This repository contains all of the source code and Jupyter notebooks for the EuroSciPy 2017 tutorial "Introduction to SymPy".
The statically rendered Jupyter notebooks in this repository can be viewed on NBViewer.
We leverage the Conda package manager for installation of the necessary software on the three most popular platforms. Please install either Anaconda or Miniconda using the instructions provided at the download links.
You will need to download and unzip or clone this repository with Git so that the files are available on your computer. For example:
> wget https://github.com/leosartaj/euroscipy-sympy-tutorial/archive/master.zip > unzip master.zip
or:
> git clone https://github.com/leosartaj/euroscipy-sympy-tutorial.git
At the command line, change into the repository directory:
> cd /path/to/euroscipy-sympy-tutorial
Once you have conda installed, you can make a new environment. We strongly
encourage you to use environment.yml. At the command line, you can create
this environment by executing e.g.:
> conda env create -f environment.yml
When creation is complete you may activate the environment by typing:
> activate sympytutorial
on Windows or using Bash on Linux/Mac:
$ source activate sympytutorial
To check to see if everything is installed correctly type:
(sympytutorial)> python test_installation.py
If there are no errors or warnings you have installed the software correctly.
To exit the environment you type:
(sympytutorial)> deactivate
If you for some reason want to remove the environment you can do so after deactivating by typing:
> conda env remove --name sympytutorial
on windows, and:
$ source deactivate
on Linux/Mac (using bash).
At this point you have everything installed to run the code in the tutorial.
After activating the sympytutorial environment start Jupyter in the notebooks directory:
(sympytutorial)> jupyter notebook
A web interface should open in your web browser (default address http://localhost:8888). Note that Ctrl-C will stop the notebook server.
This tutorial is based on https://github.com/sympy/scipy-2016-tutorial and https://github.com/sympy/sympy-2017-codegen-tutorial