baremetal-arm
PythonDataScienceHandbook
| baremetal-arm | PythonDataScienceHandbook | |
|---|---|---|
| 3 | 98 | |
| 564 | 41,540 | |
| - | - | |
| 0.0 | 0.6 | |
| almost 3 years ago | 11 days ago | |
| C | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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baremetal-arm
- GitHub - umanovskis/baremetal-arm: An ebook about bare-metal programming for ARM
- Bare-metal C programming on ARM
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Free 500+ books and learning resources for every programmer.
Bare-metal programming for ARM - Daniels Umanovskis (PDF)
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?
arm-none-eabi-gcc-xpack - A binary distribution of the Arm Embedded GCC toolchain
django-livereload-server - Livereload functionality integrated with your Django development environment.
zig-riscv-embedded - Experimental Zig-based CoAP node for the HiFive1 RISC-V board
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
How-to-Make-a-Computer-Operating-System - How to Make a Computer Operating System in C++
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
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