In our case, Jupyter is a running Python instance (namely the IPython kernel), with its own namespace and memory allotment. A notebook can connect to only one kernel at a time, but can switch ...

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.

IPython, a Python-centric tool for data visualization and analysis, has been split into several packages as part of the transition to the language-agnostic Jupyter project. IPython 4.0, unveiled ...

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 ...

Another option is to keep using the Python kernel, but compile and run your C code via the operating system. This will often even work in cloud environments that don’t support the C kernel.

Jupyter is not magic. It facilitates rapidly building little Python applications that have a very particular web interface. There are probably projects it isn’t suitable for.

Data scientists can now get code completions powered by Kite’s deep learning, which is trained on over 25 million open-source Python files, as they type in Jupyter notebooks. Using AI to help ...

"To try it out, make sure you have ipykernel v6+ installed in your selected kernel," said Luciana de Melo e Abud, program manager for the Python tool, in an Oct. 7 blog post. "Then set a breakpoint, ...

Using Python's os.walk function to walk through a tree of files and directories. I'm a web guy; I put together my first site in early 1993. And so, when I started to do Python training, I assumed that ...

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 ...