Quick tip: retrieving raw, unprocessed files stored in Github

 The domain raw.githubusercontent.com serves raw, unprocessed files stored in Github repositories - think of it as GitHub's "direct file download" backend. Tools like curl, wget or Python scripts can fetch files directly using a specific url composed of the user name, repo, branch, folder and filename

curl -O https://raw.githubusercontent.com/[user]/[repo]/[branch]/[folder]/[filename] 

example: curl -O https://raw.githubusercontent.com/jorisp/tradingnotebooks/master/data/DJI.csv

You can also read these raw files form GitHub using pandas.read_csv

Quick tip: checking your Github Copilot settings

 Open https://github.com/settings/copilot/features

References:

• Best practices for using GitHub Copilot
• Asking GitHub Copilot questions in your IDE

Interactive Pandas dataframes with ITables 2.0

 ITables is a Python package available on Github (maintained by Marc Wouts) which changes how Pandas and Polars dataframes are rendered in Python notebooks and other Python applications. It works out of the box without any dependencies in Jupyter, Dash, Streamlit and Marimo. 

For more info see:

• Make your Pandas or Polars DataFrames Interactive with ITables 2.0
• ITables Quick Start

Enable and disable Data Wranger in VS Code for Pandas DataFrame and Series

To disable default rendering of Pandas DataFrames in VS Code Jupyter Notebook with Data Wrangler (after installing the extension) - follow these steps:

1. Open Command Palette : Preferences: Open Settings (UI)
2. Search for: Data Wrangler
3. Uncheck the Data Wrangler>Output Renderer: Enabled Types for Pandas Dataframe and Series to disable the rendering and check them again when needed

Related links:

• Getting started with Data Wrangler in VS Code

Datawrapper: enrich your stories with charts, maps and tables

 Datawrapper is designed to make professional-quality charts, maps and tables - even for those without coding or design skills. Also check out their blog which has excellent posts such as Fix my chart - turning donuts into bars (Part of the Data Visualization Do's & Don'ts). 

"Statistiek Vlaanderen" (government agency in Flanders) makes extensive use of Datawrapper - it has used it to create more than 2000 Datawrapper charts and maps on more than 300 webpages. (Statistics Flanders: "We want to reach everyone")

Source: International migration (July 2025) - Statistics Flanders