Pinned Repositories
AlgoTrading
Financial Machine Learning and Algorithmic Trading with Python
cryptobot
open source software that helps you build trading bots that run on any exchange or blockchain
dask-sql
Distributed SQL Engine in Python using Dask
dataprep
DataPrep — The easiest way to prepare data in Python
dremio-oss
Dremio - the missing link in modern data
elasticsearch_loader
A tool for batch loading data files (json, parquet, csv, tsv) into ElasticSearch
flyte
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
mastering-python-for-finance
Sources codes for: Mastering Python for Finance, Second Edition
ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Python-Algorithmic-Trading-Cookbook
Python Algorithmic Trading Cookbook,
kbthai's Repositories
kbthai/AlgoTrading
Financial Machine Learning and Algorithmic Trading with Python
kbthai/cryptobot
open source software that helps you build trading bots that run on any exchange or blockchain
kbthai/dask-sql
Distributed SQL Engine in Python using Dask
kbthai/dataprep
DataPrep — The easiest way to prepare data in Python
kbthai/dremio-oss
Dremio - the missing link in modern data
kbthai/elasticsearch_loader
A tool for batch loading data files (json, parquet, csv, tsv) into ElasticSearch
kbthai/mastering-python-for-finance
Sources codes for: Mastering Python for Finance, Second Edition
kbthai/Python-Algorithmic-Trading-Cookbook
Python Algorithmic Trading Cookbook,
kbthai/sql-lessons
💾 📚 📂 Sample Querying , Data and Training Materials with Transact-SQL
kbthai/sqlalchemy
SQLAlchemy
kbthai/flyte
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
kbthai/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️