PythonDataScienceHandbook
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Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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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/
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Plotnine: Grammar of Graphics for Python
This tutorial is excellent, and skimming it was worth it to me just for the discovery of https://github.com/Phlya/adjustText!
Also, an unfortunate namespace wart is that there's a python package called ggpy that seems to have been abandoned since 2016: https://github.com/yhat/ggpy
"plotnine" being the de facto python equivalent of ggplot2 is not obvious at all, but I'll take it :)
What are some alternatives?
django-livereload-server - Livereload functionality integrated with your Django development environment.
joypy - Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
nlp_graph - graph representation of word embeddings
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Recwpy - small python tool that makes it easy to open the microphone and work with its data even display live stream plot with just line of code in python
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
lets-plot - Multiplatform plotting library based on the Grammar of Graphics
devdocs - API Documentation Browser
30-day-map-challenge - Maps made as part of the #30DayMapChallenge - mostly in python but also use QGIS and other tools