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Contributing to SciPy

Details

## Link to join the webinar here:

https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/

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Time
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9am PT / 12pm ET / 7pm EAT / 9:30 PM IST

## Speaker

Melissa Weber Mendonça

## Talk Level

Beginner

## Pre-reqs

Beginner knowledge in Python.
Familiarity with SciPy.

## Prep Work

None

## Resources

https://scipy.org

## Event

SciPy is one of the foundational libraries in the PyData/Scientific Python stack, and is a popular tool for scientists, data scientists, industry professionals and students. It builds upon the NumPy array structures and provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. In this talk, we will walk through the steps necessary to contribute to SciPy, including code, documentation, triaging issues and pull request reviews. We will also talk about community and the different ways you can interact with SciPy maintainers.

## Speaker

Melissa is an applied mathematician and former university professor turned software engineer. She works at Quansight, developing open-source software and working on consulting projects. She has been involved with the Brazilian Python community for some time, with a focus on outreach and education. She is a maintainer for NumPy, a contributor to SciPy, and believes in the power of open-source contributions beyond code.

LinkedIn: https://www.linkedin.com/in/axequalsb/
Twitter: https://twitter.com/melissawm
GitHub: https://github.com/melissawm

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