Git, GitHub, and Python Scripts
In data analysis, certain steps such as preprocessing and standardization are necessary before exploring data or generating results. Instead of repeating these steps manually for each dataset, Python scripts allow automation of the process.
A Python script is a text file that contains Python code used to execute tasks automatically. Scripts improve efficiency by saving time on repetitive tasks, ensure consistency by applying the same process to every dataset, and enhance scalability by handling larger or more complex analyses. They also make collaboration easier, as scripts can be shared and reused, allowing others to reproduce the same workflow and verify results. This unit teaches you how to write Python scripts, use command-line interfaces (CLIs) to run them with arguments, and use Git and GitHub for version control and collaboration.
Tools
Sessions
Python Scripts
In data analysis, Python scripts help automate standard preprocessing and standardization steps so that new datasets can be processed efficiently without rewriting code each time.
Creating CLIs with Python
Command-Line Interfaces (CLIs) make scripts more powerful and user-friendly, allowing for easier use.