Image 1 of 1: ‘JSON data file snippet showing EVA/spacewalk data including EVA ID, country, crew members, vehicle type, date of the spacewalk, duration, and purpose’
JSON data file snippet showing EVA/spacewalk
data including EVA ID, country, crew members, vehicle type, date of the
spacewalk, duration, and purpose
Figure 2
Image 1 of 1: ‘The first few lines of a Python script used as example code for the episode’
Image 1 of 1: ‘Software development lifecycle with Git diagram showing Git commands and flow of data between components of a Git system, including working directory, staging area, local and remote repository’
Software development lifecycle with Git
Figure 2
Image 1 of 1: ‘Screenshot of VS Code with the SOURCE CONTROL interface open in the left hand pane of the window. The interface shows one modified file staged for commit, an empty text input box where a commit meesage can be entered, and a green button labeled 'Commit & Push'’
The Source Control interface to Git in VS
Code
Figure 3
Image 1 of 1: ‘Two developers can use Git in combination with a remote repository, usually accessed via the internet. By pushing and pulling changes to and from the remote repository, they are each able to synchronise their local copy of the project with the changes the other developer has committed.’
Git - distributed version control system, image
from W3Docs (freely available)
Figure 4
Image 1 of 1: ‘Selecting the 'New repository' option from GitHub's dropdown menu labelled '+'’
Creating a new GitHub repository
Figure 5
Image 1 of 1: ‘Setting the name of the repository on GitHub through the 'Repository Name' text field’
Naming the GitHub repository
Figure 6
Image 1 of 1: ‘Completing the creation of the GitHub repository by clicking on the 'Create repository' button’
Complete GitHub repository
creation
Figure 7
Image 1 of 1: ‘Copying the commands to sync the local and remote repositories from the remote repository's home page on GitHub’
Copy the commands to sync the local and
remote repositories
Image 1 of 1: ‘A single system might contain multiple virtual environments, each containing a different version of Python and the set of third-party libraries it needs (dependencies) e.g. NumPy, Pandas or Matplotlib. Each environment contains its own complete copy of the required version of each dependency.’
Diagram to depict different Python environments
containing different packages on the same machine