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304 followers · 6 following

Achievements

Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: QuickdrawAchievement: Starstruckx2Achievement: Mars 2020 ContributorAchievement: Pull Sharkx4Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: QuickdrawAchievement: Starstruckx2Achievement: Mars 2020 ContributorAchievement: Pull Sharkx4Achievement: Arctic Code Vault Contributor

Organizations

@azavea @Element84 @intake @geopandas @conda-forge @dask @pangeo-data @pyviz @holoviz @stac-utils @ProjectPythia

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jsignell/README.md

Bio

I have worked in the scientific Python ecosystem as an environmental researcher, an open source contributor, and a web developer. I am passionate about finding creative ways to enhance understanding of the physical world. My past experience includes maintaining Dask (open source distributed computing tool) and HoloViz (open source high-level visualization tool) and contributing to product management and engineering on data science platform product teams. In my current role at Element 84 (formerly Azavea), I work on the Civic Applications team maintaining django/react web applications and on the Geospatial Research and Technology team developing open source best practices for scientists.

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  1. dask/dask dask/dask Public

    Parallel computing with task scheduling

    Python 12.6k 1.7k

  2. holoviz/hvplot holoviz/hvplot Public

    A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

    Python 1.1k 109

  3. inside-dask inside-dask Public

    Material for Inside Dask talk | PyData DC | August 2021

    Jupyter Notebook 12 2

  4. heat_and_trees heat_and_trees Public

    Using HoloViz to explore relationship between surface temperature and tree density

    Jupyter Notebook 27 10

  5. intro-to-netcdf intro-to-netcdf Public

    An introduction to netcdf files in R, python, and matlab

    Jupyter Notebook 29 8

  6. pydata_dc_2018 pydata_dc_2018 Public

    Materials for PyViz talk at PyDataDC 2018

    Jupyter Notebook 25 7