







Free and accessible tutorials on data analysis, manipulation, visualisation and more.
The Definitive Guide to Understand Anything: Turning Code and Knowledge Into Graphs That Teach
You just joined a new team. The codebase is 200,000 lines of code. The original authors left a year ago. The documentation is a wiki last…

bluesky-social/workshop-codespace
Workshops for learning atproto. Works as a Github Codespace or locally.
bluesky-social/workshop-codespace
Workshops for learning atproto. Works as a Github Codespace or locally.
Democratizing Data
Democratizing Data builds a community-driven data ecosystem by identifying how datasets are used and reducing barriers to accessing high-quality public data. The initiative enhances the discoverability, usability, and relevance of data for researchers, policymakers, and stakeholder communities. A suite of tools and strategic partnerships supports this work by connecting users to the data, insights, and networks needed to inform decisions and generate impact.
best coding - Reddit Search!
Doing Data Science on the Shoulders of Giants: The Value of Open Source Software for the Data Science Community
Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.

Dynamic Data Science
<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>

Semble — A social knowledge network for research
Follow your peers' research trails. Surface and discover new connections. Built on ATProto so you own your data.

An Award-winning Data Visualization Designer
Visual Cinnamon | Data Visualization Design & Data Art | Data made insightful, effective & beautiful through data visualization and data art

Syntax Club
Share your syntax. Spread knowledge. A place to share, save, and discover code snippets on the AT Protocol.

A beginner's guide to learning to code with GitHub Codespaces
When you’re new to coding, it’s easy to get stuck completing endless tutorials. You can apply what you’ve learned (and learn even more) through GitHub Codespaces. The best part is you don’t need a powerful computer to get started.

Broadening Access to Data Science Education in High School and Higher Education through Open Source Tools, Infrastructure, and Training
Equitable data science education requires a multifaceted approach, involving high school and higher education, community involvement, and accessible tools. A renewed investment in public digital infrastructure is needed to support these efforts. Nonprofits play a crucial role in supporting these efforts, and increased representation in leadership can enhance their impact. By addressing these disparities, we can ensure a more inclusive future in data science.
Cody - Sourcegraph docs
Documentation for Sourcegraph, the code intelligence platform.
Callysto: Bringing Jupyter and Computational Thinking to the K-12 Curriculum
Cybera and the Pacific Institute for Mathematical Sciences are participating in the new national CanCode program, to develop coding and digital skills from kindergarten to grade 12. With the launch of the Callysto project, we are creating tools and frameworks that help teachers bring computational thinking into their math, science, social sciences, and humanities courses - giving students the analytical skills needed to comprehend the digital world. Leveraging the Jupyter 'All-in-One' Science Platform to put friendly yet powerful compute tools in classroom settings, we are creating showcase modules and workshop training for K-12 teachers to incorporate data and computing into the broad curriculum. At this presentation, you will learn about how Callysto will: Bring computational thinking to classrooms through K-12 teacher training Create opportunities to participate in free workshop training sessions and content creation Help K-12 teachers gain public recognition for participating in this educational training project Note: This presentation is related to our 2017 BCNET presentation on "Bringing The Thunder: Deploying Jupyter Notebooks For Research, Education, And Innovation." View Slidedeck
PREreview joins #LoveData26 celebration with a strong commitment to encouraging open peer review of diverse research outputs, including datasets. 📊 Try out our modular review workflow for datasets here: prereview.org/review-a-dataset Learn more: bit.ly/dataset-workflow @lovedataweek.bsky.social