Data Umbrella

[106] RAGged Edge Box: A Personal AI-Powered Document Search System (Pablo Duboue)

[105] Polars for Data Analysis in Python (Kimberly Fessel)

[104] Best Practices for Creating a Data Science Team (Clair Sullivan)

[103] Why Knowledge Graphs Are Hot Right Now (Amy E. Hodler)

[102] Visualizing Energy Transitions (Exploring Climate Change) (Cutler J Cleveland)

[101] Build Your First Database Web App with Tiki Trackers (open source) (Marc Laporte)

[100] Navigating Ethical Data Science: GDPR, EU AI Act & Responsible Practice (Cecilia Dones)

[99] Build with Gemini (an LLM model) (Anna Nerezova)

[98] Intro to Bash Scripting (Rebecca BurWei)

[97] A Briefer History of Open Source (Juan Luis Cano Rodríguez)

[96] Sneak Peek at Penpot 2.0 (the open source design tool) (Pablo Ruiz-Múzquiz)

[95] What is Machine Learning Security Anyway? (Joseph Lucas)

[35] Live Share with Visual Studio Code

[76] Using Gitpod to Contribute to PyMC (Reshama Shaikh)

[29] Jupyter Notebook & Data Analysis with Pandas Tutorial (Sam Bail)

[55c] Django Tutorial Part 3: Building Your First Django Application (Joe Torreggiani)

[90] Intro to OpenRefine for Data Cleaning and Reconciliation (Martin Magdinier)

[92] Intro to Figma for Data and Applications (+ penpot, the open source design tool)

[LC-02] Live Coding: debugging dev environment setup (Events Board)

[72] How You Can Contribute to pandas (Marco Gorelli)

[17] Contributing to Core Python (Carol Willing)

[89b] Debugging in Python: in Jupyter Notebook (Juan Luis Cano Rodríguez)

[08] Doing Data Science with Missing Data (Matt Brems)

[18] Streamlit for Data Science (Thomas Fan)

[47] Build a Dashboard with Python Plotly Dash (Laura Gutierrez Funderburk)

[65] Machine Learning in JavaScript: An Introduction to TensorFlowJS (Shivay Lamba)

[20] Contributing to pandas (Marco Gorelli)

[68] A Bioimage Data Analysis Workflow with scikit-image (Marianne Corvellec)

[05] Intro to Using Data Umbrella Discord Server (Reshama Shaikh)

PyGotham 2023 Keynote: Let's Talk Community (Reshama Shaikh)

[LC-03] Live Coding: Codespaces setup (Events Board)

[42] GitHub Actions Tutorial: Learn to Automate Workflows (Gonzalo Peña-Castellanos)

[113] Contributing to the NumPy Documentation (Mukulika Pahari)

[81] An Introduction to ImageIO (Sebastian Wallkötter)

[67] An Overview of 3D Image Processing Using scikit-image (Alex de Siqueira)

[60] API Tutorial: Building APIs with FastAPI (Abdulazeez Abdulazeez Adeshina)

[15] Data Visualization with Plotly in Python (Emma Gouillart)

[41] Intro to Probabilistic Programming with PyMC (Austin Rochford)

[39] Pipelines in Jupyter with Ploomber (Eduardo Blancas)

[111] Git Graph Walk Through (Randal Schwartz)

[37] Visualize Your Pandas Dataframe with Zero Effort with Lux (Doris Lee)

[19] NumPy: Its History, Governance & How to Contribute (Matti Picus)

[03] Scraping Poshmark with Beautiful Soup in Python (Ty Shaikh)

[55a] Django Part 1: Python for Beginners (Joe Torreggiani)

[46] Geospatial Data and Maps with Python (Christy Heaton)

[69] Tutorial on Intro to Rust Programming (Bruno Rocha)

[12] Building a Conversational Bot for WhatsApp w/Twilio & Python (Mridu Bhatnagar)

[75] What is a Sales Engineer? (Estela Baca)

[93] Model Risk Management Best Practices for Data Science (Alejandro Gomez)

[107] Polars & Narwhals: Translating from pandas (Marco Gorelli)

[80] Solving NLP (Natural Language Processing) Tasks Using Chat GPTs & LLMs (Large Language Models)