You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

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. To import NumPy into your Python ...

Microsoft has released a new version of the Python language extension for its Visual Studio Code (VS Code) code editor that breaks out its Jupyter Notebooks functionality into a distinct VS Code ...

The dev team for Python tooling in VS Code handles the the three most popular extensions in the VS Code Marketplace, with the main Python tool boasting a whopping 60.1 million installs, followed by ...

Open Excel, and you will see a new tab in the ribbon at the top that says PyXLL.

Jupyter Notebooks functionality was also improved by the VS Code dev team, which last week announced several enhancements to the open source-based, cross-platform code editor. For one thing, the team ...

In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. "Jupyter notebooks provide a web-based interface to Python, R, Julia and other ...

If you want to work specifically with Pandas, use Pandaral·lel; for parallel distribution of work in Jupyter notebooks, use Ipyparallel. And, for more generic Python workloads, Dispy, Joblib, and ...

In Jupyter everything runs on an online server, so you can send these files to anyone and they’ll be able to use them out-of-the-box. There’s a significant drawback to this, though: Jupyter ...