[112] Exploring a Career in Evaluation & Learning (Liz DiLuzio)

[111] Git Graph Walk Through (Randal Schwartz)

[110c] FAIR Principles (Findable, Interoperable, Accessible, Reusable)

[110b] Zenodo Tutorial: Upload Research Files (documents, slides, datasets & GitHub repos)

[110a] Intro to Zenodo: Advancing Open Science (Esther Plomp)

[109] Using JupyterLab Extensions (Roy Hyunjin Han)

[108] Intro to Git (Sam Miyamoto)

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

[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)

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

[94] Intro to the Linux Operating System (Nicholas Luwazo Kyanda)

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

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

[91] Exploring the Open Source Landscape in Australia (Sae Ra Germaine)

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

[89c] Debugging in Python: in Visual Studio Code (VSC) (Juan Luis Cano Rodríguez)

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

[89a] Debugging in Python (Juan Luis Cano Rodríguez)

[88] An Overview of Information Security (Zoe Braiterman)

Community chat: with Yanina Bellini Saibene

Community chat: with Mariatta Wijaya

[87] Blockchains for Open Source Solutions (Fabian Owuor)

[86] Lessons from COVID-19: Non-random Missing Data and Its Consequences (Mitzi Morris)

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

[85] Machine Learning Visualization Using Yellowbrick (Kavengi Kitonga)

Community chat: with Beryl Kanali

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

[84] Reproducible Publications with Python and Quarto (Thomas Mock)

[LC-01] Live Coding: environment setup (Events Board)

[83] From Vicuna to Human-aligned Evaluation: Comparing Open Source Large Language Models

[82] Intro to FluxML and Machine Learning in Julia (Kyle Daruwalla)

[81] An Introduction to ImageIO (Sebastian Wallkötter)

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

[79] Create a Python Web App Using Shiny (Gordon Shotwell)

[78] MLOps: from Concept to Product (Sandra Yojana Meneses)

Getting Started with Open Source (Beryl Kanali) (PyCon Ghana 2022)

[77] Data-Driven Mathematical Optimization in Pyomo (Jeffrey C Kantor)

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

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

[74] Bayesian Data Analysis with BRMS (Bayesian Regression Models Using Stan) (Mitzi Morris)

[73] Google Summer of Code (GSOC) Experience

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

[71] Land Your First Data Science Job

[70] Contributing to ArviZ and Open Source: Social and Technical Sides (Oriol Abril Pla)

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

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

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

[66] How to Make Open Source Contributions to fastai (Hamel Husain)

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