Dead Simple Python

Informationen zum Autor Jason C. McDonald Klappentext A lightning-fast guide to Python for programmers who already know the basics. Dead Simple Python dives deep into the nuts and bolts of the Python programming language. It unpacks the technical "whys" and "hows" of the language's fundamental concepts and helps you use these concepts to write idiomatic Python. Throughout the book, McDonald delves into Python programming concepts like structuring a project, the Python type system, functional and object-oriented programming, loops and iterators, generators and comprehensions, concurrency, distribution, and other essentials. You'll go from basics to project deployment in under 400 pages. Zusammenfassung 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. Inhaltsverzeichnis 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...

Auteur

Jason C. McDonald

Texte du rabat

A lightning-fast guide to Python for programmers who already know the basics.

Dead Simple Python dives deep into the nuts and bolts of the Python programming language. It unpacks the technical "whys" and "hows" of the language's fundamental concepts and helps you use these concepts to write idiomatic Python. Throughout the book, McDonald delves into Python programming concepts like structuring a project, the Python type system, functional and object-oriented programming, loops and iterators, generators and comprehensions, concurrency, distribution, and other essentials. You'll go from basics to project deployment in under 400 pages.

Résumé
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.

Contenu
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