How-to-Make-a-Computer-Operating-System
PythonDataScienceHandbook
How-to-Make-a-Computer-Operating-System | PythonDataScienceHandbook | |
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4 | 98 | |
20,851 | 41,540 | |
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0.0 | 0.6 | |
over 2 years ago | 10 days ago | |
C | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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How-to-Make-a-Computer-Operating-System
- System related C projects
- Resources to learn os concepts
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Free 500+ books and learning resources for every programmer.
How to Make a Computer Operating System (🚧 in process)
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10 Advanced Projects to Build in 2021
Rust: https://os.phil-opp.com/ C: https://github.com/cfenollosa/os-tutorial C++: https://github.com/SamyPesse/How-to-Make-a-Computer-Operating-System
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?
baremetal-arm - An ebook about bare-metal programming for ARM
django-livereload-server - Livereload functionality integrated with your Django development environment.
github-cheat-sheet - A list of cool features of Git and GitHub.
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
Theseus - Theseus is a modern OS written from scratch in Rust that explores 𝐢𝐧𝐭𝐫𝐚𝐥𝐢𝐧𝐠𝐮𝐚𝐥 𝐝𝐞𝐬𝐢𝐠𝐧: closing the semantic gap between compiler and hardware by maximally leveraging the power of language safety and affine types. Theseus aims to shift OS responsibilities like resource management into the compiler.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
picolisp-works - The source-code of the free book "PicoLisp Works"
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
thor-os - Simple operating system in C++, written from scratch
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
book - Using Raku – an unfinished book about Raku
devdocs - API Documentation Browser