Welcome to the Git, Jupyter, and Python tutorial series

Step 0. Get the repository onto your computer!

To clone any repository, type:

git clone https://github.com/aisichenko/tutorial_series.git

1. Git and Jupyter

• basics of Jupyter
• basics of Git (add, commit, branches, merging)
• using a remote, such as Github.com
• merging issues

2. Python and how to use it

• Why Python
  • modular
  • open source packages
  • many packages for instrument control: lightlab and pymeasure
• Ways to use Python
  • Pycharm or similar IDE
  • Jupyter notebooks --> the case for lab workflow and research life cycle

3. Lab control

• The idea of an instrument class i.e. "driver"
  • creating "instance" of an instrument and accessing its methods and settings
  • having multiple instruments, just define by the connection address
• Example of running a lab control "take data then analyze" experiment
  • in JupyterLab
• Advanced: asynchronous control
  • one-sample testing vs. systems-control