Skip to main content

Code supporting the computational instruction for the course STAT 89A: Linear Algebra for Data Science at UC Berkeley

Project description

linalg_for_datasci

Code supporting the computational instruction for the course STAT 89A: Linear Algebra for Data Science at UC Berkeley.

Contributing

code style

If the pre-commit Python package is installed, you can set up pre-commit hooks for automatic code formatting via

pre-commit install

You can also invoke the pre-commit hook manually at any time with

pre-commit run

Automatic code formatting has been adopted for linalg_for_datasci to make it unnecessary for contributors to worry about their code style. As long as the code is valid, the pre-commit hook should take care of how the code should look.

There are also plugins to integrate the black code autoformatter into your favorite code editor. This way you can format code automatically.

If you have already committed files before setting up the pre-commit hook with pre-commit install, you can fix everything up using pre-commit run --all-files. You need to make the fixing commit yourself after that.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for linalg-for-datasci, version 1.2.2
Filename, size File type Python version Upload date Hashes
Filename, size linalg_for_datasci-1.2.2-py3-none-any.whl (61.3 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size linalg_for_datasci-1.2.2.tar.gz (50.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page