Learn Python

A curated list of helpful resources to learn Python Development. Tutorials, Code Samples, References and more!

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Beginner Courses

  • Python for Everybody

    (www.coursera.org)

    This beginner-friendly course by the University of Michigan introduces the basics of programming using Python. It's perfect for those with no prior coding experience.

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  • Google's Python Class

    (developers.google.com)

    A free online class for people with a little bit of programming experience who want to learn Python. It includes written materials, lecture videos, and code exercises.

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Advanced Courses

  • Python Design Patterns

    (refactoring.guru)

    A detailed guide focusing on design patterns in Python, this resource is vital for understanding how to solve common programming problems efficiently and effectively.

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Books

  • Python Crash Course

    (nostarch.com)

    A fast-paced introduction to programming with Python, covering essential concepts and hands-on projects to help you build working applications quickly.

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  • Python for Data Analysis

    (www.oreilly.com)

    Focused on data science, this book covers essential tools, techniques, and libraries like Pandas and NumPy, guiding readers in data analysis using Python.

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References

  • Official Python Documentation

    (docs.python.org)

    The official Python documentation is a comprehensive resource covering the language's syntax, modules, and standard library. It is essential for beginners and experienced developers alike.

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  • Real Python

    (realpython.com)

    Real Python offers a wealth of tutorials, articles, and video lessons on Python programming, ranging from beginner to advanced topics.

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  • Python Tutor

    (pythontutor.com)

    Python Tutor is a unique tool that helps visualize code execution, making it easier to understand how Python code runs step by step.

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Code Examples

Code Libraries

  • Python Package Index (PyPI)

    (pypi.org)

    PyPI is the official repository for Python software packages, where learners can explore and install libraries that extend Python's capabilities. Understanding how to use packages is vital for Python programming.

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Tools

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