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Database connectivity API standard and libraries for Apache Arrow
Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
Portfolio analytics for quants, written in Python
A data visualization curriculum of interactive notebooks.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A game theoretic approach to explain the output of any machine learning model.
In this notebook, I used Python to analyze bank customer churn.
A concise grammar of interactive graphics, built on Vega.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Download market data from Yahoo! Finance's API
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Zipline, a Pythonic Algorithmic Trading Library
Fast Python Collaborative Filtering for Implicit Feedback Datasets
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Streamlit — A faster way to build and share data apps.
A presenter console with multi-monitor support for PDF files.
📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
Best Practices on Recommendation Systems
The integrated assessment and energy systems model MESSAGEix
The ix modeling platform for integrated and cross-cutting scenario analysis