PythonDataScienceHandbook VS devdocs

Python Data Science Handbook

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

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.

Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)

Otherwise you can work through courses on Datacamp, Coursera, Udemy, etc, or check out this book for a more general non-spatial perspective.

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.

I can recommend https://jakevdp.github.io/PythonDataScienceHandbook/

> I've started to preface all python searches with 'site:python.org'

You might find DevDocs to be useful: https://devdocs.io/

DevDocs - Aggregates documentation from various sources into a single, easy-to-navigate interface, covering frontend and backend technologies. DevDocs

DevDocs, an offline API documentation browser, supports multilingual, offering developers a quick and efficient way to access tech docs. From front-end to back-end and mobile development, it integrates official documentation, providing a sleek, user-friendly interface.

Environmental lighting conditions rule the day! I have astigmatism and I prefer bright backgrounds; #000 text on #fff backgrounds works great for me, but that's because I work in a room lit by a 250W 30,000 lumen corn-cob LED bulb[0] that makes my small office as bright on the inside as the shaded ground from a tree on an overcast day (which is quite bright compared to usual indoor lighting). In a room that bright, high contrast text works great and is highly readable, with "dark mode" often looking washed out and muddy. Even small reductions in contrast (such as what https://devdocs.io does with text of #333 in light mode) can make me notice and wish for greater contrast.

[0] - https://www.benkuhn.net/lux/

Here's how to add a new scraper: https://github.com/freeCodeCamp/devdocs/blob/main/.github/CO...

Or open an issue and wait for somebody else to implement the scraper.

Imagine a single, intuitive platform where you can access comprehensive documentation for a vast array of programming languages, frameworks, libraries, and tools. That's the magic of DevDocs. This exceptional resource eliminates the frustration of juggling multiple tabs and websites in your quest for information. DevDocs brings everything together into one easy-to-use interface.

Mosh for a stable connection, Offline documentation such as msdn, wikipedia (via kiwi etc), zeal for local access to https://devdocs.io/; Self host tabby for ai autocompletion. For many shell programs check what mulinux was using back then, and what are the modern replacements such as elinks instead of links. Mutt for mail, for irc doesn't matter much, use a desktop one but setup a bouncher on a vps, I used to have one on a raspberry pi 1, you can use rss reader for reddit (not sure if still works) and blogs

1.DEVDOCS.IO: -- DevDocs.IO