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 ...

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.

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 ...

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.

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 ...

"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, ...

Kernel selection in Jupyter Notebooks: "In the top right of the Notebook Editor and the Interactive Window, you will now be able to see the current kernel that the notebook is using along with the ...

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 ...