PythonDataScienceHandbook
react-bits
| PythonDataScienceHandbook | react-bits | |
|---|---|---|
| 98 | 7 | |
| 41,593 | 16,514 | |
| - | - | |
| 0.6 | 3.3 | |
| 19 days ago | 29 days ago | |
| Jupyter Notebook | ||
| MIT License | Creative Commons Attribution 4.0 |
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PythonDataScienceHandbook
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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/
react-bits
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Ultimate Guide & Resources to Enhancing Your ReactJS Skills || 16 GitHub repositories
Master the art of React with these bite-sized React Bits - quick tips and tricks for efficient development.
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16 Github Repos to master React
6-) Repo with small tricks and tips where experiences are transferred as well as learning by reading react-bits
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100+ Must Know Github Repositories For Any Programmer
1. React Bits
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10 GitHub repositories to Become a React Master 👨💻💯
Gitbook format: https://vasanthk.gitbooks.io/react-bits
- Good repository for Reference
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Free 500+ books and learning resources for every programmer.
React-Bits (vasanthk)
What are some alternatives?
django-livereload-server - Livereload functionality integrated with your Django development environment.
react - Cheatsheets for experienced React developers getting started with TypeScript
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
devdocs - API Documentation Browser
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
clojure-style-guide - A community coding style guide for the Clojure programming language
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
papers-we-love - Papers from the computer science community to read and discuss.
lisp-koans - Common Lisp Koans is a language learning exercise in the same vein as the ruby koans, python koans and others. It is a port of the prior koans with some modifications to highlight lisp-specific features. Structured as ordered groups of broken unit tests, the project guides the learner progressively through many Common Lisp language features.