Python Data Science Handbook: full text in Jupyter Notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Notebooks and libraries for spatial/geo Python explorations

📓 deepleaning and cv notes.

PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

A workshop on data visualization in Python with notebooks and exercises for following along.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Sliders to control matplotlib and other interactive goodies. Works in any interactive backend and even uses ipywidgets when in a Jupyter notebook

A container for Deep Learning with Python 3

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

This is the cheat sheet Jupyter Notebook I made for my Matplotlib Learn in One Video Tutorial. I basically condensed the Matplotlib API down into this one cheat sheet with tons of examples.

A python project starter template for data-analytics and data-science.

Adds a customizable menu item to Jupyter (IPython) notebooks to insert boilerplate snippets of code

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.