js-the-right-way
PythonDataScienceHandbook
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| js-the-right-way | PythonDataScienceHandbook | |
|---|---|---|
| 5 | 98 | |
| 8,662 | 41,485 | |
| 0.2% | - | |
| 0.0 | 0.6 | |
| 3 months ago | 6 days ago | |
| HTML | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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js-the-right-way
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Awesome Github Repos to Master JAVASCRIPT
😎 A reference for best JS practices and accepted coding standards. -> js-the-right-way
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26 [M4A] "ask a web developer"
Frontend * JavaScript(https://jstherightway.org/), for a framework: React or Vue * Basic understanding of CSS and HTML, for CSS framework go with Tailwind and learn preprocessor SASS. For HTML, learn the API’s of HTML5(eg WebStorage, WebWorkers etc) * Plus learn any js bundler, suggestion is esbuild
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Why it is previewing differently when i clone it locally ?
I liked this repo , and i wanted to clone it to make some visual improvment. and you can see their online preview here.
- de cero en Js, ayuda chicos
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Free 500+ books and learning resources for every programmer.
JavaScript the Right Way
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/
What are some alternatives?
Cash-register-app - Day 7 of Training: Make a cash register app
django-livereload-server - Livereload functionality integrated with your Django development environment.
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
deep-dive-into-react-codebase - The project contains code snippets, examples and DIY implementations for "Deep dive into React codebase" series
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
BPM_Counter - 🎵 A web app/OSX dashboard app for counting BPM
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
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.
devdocs - API Documentation Browser