ipytoolbox 0.2.0

A collection of IPython magic commands and other utilities

ipytoolbox

A collection of IPython magic commands and other utilities.

Features

%autocuda

Automatically select the local CUDA device(s) with most free memory.

%animate

Automatically capture plt.plot(); plt.show() calls and display them as an animation once the cell has finished executing.

Example notebook

Install

First make sure Python is installed, then run:

pip install ipytoolbox

Then you can use it in IPython or Jupyter Notebooks by

%load_ext ipytoolbox

Develop

First clone the repo and set it as working directory. Then install the package in development mode (preferably within its own virtual environment):

pip install -e ".[tests]"

If you have direnv installed, you can run direnv allow to automatically create and activate a Python virtual environment when you enter the directory.

Test

pytest

Lint

pre-commit run --all-files

Or pre-commit install to run automatically on git commit.

Publish

gh release create