Alternatives and similar repositories for pycon2020-azure-functions

Users that are interested in pycon2020-azure-functions are comparing it to the libraries listed below

• tonybaloney / azure-pipelines-python-examples
  Example configurations for Azure Build Pipelines for Python
  ☆40Updated last month
• coiled / talkpython-getting-started-with-dask
  Material for Talk Python Training course on Getting Started with Dask.
  ☆29Updated 2 years ago
• ReviewNB / jupyterlab-gitplus
  JupyterLab extension to create GitHub commits & pull requests
  ☆119Updated last year
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆86Updated 2 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆27Updated 3 years ago
• AllenDowney / Portfolio
  Portfolio of Allen Downey at Olin College
  ☆20Updated 2 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 2 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆28Updated 5 years ago
• jtpio / a-tour-of-jupyterlab-extensions
  A Tour of JupyterLab Extensions - PyConDE & PyData Berlin 2019
  ☆20Updated 6 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• voila-dashboards / voila-heroku
  Voilà application deployed on Heroku
  ☆66Updated 3 years ago
• Zac-HD / escape-from-automanual-testing
  A three-hour tutorial on property-based testing with https://hypothesis.works
  ☆59Updated last year
• amyoshino / SONYC-Dash-App
  Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.
  ☆38Updated 3 years ago
• maartenbreddels / talk-vaex-pandas-summit-2019
  Slide and notebook used for my talk on vaex at the Pandas summit 2019 @ Lodnon
  ☆11Updated 6 years ago
• holoviz / pyviz_comms
  Bidirectional communication for the HoloViz ecosystem
  ☆34Updated 3 months ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆117Updated 2 years ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 6 years ago
• jupyterlab / pytest-check-links
  pytest plugin that checks URLs
  ☆18Updated last year
• jupyterlab / jupytercon-jupyterlab-tutorial
  JupyterCon 2018 JupyterLab tutorial
  ☆21Updated 7 years ago
• khuyentran1401 / python_snippet
  Python and data science snippets on the command line
  ☆21Updated 4 years ago
• treebeardtech / nbmake-action
  GitHub Action for testing notebooks
  ☆151Updated 4 years ago
• flavianh / dashboards-frameworks-comparison
  ☆77Updated 7 years ago
• executablebooks / quantecon-mini-example
  A short example showing how to write a lecture series using Jupyter Book 2.0.
  ☆37Updated 3 years ago
• ContinuumIO / tranquilizer
  Put your functions to REST
  ☆44Updated last year
• jeremyjordan / flask-vs-fastapi
  An exploration comparing Flask with FastAPI.
  ☆18Updated last year
• dask / dask-stories
  ☆40Updated 2 years ago
• alysivji / talks
  Code, slides, and documentation for the talks I have given.
  ☆113Updated 4 months ago
• dgerlanc / dask-scaling-dataframe
  Python and Dask: Scaling the Dataframe
  ☆40Updated 4 years ago
• plotly / plotlylab
  The Plotly JupyterLab Distribution
  ☆11Updated 9 months ago