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IBC

Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest

ib_async

Python sync/async framework for Interactive Brokers API (replaces ib_insync)

fredapi

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

client-python

The official Python client library for the Polygon REST and WebSocket API.

yfinance

Download market data from Yahoo! Finance's API

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

py_vollib_vectorized

A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.

pypy

PyPy is a very fast and compliant implementation of the Python language.

ib_insync

Live upstream is now at https://github.com/ib-api-reloaded/ib_async; sadly, the orignial creator Ewald has died and now we must continue without his years of experience creating and growing this project. See the 'Discussions' tab for organization planning. Python sync/async framework for Interactive Brokers API

alpaca-py

The Official Python SDK for Alpaca API

Flet-Custom-Controls

A collection of custom controls I made for use by flet devs.

py_vollib

historical-volatility-calculations

flet

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

Sandbox

A Simple Fast Paced FPS made in Python using the Ursina Engine (wip)

ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Benchmark-2D

Benchmark for testing the performance of 2D graphics for libraries Pygame, Arcade, Raylib

hftbacktest

A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

ib_insync

Python sync/async framework for Interactive Brokers API

CPlusPlusThings

C++那些事

Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

airflow_course

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

datascience

Data-science

Collection of useful data science topics along with articles, videos, and code

tensorflow-1-public

speechbrain

A PyTorch-based Speech Toolkit

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning-Coursera

Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning

Course 4 of 4 in Tensor Flow Specialization by DeepLearning.ai