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Best Resources to Learn Python

Best Resources to Learn Python

Best Python Resources

  1. Learn Python the Hard Way
  2. Python Practice Book — Python Practice Book
  3. Making Games with Python & Pygame
  4. Python Programming Tutorials
  5. Jupyter Notebook Viewer
  6. nbviewer
  7. Jupyter Notebook Viewer
  8. Complete-Python-Bootcamp/Solution Links.md at master
  9. Learning Python – The Hitchhiker’s Guide to Python
  10. The Python Standard Library – Python 3.7.2 documentation
  11. Complete Python Bootcamp: Go from zero to hero in Python 3 - Udemy
  12. Welcome to Python for you and me
  13. Problem Solving with Algorithms and Data Structures using Python
  14. CodingBat Python
  15. GuiProgramming – Python Wiki
  16. The 10 most popular coding challenge websites for 2017
  17. Learn Python – Free Interactive Python Tutorial
  18. Welcome to Python.org
  19. Built-in Functions — Python 3.7.3 documentation
  20. Hello, World! – Learn Python – Free Interactive Python Tutorial
  21. The Python Tutorial — Python 3.7.3 documentation
  22. Quick Guide to Boosting Algorithms in Machine Learning
  23. Analytics Community - Analytics Discussions - Big Data Discussion
  24. Learn Python – Python Tutorials – DataFlair

Best Numpy Resources

  1. arrays – What are the advantages of NumPy over regular Python lists? – Stack Overflow
  2. python – Why are NumPy arrays so fast? – Stack Overflow
  3. Numpy and Scipy Documentation – Numpy and Scipy documentation
  4. NumPy – NumPy
  5. Overview – NumPy v1.16 Manual

Best Pandas Resources

  1. pandas
  2. DataFrame – pandas 0.24.2 documentation
  3. Merge, join, and concatenate — pandas 0.24.2 documentation
  4. Series – pandas 0.24.2 documentation
  5. Binomial Probability Calculator
  6. Series – pandas 0.24.2 documentation
  7. Reshaping in Pandas – Pivot, Pivot-Table, Stack and Unstack explained with Pictures – Python / C++
  8. Counting and Basic Frequency Plots – Python

Python Visualization Resources

  1. Seaborn
  2. rougier/matplotlib-tutorial: Matplotlib tutorial for beginner
  3. A step-by-step guide for creating advanced Python data visualizations with Seaborn / Matplotlib
  4. Pyplot tutorial — Matplotlib 2.0.2 documentation
  5. Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

Other Resources

  1. Contests - Analytics Vidhya
  2. Working With Text Data — scikit-learn 0.20.3 documentation
  3. Python RegEx
  4. Python Regex: re.match(), re.search(), re.findall() with Example
  5. FakeNewsDetection/FakeBuster: Fake News Detection with Machine Learning

Websites to learn Python

  1. https://interactivepython.org
  2. https://inventwithpython.com
  3. https://numpy.org
  4. https://pandas.pydata.org
  5. https://analyticsvidhya.com
  6. https://anandology.com
  7. https://blogs.baruch.cuny.edu
  8. https://codingbat.com
  9. https://data-flair.training
  10. https://datahack.analyticsvidhya.com
  11. https://docs.python.org
  12. https://docs.python-guide.org
  13. https://docs.scipy.org
  14. https://etav.github.io
  15. https://freecodecamp.org
  16. https://github.com
  17. https://guru99.com
  18. https://learnpython.org
  19. https://learnpythonthehardway.org
  20. https://matplotlib.org
  21. https://nbviewer.jupyter.org
  22. https://pandas.pydata.org
  23. https://pymbook.readthedocs.io
  24. https://python.org
  25. https://pythonprogramming.net
  26. https://scikit-learn.org
  27. https://seaborn.pydata.org
  28. https://stackoverflow.com
  29. https://stattrek.com
  30. https://towardsdatascience.com
  31. https://udemy.com
  32. https://w3schools.com
  33. https://wiki.python.org

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About the Author

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Dr. Hari Thapliyal is a prolific blogger and seasoned professional with an extensive background in Data Science, Project Management, and Advait-Vedanta Philosophy. He holds a Doctorate in AI/NLP from SSBM, Geneva, along with Master’s degrees in Computers, Business Management, Data Science, and Economics. With over three decades of experience in management and leadership, Hari has extensive expertise in training, consulting, and coaching within the technology sector. His specializations include Data Science, AI, Computer Vision, NLP, and machine learning. Hari is also passionate about meditation and nature, often retreating to secluded places for reflection and peace.

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