## JPSLInstructor
(aka Jupyter Physical Science Lab Instructor package)
This package installs all of the packages in the
[Jupyter Physical Science lab suite](https://github.com/JupyterPhysSciLab),
their dependencies and the [Algebra_with_SymPy](https://github.com/gutow/Algebra_with_Sympy)
package into the current python environment. The packages can then be used
in a Jupyter notebook to construct assignments. See the overall
documentation and the descriptions of each package for more details.
If you have an example notebook to upload you can try it on binder:
[](https://mybinder.org/v2/gh/JupyterPhysSciLab/JPSLInstructor.git/HEAD?urlpath=/tree/)
#### Installation
1. Install python3+ on your system, if you have not. See
[python.org](https://python.org) for instructions.
1. Install a tool for managing and using virtual environments. This
allows you to have multiple independent sets (virtual environments)
of python packages installed. I recommend you use this so
that you can have both an "instructor" and "student" environment for
testing. I personally like using
[pipenv](https://pipenv.pypa.io/en/latest/). You can install it using
the command `$ pip3 --user install pipenv`. See the website for more
information.
1. Once you have the correct python and a virtual environment system,
create a directory for your "Instructor" environment. Navigate into
the directory. Then:
* Create the empty virtual environment `$ pipenv shell`. This will
create the environment, activate it and leave you inside it.
* Still within the environment use pip to install this package
`$ pip install JPSLInstructor`. This will take a while to run. There
are a lot of packages to download and install.
1. To exit the virtual environment just type "exit" on the command line
`$ exit`.
1. To enter the virtual environment: first make sure you are in the proper
directory; then issue the command `$ pipenv shell`.
1. To update you must be in the virtual environment. Use
`$ pip install -U JPSLInstructor`.
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