Python is a practical next step when an operations task outgrows a short shell pipeline and needs structured data, reusable logic, or reliable error handling. This hands-on course teaches you to build small Linux automation tools using only Python 3 and its standard library.
You will execute system commands, manage directory trees, transform JSON configuration, and make bounded HTTP checks without third-party packages. The final challenge combines these skills in a local health-check script that records disk usage and web-service status as a machine-readable JSON report.
What You Will Learn
- Use the Python 3 REPL and write scripts that inspect Linux platform information
- Run commands with
subprocess.run, capture and decode output, and handle nonzero exit statuses - Create directories and files, move or copy items with
shutil, and traverse trees withos.walk - Filter files by extension and create a backup before changing configuration data
- Load JSON into a Python dictionary, modify a value, and write readable JSON with
json.dump - Check HTTP status with
urllib.request, set a timeout, and distinguish HTTP errors from connection failures - Build a fault-tolerant health-check script that writes disk and localhost service results to
/tmp/health_report.json
Who This Course Is For
This course is for DevOps learners, system administrators, and Bash users who want to add maintainable Python automation to their toolkit.
Prerequisites: Basic Linux terminal and file-system familiarity; no prior Python programming is required.
Learning environment: A browser-accessible Linux terminal with Python 3, Bash, nano, standard Linux commands, a local HTTP service for connectivity checks, and Python's standard library; no package installation or cloud account is required.
Frequently Asked Questions
Does this course require third-party Python packages such as Requests?
No. Every exercise uses the Python standard library, including subprocess, os, shutil, json, and urllib. The network lab deliberately uses urllib.request instead of Requests.
Is this a general Python programming course?
No. It introduces the Python syntax and control flow needed for focused operations tasks. Classes, packaging, web frameworks, testing frameworks, and broader application development are outside its scope.
Will the file exercises modify important system files?
No. You create a disposable test_env tree in the project directory, then practice renaming, moving, copying, traversing, and filtering its sample files.
What does the final health check actually monitor?
It runs df -h, checks whether http://localhost returns HTTP 200, stores the disk output and an online or offline service status in a dictionary, and writes valid indented JSON to /tmp/health_report.json. It is a local script, not a deployed monitoring platform.
