mcadil Goto Github PK
Type: User
Type: User
A C library for statistical and scientific computing
Introductory overview of Bayesian inference
:books: Web app for browsing, reading and downloading eBooks stored in a Calibre database
The Bobs List Django project from my Udemy tutorial series
First Django project from my Udemy tutorial series
Third project from my Udemy Django tutorial series
A Primer on Python for Statistical Programming and Data Science
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Rewriting my jwst_tracker script using a different method of getting the data.
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
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.
This is a cheat sheet I created for my NumPy learn in one tutorial.
This is the cheat sheet Jupyter Notebook I made for my Pandas Learn in One Video Tutorial. I basically condensed the Pandas API down into this one cheat sheet with hundreds of examples. I hope you find it useful.
Jupyter notebook and datasets from the pandas Q&A video series
This Jupyter Notebook condenses the Plotly API into one easy to use document with examples
Python Data Science Handbook: full text in Jupyter Notebooks
Tutorial: Bayesian Statistical Analysis in Python
Computational Statistics II Tutorial at SciPy 2015
This is the Seaborn cheat sheet I made to go along with my Seaborn Tutorial Series
Linear Regressions with StatsModels Notebook for my Udemy Python Data Science Machine Learning Course
Text and supporting code for Think Stats, 2nd Edition
Files for my Udemy course specifically on Time Series Analysis
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
wxMEdit, a cross-platform Text/Hex Editor, an improved version of MadEdit
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.