As someone who often works with Python scripts, Jupyter Notebook is my favorite tool for making notes during lectures and sharing my painstakingly-written code with my programming friends and rivals.

If you're using the terminal, I recommend using IPython, as it has a lot of features to make interactive use easier and it's the basis for using Python in Jupyter.

Take CSV files for example. CSV, of course, stands for "Comma Separated Values", more often than not though, it seems that CSV files use tabs to separate values rather than commas. And let's not even ...

Some months back I developed some pyuno code for converting spreadsheets into CSV files from the command line. Pyuno being the Python interface to the OpenOffice runtime. One of the enhancement ...

Microsoft's separate Jupyter notebooks extension aims to improve support for Python's programming language rivals.

In the regular monthly update to Python tooling for Visual Studio Code, Microsoft announced an improved setup experience for Jupyter notebooks, along with new inlay type hints for the Pylance language ...

Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.

Faster start-up times for the Jupyter Notebook editor and associated server highlight the February update to the wildly popular Python Extension for Visual Studio Code.