Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Pythondatasciencehandbook | 40,176 | a month ago | 206 | mit | Jupyter Notebook | |||||
Python Data Science Handbook: full text in Jupyter Notebooks | ||||||||||
Tqdm | 26,383 | 13,119 | 15,455 | 5 days ago | 135 | August 10, 2023 | 482 | other | Python | |
:zap: A Fast, Extensible Progress Bar for Python and CLI | ||||||||||
Data Science For Beginners | 24,812 | 6 days ago | 49 | mit | Jupyter Notebook | |||||
10 Weeks, 20 Lessons, Data Science for All! | ||||||||||
Ydata Profiling | 11,515 | 80 | 116 | 13 hours ago | 40 | February 03, 2023 | 214 | mit | Python | |
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. | ||||||||||
Pandas_exercises | 9,558 | a day ago | 30 | bsd-3-clause | Jupyter Notebook | |||||
Practice your pandas skills! | ||||||||||
Py | 6,405 | a month ago | 160 | Jupyter Notebook | ||||||
Repository to store sample python programs for python learning | ||||||||||
Pandas Cookbook | 6,068 | 8 months ago | 32 | Jupyter Notebook | ||||||
Recipes for using Python's pandas library | ||||||||||
Lux | 4,642 | 2 | 5 months ago | 18 | February 19, 2022 | 81 | apache-2.0 | Python | ||
Automatically visualize your pandas dataframe via a single print! 📊 💡 | ||||||||||
Dtale | 4,355 | 23 | 5 days ago | 178 | November 29, 2023 | 55 | lgpl-2.1 | TypeScript | ||
Visualizer for pandas data structures | ||||||||||
Machine_learning_complete | 4,296 | 2 months ago | mit | Jupyter Notebook | ||||||
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques. |
Repository to store sample Python programs.
This repository is meant for beginners to assist them in their learning of Python. The repository covers a wide range of algorithms and other programs, and would prove immensely helpful for everybody interested in Python programming.
If this is your first time coding in Python, I would love to suggest you begin from the Basics. They are simple to understand and hopefully will prove fun to you.
You can also pay a visit to my very own Youtube channel.
Contributions to the repository are welcome.