[2022.12] Data Umbrella Newsletter: December

We organize data science events for the community.

Nov 30, 2022

Data Umbrella is a non-profit global community for underrepresented persons in data science. We organize online data science events for the community. All levels are welcome. Our Code of Conduct applies to all of our spaces.

Announcements

Outreachy

Outreachy has announced their new interns for the December 2022 cohort. 1378 initial applications were accepted, 481 applicants submitted final contributions & 64 interns were accepted. You can view accepted interns for the December 2022 - March 2023 cohort on the Outreachy alums page. Congratulations to Beryl Kanali, a Data Umbrella team member for being one of the interns!

PLOS Journal Press Mention

“10 simple rules for funding scientific open source software” was recently published in the PLOS Computational Biology Journal by funders at CZI and the Sloan Foundation. Data Umbrella received a mention in there for community building.

Data Umbrella is on dev.to!

DEV (dev.to) is one of the largest online communities of software developers. It is a place where developers and aspiring developers meet to share their knowledge and stories. They don't have paywalls or adverts, but instead make their revenue from sponsors, listings, and the DEV shop. Follow ➡️ Data Umbrella on dev.to.

Call for Volunteers: Data Events Board

Data Umbrella is building an event board. If you have skills in React, JavaScript, Django, CSS / HTML or design work, check out our open issues on GitHub.

Call for Volunteers: Data Umbrella Blog

We are making some updates to the format of our blog home page and there are other items on our wish list. If you have skills in: Jekyll, Ruby, Markdown, checkout our open issues on GitHub.

Call for Volunteers: Video Timestamps

We are looking for assistance in adding video timestamps.

We have instructions on how you can contribute to this project on GitHub. Help us help the community. Pick a video and get started!

Call for Speakers

We are looking for speakers on the following topics. If you or someone you know can speak on these topics, please email us: info@dataumbrella.org

Open Source Literacy (history, challenges, education or other related topics)
How to Debug in Python
Intro to Julia and Julia Machine Learning Packages

Check out Impact

Data Umbrella Impact

Would you like to share an impact that Data Umbrella events and resources have had in your data journey? Send it to us (info@dataumbrella.org), and we will feature it on our Impact Page.

Join our Meetup!

Upcoming Events

Land your First Data Job in Data Science

Dec 6, 2022

In this webinar, we'll cover topics related to job searching, interviewing, and networking just for you. Speakers will answer common questions on how to break into the data field from the perspective of a senior industry professional (Wendy) and a relative career newbie (Stacey). Attendees, no matter their level of data experience, will leave with a plan to discover, prepare for, and land their first career role.

Recent Events

In case you missed our recent events, the videos have been posted. Subscribe to our Data Umbrella YouTube to receive notifications when the videos premiere.

Introduction to Rust Programming

The data science community has greatly benefited from the python ecosystem (scipy, numpy, scikit-learn etc.) which has tools at every step of the data science workflow. Under the hood most of these python libraries use C/C++ which has bindings with python to improve performance. Although this has reduced developmental time, it is not without the reduction in performance as python is not known for its performance.

This is where Rust comes in! It provides performance similar to C/C++ but
better memory use and concurrency. It can be used with python just as C/C++ but with improved speed and safety.

This tutorial will introduce you to Rust. You will learn how to get started with Rust, set up your development environment, of variable definitions, data-types, stacks and heaps. We will also look into how to write CLI programs, type-casting, control flow and functions.

Contributing to ArviZ and Open Source

ArviZ is a Python package for exploratory analysis of Bayesian models. It serves as a backend-agnostic tool for diagnosing and visualizing Bayesian inference.

In this webinar we go over both social and technical aspects we face when we contribute to ArviZ and to open source in general. We cover: finding an issue to work on, understanding how to work on it, to submitting the pull request and addressing the feedback received, and challenges faced. The talk will be focused on ArviZ, but it should also be useful to anyone interested in contributing to open source

Community Corner

Conference: PyData Global (Online & Pay-what-you-can)

PyData Global is December 1-3, 2022. The schedule is now available and we have something for everyone!

Keynotes include: Thomas Dohmke, Quincy Larson, Ada Nduka Oyom, Hadley Wickham, DJ Patil, Pia Mancini, and Gabriela De Queiroz.

Plus… lightning talks, expert briefings, socials, and more! There is something for everyone to enjoy! Remember this event is pay what you can, we want to see everyone there!

pandas DataFrame output for scikit-learn transformers (some examples)

Pandas DataFrame output is now available for all sklearn transformers (in dev)! This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names!

Featured Resources

Video Playlists

Data Umbrella Resources

Visit our blog site: blog.dataumbrella.org, and see articles written by our community members on their experience in recent sprints.
We have a Job Board. You can: post jobs (for free), search jobs, subscribe to a weekly update to see postings.
Our Data Umbrella YouTube is growing! Subscribe to our channel to receive notifications of when our event videos are posted.

Accessibility Corner

Accessibility Update: Closed Captioning

Our webinars have closed captioning available! This feature makes our live events more accessible to those with hearing needs and for folks in general who like to see the transcript live during presentation to fully process information.