (pdb) Commands
    Glossary