Python, Sympy, Numpy, Matplotlib, and Jupyter

For Math courses using Python, Sympy, Numpy, Matplotlib, and Jupyter, the Calclab systems will have these installed for use during your weekly lab. To start a Jupyter notebook, simply click the Jupyter icon on the bottom panel of your desktop or open a Terminal window and type: 

jupyter notebook

Installing Python/SymPy/NumPy/Matplotlib/Jupyter on your computer

Outside of the lab, you will want to install these on your own computer. Sound expensive? Relax, they're all free! You will need Python 3 from the Anaconda distribution. This is a free Python distribution that includes SymPy, NumPy, Matplotlib, and Jupyter, making the installation quite simple. It can be downloaded for Windows, MacOS, and Linux from https://www.anaconda.com. Be sure to select version 3 for your download.

Alternative installation for Linux

If you're confident with your Linux administration skills, your Linux distribution may already include python3, python3-sympy, and python3-numpy. You may need to manually install jupyter using pip. For example on Linux Mint18 (based on Ubuntu 16.04), all of the packages may be installed with the following commands: 

umask 022
sudo apt install python3 python3-pip \
  python3-setuptools python3-wheel \
  python3-numpy python3-scipy \
  python3-sympy python3-tk python3-matplotlib
sudo python3 -m pip install jupyter

Running the Notebook

The Jupyter notebook can be launched from the command line in a Terminal window (Linux/MacOS) or Command Prompt (Windows): 

jupyter notebook

This will start a browser window and connect to the local jupyter server that you just started.

Example

References


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