Computational Environment Example 1

Orienting you to the GitHub repository

In this GitHub repository there is one branch (master), a script test_script.py and an environment.yml file.

You can see them all at https://github.com/alan-turing-institute/CompEnv-Ex1

Instructions

1. Click the link below to open a Binder for the master branch. It will take you to a Jupyter Lab environment. We recommend you right click and select "Open Link in a New Tab" in order to keep these instructions visible.

• 👉 Binder for master: https://mybinder.org/v2/gh/alan-turing-institute/CompEnv-Ex1/master?urlpath=lab

JupyterLab is an IDE (integrated development environment) providing access to features such as:

• Jupyter Notebooks
• IPython Consoles
• a terminal
• a text editor

2. At the bottom of the screen, click the "Terminal" button (under "Other").

3. In the terminal which opens, run the command python test_script.py and examine the output.

   You can examine the code in test_script.py by double clicking on it in the panel on the left.

4. In the same terminal, now run conda activate kernel then re-run python test_script.py and examine the output.

5. If you want to get the same output as from step 3, run conda deactivate and then repeat step 3.

Questions

• What's different between these two outputs?
• What is happening to cause this difference?
• How do these differences arise?