ABIDES: Agent-Based Interactive Discrete Event Simulation

Sample BitMEX Market Making Bot

Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.

An open access book on scientific visualization using python and matplotlib

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

Matplotlib tutorial for beginner

An example on how Correlation Matrix can be displayed and clustered

Companion webpage to the book "Mathematics For Machine Learning"

Open World Holidays Framework

🤖⚡ 50 scikit-learn tips

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Notes taken from Google Machine Learning Course provided to public for practice & correction.

A Time Series Library for Apache Spark

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 filte…

Colored terminal output for Python's logging module

What the f*ck Python? 😱

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 ;)

⚡ A Fast, Extensible Progress Bar for Python and CLI

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

JupyterLab computational environment.

📦 A Human's Ultimate Guide to setup.py.

Python Data Science Handbook: full text in Jupyter Notebooks

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Introduction to Deep Neural Networks with Keras and Tensorflow

Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

High performance datastore for time series and tick data