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Moved to settings.
To create a normal user account, just go to Sign Up and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go.
To create a superuser account, use this command:
$ python manage.py createsuperuser
For convenience, you can keep your normal user logged in on Chrome and your superuser logged in on Firefox (or similar), so that you can see how the site behaves for both kinds of users.
Running type checks with mypy:
$ mypy physhik
To run the tests, check your test coverage, and generate an HTML coverage report:
$ coverage run -m pytest $ coverage html $ open htmlcov/index.html
$ pytest
Moved to Live reloading and SASS compilation.
The following details how to deploy this application.
See detailed cookiecutter-django Docker documentation.
The generated CSS is set up with automatic Bootstrap recompilation with variables of your choice. Bootstrap v5 is installed using npm and customised by tweaking your variables in static/sass/custom_bootstrap_vars.
You can find a list of available variables in the bootstrap source, or get explanations on them in the Bootstrap docs.
Bootstrap's javascript as well as its dependencies are concatenated into a single file: static/js/vendors.js.
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,…
David Mackay's book review and problem solvings and own python codes, mathematica files
Forked from imfing/keras-flask-deploy-webapp
😺 Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Python
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