lucumr
PythonDataScienceHandbook
lucumr | PythonDataScienceHandbook | |
---|---|---|
2 | 98 | |
219 | 41,485 | |
- | - | |
7.7 | 0.6 | |
27 days ago | 8 days ago | |
CSS | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lucumr
-
Best Websites For Coders
Armin Ronacher's Thoughts and Writings : blog on Python and open source
-
You Can't Do That: Abstracting over Ownership in Rust with Higher-Rank Type Bounds. Or Can You?
I published an earlier blog post about how you cannot do something in Rust. You can still find that earlier post on github if you want to see it (You can't Do That: Abstracting over Ownership in Rust with Type Inference)
PythonDataScienceHandbook
-
About Data analyst, data scientist and data engineer, resources and experiences
Python Data Science Handbook
-
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
-
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.
-
Other programing options?
Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)
-
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.
-
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?
-
Python equivalent to R's ecosystem of open source educational materials
I can recommend https://jakevdp.github.io/PythonDataScienceHandbook/
What are some alternatives?
cheatsheets - Cheatsheets for web development - devhints.io
django-livereload-server - Livereload functionality integrated with your Django development environment.
Projects - :page_with_curl: A list of practical projects that anyone can solve in any programming language.
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!
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
react-bits - ✨ React patterns, techniques, tips and tricks ✨
scikit-learn - scikit-learn: machine learning in Python
Wagtail - A Django content management system focused on flexibility and user experience