dabeaz/python-cookbook

Features

• Python Learning Resources - Offers curated educational materials and practical code examples for mastering the Python programming language.
• Runnable Demonstrations - Provides technical documentation that prioritizes isolated, executable code samples over long-form prose to demonstrate problem-solving patterns.
• Programming Language Mastery Guides - Provides technical tutorials focused on Python-specific mechanics, idiomatic patterns, and advanced language features.
• Example-Driven Tutorials - Uses isolated executable examples to demonstrate specific programming concepts for language learning.
• Common Programming Patterns - Provides a collection of reusable solutions and idiomatic Python approaches for solving recurring software design problems.
• Python Script Collections - Provides a diverse collection of Python scripts demonstrating functional capabilities and idiomatic patterns across different domains.
• Architectural Pattern Implementations - Implements reference versions of fundamental software design patterns and structural solutions in executable Python code.
• Python Patterns - Implements Python-specific architectural patterns to reduce complexity and ensure readable software development.
• Python Best Practices - Demonstrates language-specific conventions and idiomatic patterns for writing high-quality, maintainable Python code.
• Architecture Reference Implementations - Provides a reference architecture that demonstrates best practices and design patterns through executable source code.
• Python Tutorials - Provides instructional content and hands-on examples focusing on the features and application of the Python language.
• Python Programming Guides - Serves as a programming guide focused on Python language features, syntax, and best practices through runnable scripts.
• Textbook-Mapped Organization - Groups source files into independent scripts that mirror the structure of a technical reference or textbook.
• Source Code Modularization - Splits a large body of programming knowledge into small isolated files to allow for targeted execution and testing.
• Stateless Script Implementations - Implements code samples as self-contained units that execute without relying on external shared state.
• Stateless Execution - Designs each code sample to run independently without requiring a shared global state or complex setup.
• Reference-to-Code Mappings - Aligns the directory structure and naming conventions with an external textual reference for easy lookup.
• Recipe-Based Project Structures - Segments functionality into independent scripts based on distinct problem domains for easy isolation and reuse.

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