/mathphysics

Various notes and solutions on Math and Physics (and Mathematical Physics)

Primary LanguageTeXMIT LicenseMIT

mathphysics

Various notes and solutions on Math and Physics

Contents and Table of Contents

Notes and solutions only

codename directory Keywords Description External links
the geometry of physics problems.tex ./LaTeX_and_pdfs/the geometry of physics problems Frankel, geometry, topology, physics, Notes and solutions for Frankel's The Geometry of Physics

Creating and starting a virtual environment for Python 3

Create a directory for a virtual environment:

mathphysics]$ python3 -m venv ./venv/

Activate it:

mathphysics]$ source ./venv/bin/activate

Deactivate it:

deactivate

Pip install (in the virtual environment) requirements.

Go to Manifolds/ (you'll want the requirements.txt file accessible)

pip install -r requirements.txt

Running pip freeze before and after gives a good idea to the user of what pip packages have been installed.

jupyter notebook in this virtual environment

You'll also want to do a

pip install jupyter notebook

because you may be using a jupyter notebook for your local system; check this with

which jupyter

cf. https://www.codingforentrepreneurs.com/blog/install-jupyter-notebooks-virtualenv

If you want to use the virtual environments "version" or set of pip installed libraries, then from https://stackoverflow.com/questions/37891550/jupyter-notebook-running-kernel-in-different-env

pip install ipykernel

# and
# (but read further below because this might not be the right command for your setup)

python -m ipykernel install --user --name ENVNAME --display-name "Python (whatever you want to call it)"

e.g.

python -m ipykernel install --user --name venv --display-name "Python_venv"

Because I only have a single Python 3 kernel, the above command didn't work, but this did:

python -m ipykernel install --user