Stars
Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Data Science Using Python
The "Python Machine Learning (3rd edition)" book code repository
Source code for my collection of articles on using pandas.
USC urban data science course series in Python
Materials for my Pycon 2015 scikit-learn tutorial.
Hands-on Exploratory Data Analysis with Python, published by Packt
Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
A benchmark dataset for data-driven weather forecasting
Discussion of general issues related to the project.
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
Joyplots in Python with matplotlib & pandas 📈
A Python Library for Self Organizing Map (SOM)
Introduction to python use in geosciences.
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )
Tutorial on geospatial data manipulation with Python
Create automatic playlists by using Deep Learning to *listen* to the music.
Notebooks and libraries for spatial/geo Python explorations
Python (3.8+) version of CLIMADA
Repositório para armazenamento de código e notebooks de postagens do blog e cursos.
Various examples for Google Earth Engine in Python using Jupyter Notebook
A series of Jupyter notebook to learn Google Earth Engine with Python
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to ex…
Ciência de Dados aplicada à pandemia do novo coronavírus.