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[2022.11] Data Umbrella Newsletter: November
We organize data science events for the community.
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.
Polly Mitchell-Guthrie, a community member and a long-time proponent of diversity, was interviewed by the magazine Diversity in Action on her career in data analytics. She shared Data Umbrella as a community which supports underrepresented persons. The full article is available on pages 56 and 57. We have featured this on our Press Page on the DU Blog.
Milestone Achieved ! (Data Umbrella YouTube)
Our YouTube channel hit 2000 subscribers in the month of October 2022. Shoutout to the Data Umbrella team, our speakers, sponsors and community contributors for all their contributions this past year!
Call for Volunteers: Data Events Board
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 wishlist. 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: firstname.lastname@example.org
Open Source Literacy (history, challenges, education or other related topics)
How to Debug in Python
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 (email@example.com), and we will feature it on our Impact Page.
Data Umbrella participated in Hacktoberfest for the first time this year! A special thanks to all in the community who contributed to our timestamps and event board.
Rust: A language empowering everyone to build reliable and efficient software.
An introduction to Rust Programming for complete beginners, we will go over what is Rust, how to install it, how to use it online, basic structure of a program, core concepts of Rust and a little CLI program.
ArviZ is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage, sample diagnostics, model checking, and comparison. In this webinar we will go over both social and technical aspects we have to face when we contribute to ArviZ and to open source in general. I will go over all kinds of challenges: from finding an issue to work on and understanding how to work on it to submitting the pull request and addressing the feedback received. Challenges both I have faced and continue to face. The talk will be focused on ArviZ, but it should also be useful to anyone interested in contributing to open source.
Conference: NODES 2022 (Free & Online)
NODES 2022: Nov 16-17, 2022
We are pleased to be a Community Partner for NODES 2022, Neo4j's Online Developer Summit.
NODES 2022 is a free, 24-hour, multi-track, virtual conference loaded with highly technical presentations, delivered by Neo4j experts and users from around the world on graph-related topics. Join us to get up to date on how graphs are changing technology.
Virtual signup (FREE): Register for NODES 2022
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
Plotly is a versatile python graphing library which lets us make interactive graphs. In this talk, we will interpret open source sprint data presented using a Python Plotly Dashboard. We will learn how the dashboard presentation permits extended perspectives of data with multiple dimensions.
And…. check out our Plotly Playlist: Data Visualization with Python Plotly
Learn how you can get started with contributing to fastai projects. Contributing to fastai is an excellent way to sharpen your python, engineering and data science skills.
This presentation will introduce how to analyze three dimensional stacked and volumetric images in Python, mainly using scikit-image. Here we will study how to preprocess data using filtering, binarization and segmentation techniques. Also, we will inspect, count and measure attributes of objects and regions of interest in the data. We will finish the tutorial presenting tools to visualize 3D data.
scikit-image is a well-established Python library boasting a wide collection of image processing algorithms. We show that it is well-suited for bioimage data analysis workflows by presenting a biological application from the literature. The dataset is a time sequence of microscopy images of human cells. The presentation is intended as a step-by-step, follow-along tutorial.
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 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.
YouTube (*past recorded talks*)