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When Data is Your Canvas

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Manage episode 270906290 series 2576745
Content provided by Dikayo Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dikayo Data or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of #DataFemme, Emmanuelle Gouillart, Developer at Plotly, discusses the Python community, how image processing and data visualization work in tandem and best practices for contributing to open source.

This episode is kindly sponsored by Plotly.

To learn more about Plotly and using their framework Dash for building web applications with R and Python, visit: https://dash.plotly.com/

Any questions? Plotly would like to answer! Contact them here: https://plotly.com/contact-us

If you enjoyed this episode, support the creation of future content by becoming a patron of #DataFemme on Patreon: www.patreon.com/datafemme

  continue reading

54 episodes

Artwork
iconShare
 
Manage episode 270906290 series 2576745
Content provided by Dikayo Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dikayo Data or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of #DataFemme, Emmanuelle Gouillart, Developer at Plotly, discusses the Python community, how image processing and data visualization work in tandem and best practices for contributing to open source.

This episode is kindly sponsored by Plotly.

To learn more about Plotly and using their framework Dash for building web applications with R and Python, visit: https://dash.plotly.com/

Any questions? Plotly would like to answer! Contact them here: https://plotly.com/contact-us

If you enjoyed this episode, support the creation of future content by becoming a patron of #DataFemme on Patreon: www.patreon.com/datafemme

  continue reading

54 episodes

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