Automatically Load Code in Jupyter Notebooks Using the IPython Startup Folder

If you frequently work with Jupyter notebooks, you’ve probably found yourself writing the same import statements, utility functions, or configuration settings at the beginning of each notebook. This repetitive task can be eliminated by taking advantage of IPython’s startup folder functionality, which allows you to automatically load code every time you start a new notebook.

In this guide, we’ll explore how to set up and use the IPython startup folder in both Windows and Unix-based systems (macOS/Linux).

March 11, 2023

Interactive Data Tables in Python Using itables

When working with data in Python, displaying your dataframes in an interactive, user-friendly way can dramatically improve your analysis workflow. While pandas provides great functionality for data manipulation, its default display options are static and limited. This is where the itables library shines - it transforms your pandas DataFrames into fully interactive tables with sorting, filtering, and searching capabilities.

In this guide, we’ll explore how to use itables in Python, from basic installation to advanced customization.