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Python (Programming Language)

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About this learning path

Python (Programming Language)

Supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library

It comes from

  • ↑ Computer programming
  • includes the learning paths

    and can be deepened into

  • ↓ Machine Learning
  • ↓ Data Visiualization
  • ↓ Data Science
  • Web resources
    Start immediately and learn at your own pace.

    Flexible schedule
    Set and adhere to flexible deadlines.

    Approx. 4 months to complete
    Recommended 12 hours/week

    Mostly English

    Curator

    There is no curator for
    Python (Programming Language) yet!

    This How it Works

    You go station by station. In each station you'll find resources containing:

    1. Information

    2. Educational content

    3. Places to exchange infos

    4. Applications, Tools

    ( 5. Entertaining content )

    After studying a resource, you check it.

    Between stations, sometimes there are learning paths. They need to be studied as well as they pose a qualification for upcoming content.

    After finishing this learning path, you can specialize further or apply what you learned in another learning path.

    Learning Path

    Station

    1

     

    python Programming language

    »

    learnpython.org Tutorial

    »

    PyCharm Edu IDE

    »

    Learn Python 3 Lessons

    »

    Colaboratory IDE

    »

    Project Jupyter IDE

    »

    Anaconda Distribution Program

    Station

    2

    »

    NumPy Library

    »

    pandas Library

    »

    Natural Language Toolkit Software library

    »

    pip Package manager

    »

    Matplotlib Library

    »

    Agate Library

    »

    python-kurs.eu Portal

    »

    Chris Albon

    »

    Python Data Science Handbook E-Book

    »

    Pandas Tutorial (Data Analysis In Python) Tutotrial

    Station

    3

    »

    Keras Software Library

    »

    TensorFlow Framework

    »

    Atom IDE

    »

    Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

    »

    Introduction to Computer Science and Programming Using Python Lectures

    »

    Computer Science Online Course

    »

    Data Wrangling with Python Guide

    Station

    4

    »

    PyTorch Framework

    »

    pytest Framework

    »

    OpenFace Library

     

    Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Non-Fiction