github-cheat-sheet
A list of cool features of Git and GitHub. (by tiimgreen)
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks (by jakevdp)
| github-cheat-sheet | PythonDataScienceHandbook | |
|---|---|---|
| 2 | 98 | |
| 45,765 | 41,540 | |
| - | - | |
| 1.8 | 0.6 | |
| 19 days ago | 12 days ago | |
| Jupyter Notebook | ||
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
github-cheat-sheet
Posts with mentions or reviews of github-cheat-sheet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-19.
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Question about a github book
Not aware of a book - but what you describe sounds a little like the github cheatsheet - could it be someone turned this (or the talk mentioned in the intro) into an ebook or pdf?
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Free 500+ books and learning resources for every programmer.
GitHub Cheat Sheet - Tim Green (Markdown)
PythonDataScienceHandbook
Posts with mentions or reviews of PythonDataScienceHandbook.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-26.
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About Data analyst, data scientist and data engineer, resources and experiences
Python Data Science Handbook
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Where to learn data science with python??
Python Data Science Handbook — learn to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and related tools to effectively store, manipulate, and gain insight from data
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Book Recommendations
I don't know what tools you will be using but if you will be using Python you can start with Python Data Science Handbook by Jake VanderPlas and Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataData Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data which gives a very good outlook on the data science and big data frame work. PS: Jake's book is also available as jupyter notebooks so you can read and run the code at the same time.
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Other programing options?
Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)
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Pathways out of GIS?
Otherwise you can work through courses on Datacamp, Coursera, Udemy, etc, or check out this book for a more general non-spatial perspective.
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
7. Data Science Handbook Are you looking for a comprehensive guide to data science with Python? Look no further than the Data Science Handbook by Jake VanderPlas. This repository contains the entire book, which introduces essential tools and techniques used in data science, including IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. It’s a fantastic resource for anyone looking to deepen their understanding of data science concepts and best practices.
- Help a lady out (career advice(
- Resources for Current DE Interested in Learning Data Science
- Good book or course to learn Python for someone who is fluent in R?
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Python equivalent to R's ecosystem of open source educational materials
I can recommend https://jakevdp.github.io/PythonDataScienceHandbook/
What are some alternatives?
When comparing github-cheat-sheet and PythonDataScienceHandbook you can also consider the following projects:
awesome-competitive-programming - :gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
django-livereload-server - Livereload functionality integrated with your Django development environment.
devdocs - API Documentation Browser
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
book - The Rust Programming Language
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
awesome-remote-job - A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
awesome-eslint - A list of awesome ESLint plugins, configs, etc.
github-cheat-sheet vs awesome-competitive-programming
PythonDataScienceHandbook vs django-livereload-server
github-cheat-sheet vs devdocs
PythonDataScienceHandbook vs Exercism - Scala Exercises
github-cheat-sheet vs book
PythonDataScienceHandbook vs Serpent.AI
github-cheat-sheet vs CppCoreGuidelines
PythonDataScienceHandbook vs lego-mindstorms
github-cheat-sheet vs awesome-remote-job
PythonDataScienceHandbook vs OSQuery
github-cheat-sheet vs awesome-eslint
PythonDataScienceHandbook vs devdocs