sdia-zz's Stars
crista/EPS-slides
Companion slides for courses based on the Exercises in Programming Style book
bnhansn/sling
Slack clone built with Elixir, Phoenix, and React
arsduo/elm-elixir-starter
A Starter Kit for new projects using Elm, Elixir, and Twitter OAuth.
orangeduck/BuildYourOwnLisp
Learn C and build your own programming language in under 1000 lines of code!
fitnr/convertdate
Utils for converting between date formats and calculating holidays
scurth/athena-plugin-mysql
MySQL server plugin for the athena-oss framework
fragglet/c-algorithms
A library of common data structures and algorithms written in C.
spapas/django-test-rq
redis/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
rlabbe/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
bslatkin/cohorts
Cohort visualizer – A handy tool for browsing cohort datasets
django-extensions/django-extensions
This is a repository for collecting global custom management extensions for the Django Framework.
prompt-toolkit/ptpython
A better Python REPL
gregmuellegger/django-autofixture
Can create auto-generated test data.
jlevy/the-art-of-command-line
Master the command line, in one page
thomas-haslwanter/statsintro
Introduction to Statistics