29:49

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

01:17:47

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

44:21

[109] Using JupyterLab Extensions (Roy Hyunjin Han)

01:38:09

[108] Intro to Git (Sam Miyamoto)

36:08

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

01:04:34

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

01:05:28

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

54:40

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

01:06:51

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

50:31

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

01:13:36

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

01:22:59

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

58:15

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

01:00:43

[98] Intro to Bash Scripting (Rebecca BurWei)

01:15:33

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

01:13:28

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

45:38

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

17:15

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

01:02:26

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

52:41

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

50:02

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

50:35

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

59:24

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

10:36

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

26:49

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

54:46

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

52:24

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

44:17

Community chat: with Yanina Bellini Saibene

47:18

Community chat: with Mariatta Wijaya

01:22:33

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

01:05:13

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

29:03

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

50:10

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

20:00

Community chat: with Beryl Kanali

40:40

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

57:39

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

01:00:30

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

40:04

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

01:05:20

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

53:10

[81] An Introduction to ImageIO (Sebastian Wallkötter)

01:01:15

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

01:01:35

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

39:09

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

20:42

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

01:07:35

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

15:49

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

01:07:36

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

01:06:20

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

01:05:42

[73] Google Summer of Code (GSOC) Experience

39:20

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

01:07:12

[71] Land Your First Data Science Job

01:02:15

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

02:19:36

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

45:09

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

01:00:52

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

46:24

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

55:13

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

55:18

[64] How to Build Your Personal Brand with Your Customer in Mind (Liliana Petrova)

59:43

[63] Software Testing in Open Source and Data Science (Eric Ma)

01:02:57

[62] Software Engineering for Probabilistic Programming (Mitzi Morris)