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@apache @statsmodels @pydata @datapad @twosigma @conda-forge @pandas-dev

Pinned repositories

  1. pandas-dev/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

    Python 8.2k 3.3k

  2. pydata-book

    Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

    Jupyter Notebook 2.5k 3.1k

  3. apache/arrow

    Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple langua…

    Java 761 176

  4. apache/parquet-cpp

    Mirror of Apache Parquet

    C++ 103 52

  5. cloudera/ibis

    Productivity-centric Python data analysis framework for SQL systems and the Hadoop platform. Co-founded by the creator of pandas

    Python 790 102

  6. feather

    Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

    C++ 1.1k 89

429 contributions in 2011

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Contribution activity First pull request First issue First repository Joined GitHub

January 2011

wesm created their first repository!

First repository

statlib
Created an issue in pandas-dev/pandas that received 1 comment

NumPy >= 1.4.0 NaN-handling issues

There are a few potential NaN-casting problems floating around the codebase, e.g.: df1 = pandas.DataFrame({'x':[5]}) df2 = pandas.DataFrame({'x':[1…

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