Contents

ii. Start coding!

Right click the “Launch Binder” button below and open it in a new browser tab.

Follow these instructions in JupyterLab to start a kernel, type and run a line of code, save and export your work, and end your session. The content in JupyterLab and the JupyterBook is identical.

Binder

Click “Python 3 (ipykernel)”

Click “Python 3 (ipykernel) under the “Notebook” header to launch a blank notebook. setkernel

Cells are code by default

In the first cell, type:

print(“Your Name Here”)

Run the code

Press shift + enter in JupyterLab or your local Python Anaconda installation to execute the code.

Insert new cells

Click the “plus” button to insert a new cell. It can be found between the “save disk” and “scissors” icons. addcell

Switch between code and text cells

Switch between code and text cells by clicking the dropdown menu. switch

Editing a markdown cell

Double-click a markdown cell to edit it. Press shift + enter to render the text.

Go through the cells on this page and check out Markdown Cheatsheet to explore formatting rules and shortcuts.

toc

Save your work

Click the “disk” icon to save your work. Right-click the tab to give your notebook a name:

rename

  • Click “File” –> “Download” to save your Jupyter Notebook (extension .ipynb) before exiting a Jupyter Lab session.

  • There are many other options, take some time to explore the top menu and buttons.

download

Close and halt

Safely close the notebook by clicking “File” –> “Close and Halt” before closing your browser.

closehalt

Local Python installation

Despite the many cloud-based Python Jupyter Notebook solutions, it is always good to have a local installation on your own computer. Point your web browswer here to install Python Anaconda distribution 3.9 (as of January 2022): https://www.anaconda.com/products/individual

  • Download the installation file for your operating system, open it, and follow the instructions to install.

  • Once installation completes, open the application named “Anaconda Navigator”. It looks like this:

navigator

  • Click the “Launch” button under either Jupyter Notebook or Jupyter Lab.

  • Open the .ipynb notebook you just downloaded from JupyterLab in your local installation and repeat the steps above.

Run these materials on your local computer

Copy these materials for use on your local installation.

  1. Visit: https://github.com/EastBayEv/SSDS-TAML

  2. Click the green “Code” button code

  3. Click “Download ZIP” zip

  4. Extract this folder someplace familiar such as your Desktop.

  5. Open Anaconda Navigator, launch JupyterLab, and navigate your directories to launch these notebooks.

git clone

Git users type: git clone https://github.com/EastBayEv/SSDS-TAML.git

Install external libraries

Install user-defined software libraries to enhance Python’s functionality. In a new notebook cell type !pip install <library name>, e.g.:

  • !pip install pandas

  • !pip install seaborn

Dead kernel?

The notebook kernel will fail from time to time, which is normal. Simply click “Kernel” from the File menu and one of the “Restart” options.

restart

NOTE: about the terminal, you will see it run processes in the background like this:

terminal

If you accidentally delete a Jupyter Notebook …

Check your operating system’s Recycle Bin!