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6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

abinit

The official github mirror of the Abinit repository. We welcome bug fixes and improvements. Note that most of the active developments are hosted on our https://gitlab.abinit.org/ server. Before embarking on making significant changes, please contact the Abinit group.

abitutorials

Abinit tutorials based on AbiPy

altair

Declarative statistical visualization library for Python

astronomy-notebooks

iPython Notebooks showing off NumPy, matplotlib, and our universe

awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

bookbook

Tools to use a collection of notebooks as 'chapters'

celestools

cheatsheets

My cheatsheets

ckeditor5

Powerful rich text editor framework with a modular architecture, modern integrations and features like collaborative editing.

compute-canada-hpc

Beginner tutorials and help for using Compute Canada's High Performance Computer. Learn to setup and run a Jupyter Notebook!

contacttracing

coronavirus-tracker-api

🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!

covid-19-data

Data on COVID-19 (coronavirus) confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data

covid-19-notebooks

Data analysis of the COVID-19 outbreak in Italy updated daily from official sources

covid19py

A tiny Python package for easy access to up-to-date Coronavirus (COVID-19, SARS-CoV-2) cases data.

cxxwrap-juliacon2020

Tutorial files for the JuliaCon 2020 CxxWrap workshop

dashboards

Jupyter Dashboards Layout Extension

dask-tutorial

Dask tutorial

data-science-ipython-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.

data_sci_guide

A community-sourced data science repo.

datasets

Datasets used in Plotly examples and documentation

diamol

Code samples for the book "Learn Docker in a Month of Lunches"

dlbook_notation

LaTeX files for the Deep Learning book notation

doc2vec-api

document embedding and machine learning script for beginners

docker-sakai

Docker files for running Sakai.

docker-sakai-builder

Some docker commands to get Sakai build and running 100% in docker

doconce

Lightweight markup language - document once, include anywhere