ruby-style-guide
PythonDataScienceHandbook
ruby-style-guide | PythonDataScienceHandbook | |
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4 | 98 | |
15,570 | 41,540 | |
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6.8 | 0.6 | |
about 3 years ago | 12 days ago | |
Jupyter Notebook | ||
- | MIT License |
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ruby-style-guide
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Free 500+ books and learning resources for every programmer.
A community-driven Ruby style guide
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10 Signs of a good Ruby on Rails Developer
Codebase follows Ruby best practices and style guide.
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Top 10 ways to perform fast code reviews
Community-driven
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Best Websites Every Programmer Should Visit
Ruby coding style guide : A community-driven Ruby coding style guide
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 β 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. Itβs 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?
CodeClimate - Code Climate CLI
django-livereload-server - Livereload functionality integrated with your Django development environment.
JS Bin - Collaborative JavaScript Debugging App
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!
rubocop - A Ruby static code analyzer and formatter, based on the community Ruby style guide. [Moved to: https://github.com/rubocop/rubocop]
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
Standard - π JavaScript Style Guide, with linter & automatic code fixer
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
Database Cleaner - Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing.