jbrockmendel/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Useful extensions to the standard Python datetime features
Proof of concept for ModinExtensionArray
A statsmodels fork focused on bugfixes and code quality
Brainstorming Python features
Statsmodels: statistical modeling and econometrics in Python
RFC document, tooling and other content related to the dataframe API standard
Modin: Scale your Pandas workflows by changing a single line of code
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
The fundamental package for scientific computing with Python.
python implementation of the parquet columnar file format.
A conda-smithy repository for pandas.
Infrastructure for making a pandas release
Proof of Concept for storing shapely objects in ndarray[float64]
Python tools for geographic data
Pandas ExtensionDType/Array backed by Apache Arrow
IP Address dtype and block for pandas
Monte Carlo sims
ARCH models in Python
Economists' tools for downloading data from WRDS.
Simple Python style checker in one Python file
The most widely used Python to C compiler
matplotlib: plotting with Python
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
Set the system timezone based on IP geolocation