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This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience.
Example SAS code from my various papers, presentations and classes.
SAS macros for statistics and graphics
Teaching and lab materials for the "SAS Programming for R Users" course, including course notes, data, and code.
A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.
A Python interface module to the SAS System. It works with Linux, Windows, and mainframe SAS. It supports the sas_kernel project (a Jupyter Notebook kernel for SAS) or can be used on its own.
Sample notebooks that show the capabilities of SASPy. Use these for learning and for validating your environment. And contribute your own!
Sublime plugin sending command to SAS
Materials for the satRday tutorial on data cleaning
Content for my data visualisation workshop for satRday Johannesburg
Simulation-based Inference for Epidemiological Dynamics
Source code of Statistical Computing 2 website
Code and data for "Sceptic priors and climate policy" paper
Predicting high school students most at-risk for dropping out of high school
Understanding the drivers behind more girls dropping out of Indian schools than boys
A template RStudio project with data analysis and manuscript writing.
website
Code for repository Scientific Computing with Python 3, published by Packt publishing.
Lectures on scientific computing with python, as IPython notebooks.
❗️WIP❗️An open access book on scientific visualization using python and matplotlib
scikit-learn(sklearn) 官方文档中文版
IPython notebooks from the scikit-learn video series
Survival analysis built on top of scikit-learn
Scikit-learn tutorial at SciPy2016
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
Scipy 2017 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
Pandas tutorial for SciPy 2019
Scipy Cookbook
Tutorial material on the scientific Python ecosystem
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.