diff --git a/docs/talks/assets/06032025 - CCDS/DataScienceTemplate-6March25.pdf b/docs/talks/assets/06032025 - CCDS/DataScienceTemplate-6March25.pdf new file mode 100644 index 0000000..f73877d Binary files /dev/null and b/docs/talks/assets/06032025 - CCDS/DataScienceTemplate-6March25.pdf differ diff --git a/docs/talks/index.md b/docs/talks/index.md index e60bef4..868ad7e 100644 --- a/docs/talks/index.md +++ b/docs/talks/index.md @@ -23,10 +23,6 @@ or, for upcoming talks, _Titles are placeholder._ -- 2025-03-06 | "Data Science Template: Go from zero to hero with a fully initialised template research project (with sensible defaults) in a minute" by Franka Jesse [(:material-github: Discussion)](https://github.com/UU-IMAU/python-for-lunch/issues/13) - - - **Abstract:** We've all been there – eager to start a new research project, only to end up with a chaotic mess of notebooks like 'final_data_analysis_REALLY_FINAL_version6.ipynb' and data files scattered across our desktop like digital confetti. Fear not! In this lunch talk, I will introduce the "Cookie Cutter Data Science" template (CCDS for short) from Data Driven. It's a quick and painless way to set up your research project in under a minute—with a logical folder structure, sensible defaults, and zero regrets. We will also cover how to integrate it with Git for better version control (and fewer "final" versions). Whether you're handling climate model outputs, wrestling with observational data, or training a machine learning model, this template will save you from future headaches - and impress your collaborators with your beautifully organized project. - - 2025-03-20 | "Python tidbits: Small Python packages and tips you wish you knew about yesterday" by Nick Hodgskin [(:material-github: Discussion)](https://github.com/UU-IMAU/python-for-lunch/issues/21) - 2025-04-03 | "Choosing beautiful (and accessible) colour maps" by Miriam Sterl [(:material-github: Discussion)](https://github.com/UU-IMAU/python-for-lunch/issues/12) - 2025-04-17 TBD @@ -44,9 +40,15 @@ _Titles are placeholder._ ## Prior -- 2025-02-25 | "Git and GitHub: A time machine for every research project" by Nick Hodgskin +- **2025-02-25 | "Git and GitHub: A time machine for every research project" by Nick Hodgskin** - [:octicons-video-16: Recording](https://youtu.be/QfojYVT01t0), [:material-presentation-play: Slideshow](./assets/20022025%20-%20Git%20and%20GitHub/index.html), [:material-github: Discussion](https://github.com/UU-IMAU/python-for-lunch/issues/11) - **Abstract:** Managing versions of a document is easy - just copy, paste, rename (often appending `_old` or `_draft1` to the end), and you're good to go. But what happens when your research involves dozens of inter-related scripts, datasets, and perhaps even collaborators? Suddenly the "copy paste" version management becomes a nightmare. How can we keep track of changes, prevent lost work, and confidently explore new ideas without fear of breaking everything? Enter Git, a version control system that acts like a time machine for your research. In this session, we’ll demystify Git, explaining its core concepts - commits, branches, and repositories - and show how it can be used by independent researchers as well as large teams. We’ll also introduce GitHub - a powerful platform for sharing, reviewing, and archiving research code. The talk is based off the highly polished "Version Control with Git" course from Software Carpentry. +- **2025-03-06 | "Data Science Template: Go from zero to hero with a fully initialised template research project (with sensible defaults) in a minute" by Franka Jesse** + + - [:octicons-video-16: Recording](https://youtu.be/Og9Wrppp_yg), [:material-presentation-play: Slideshow](./assets/06032025%20-%20CCDS/DataScienceTemplate-6March25.pdf), [:material-file-document: CCDS Documentation](https://cookiecutter-data-science.drivendata.org/), [:material-github: Discussion](https://github.com/UU-IMAU/python-for-lunch/issues/13) + + - **Abstract:** We've all been there – eager to start a new research project, only to end up with a chaotic mess of notebooks like 'final_data_analysis_REALLY_FINAL_version6.ipynb' and data files scattered across our desktop like digital confetti. Fear not! In this lunch talk, I will introduce the "Cookie Cutter Data Science" template (CCDS for short) from Data Driven. It's a quick and painless way to set up your research project in under a minute—with a logical folder structure, sensible defaults, and zero regrets. We will also cover how to integrate it with Git for better version control (and fewer "final" versions). Whether you're handling climate model outputs, wrestling with observational data, or training a machine learning model, this template will save you from future headaches - and impress your collaborators with your beautifully organized project. + - [Archived talks](https://github.com/UU-IMAU/Python-for-lunch-Notebooks/blob/main/archived)