Pinned Repositories
arch
ARCH models in Python
arrow
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.
asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
cyberpandas
IP Address dtype and block for pandas
dateutil
Useful extensions to the standard Python datetime features
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
peps
Brainstorming Python features
pywrds
Economists' tools for downloading data from WRDS.
sm2
A statsmodels fork focused on bugfixes and code quality
statsmodels
Statsmodels: statistical modeling and econometrics in Python
jbrockmendel's Repositories
jbrockmendel/pywrds
Economists' tools for downloading data from WRDS.
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
jbrockmendel/dateutil
Useful extensions to the standard Python datetime features
jbrockmendel/sm2
A statsmodels fork focused on bugfixes and code quality
jbrockmendel/statsmodels
Statsmodels: statistical modeling and econometrics in Python
jbrockmendel/arch
ARCH models in Python
jbrockmendel/arrow
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.
jbrockmendel/asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
jbrockmendel/cyberpandas
IP Address dtype and block for pandas
jbrockmendel/peps
Brainstorming Python features
jbrockmendel/cython
The most widely used Python to C compiler
jbrockmendel/dataframe-api
RFC document, tooling and other content related to the dataframe API standard
jbrockmendel/doom
jbrockmendel/fastparquet
python implementation of the parquet columnar file format.
jbrockmendel/fletcher
Pandas ExtensionDType/Array backed by Apache Arrow
jbrockmendel/geoarr
Proof of Concept for storing shapely objects in ndarray[float64]
jbrockmendel/geopandas
Python tools for geographic data
jbrockmendel/matplotlib
matplotlib: plotting with Python
jbrockmendel/modin
Modin: Scale your Pandas workflows by changing a single line of code
jbrockmendel/modin_ea
Proof of concept for ModinExtensionArray
jbrockmendel/monte_sims
Monte Carlo sims
jbrockmendel/numpy
The fundamental package for scientific computing with Python.
jbrockmendel/pandas-feedstock
A conda-smithy repository for pandas.
jbrockmendel/pandas-release
Infrastructure for making a pandas release
jbrockmendel/pandas-wheels
jbrockmendel/pycodestyle
Simple Python style checker in one Python file
jbrockmendel/tpch
jbrockmendel/tzupdate
Set the system timezone based on IP geolocation