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asv

Airspeed Velocity: A simple Python benchmarking tool with web-based reporting

best-readme-template

An awesome README template to jumpstart your projects!

calib_challenge

The comma.ai Calibration Challenge!

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

coviz19

Visualisation dashboard for COVID-19

cpython

The Python programming language

cython_experimentations

Various experimentations with Cython

dask-tutorial

Dask tutorial

data_for_hr

decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

declarative_pipeline_spec

Experimentations with declarative pipeline specification

dotfiles

Default configuration for Le Wagon's students

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

examples

Code examples from the book.

follow-up

Weekly follow-up of Consortium development priorities

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

fromthetransistor

From the Transistor to the Web Browser, a rough outline for a 12 week course

graphql-engine

Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.

kerdos

An algorithmic trading bot implementing a momentum strategy

ml_mess_around

Some statistics and machine learning

notes

Collection of my reading notes

nrfight

numpy-100

100 numpy exercises (with solutions)

openmp-exercises

EEC2101 OpenMP exercises

pdist_aggregation

Experiments on pairwise distances agregations

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

run-with-binder

Experiment plotly offline with mybinder

scikit-learn

scikit-learn: machine learning in Python

scikit-learn_bench

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem