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4 repositorios

Awesome GitHub RepositoriesPython Advanced Techniques

Master intermediate-to-advanced Python topics like generators, decorators, and context managers.

Distinct from Advanced Programming References: Distinct from Advanced Programming References: specifically focuses on Python language techniques, not general programming references.

Explore 4 awesome GitHub repositories matching education & learning resources · Python Advanced Techniques. Refine with filters or upvote what's useful.

Awesome Python Advanced Techniques GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • eastlakeside/interpy-zhAvatar de eastlakeside

    eastlakeside/interpy-zh

    6,466Ver en GitHub↗

    interpy-zh is the Chinese translation of the Intermediate Python book, an open-source educational resource that makes advanced Python concepts accessible to Mandarin-speaking readers. It serves as an intermediate-to-advanced Python tutorial, covering topics such as generators, decorators, and context managers for developers seeking deeper language mastery. The book is organized into sequential chapters that build from basic to advanced Python concepts, with each topic grouped into self-contained modules for focused study. It teaches primarily through runnable code snippets with inline annotat

    Teaches intermediate-to-advanced Python techniques like generators, decorators, and context managers.

    CSSbookpythonpython3
    Ver en GitHub↗6,466
  • huangsam/ultimate-pythonAvatar de huangsam

    huangsam/ultimate-python

    5,873Ver en GitHub↗

    Ultimate Python is a code-first educational resource for mastering the Python programming language. It organizes learning into self-contained, runnable modules that progress from fundamental syntax through advanced features, all without any external dependencies or build tools. The project is structured as a flat file hierarchy where each module is named by topic and can be executed independently. This design enables self-paced, hands-on practice with core Python concepts including built-in data structures, object-oriented programming, and advanced topics such as decorators, threading, and as

    Covers advanced Python topics including decorators, context managers, threading, and asyncio.

    Pythonhacktoberfestinternationallearn-to-code
    Ver en GitHub↗5,873
  • jakevdp/whirlwindtourofpythonAvatar de jakevdp

    jakevdp/WhirlwindTourOfPython

    4,006Ver en GitHub↗

    Este proyecto es una colección de recursos curriculares y tutoriales prácticos diseñados para enseñar programación en Python y computación científica. Consiste en una serie de lecciones interactivas y cuadernos ejecutables que proporcionan un enfoque guiado para aprender Python a través de una combinación de código y prosa. El plan de estudios está diseñado específicamente para que programadores experimentados dominen rápidamente la sintaxis, las estructuras de datos y la semántica central del lenguaje Python. Incluye una guía introductoria a las bibliotecas y entornos de programación utilizados para la computación científica y el análisis de conjuntos de datos complejos. El material educativo cubre los fundamentos de la programación en Python, sintaxis avanzada y los conjuntos de herramientas necesarios para la ciencia de datos. Estas lecciones se entregan a través de una estructura basada en cuadernos que integra texto narrativo y notación matemática con código en vivo.

    Provides a high-speed curriculum covering advanced Python techniques, language semantics, and idiomatic syntax.

    Jupyter Notebook
    Ver en GitHub↗4,006
  • yasoob/intermediatepythonAvatar de yasoob

    yasoob/intermediatePython

    3,898Ver en GitHub↗

    This project is an advanced Python tutorial and programming course designed for developers moving beyond basic syntax. It serves as a software engineering guide focused on professional coding standards, architectural patterns, and the application of complex language features. The curriculum emphasizes functional programming workflows and the use of complex data structures to solve sophisticated software engineering problems. It provides a path toward professional Python development through the study of software engineering optimization and advanced programming paradigms. The material is orga

    Provides comprehensive instruction on advanced Python techniques, including functional programming patterns and complex data structures.

    Python
    Ver en GitHub↗3,898
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