Kursplan
Day 1
Module 1: Introduction to Python for Unix Users
Topics
Why Python for scripting and automation
• advantages of Python for scripting
• using Python in system administration and DevOps
Bash vs Python comparison
• variables
• control flow (if, loops)
• working with files
• executing system commands
Structure of a Python script
• running Python scripts
• using the interpreter
• command line arguments
• introduction to argparse
Exercises
Exercise 1 – Converting a simple Bash script to Python
Bash script that:
• lists files from a directory
• filters by extension
• displays statistics
Participants will rewrite the script in Python.
Exercise 2 – Python script with CLI arguments
Creating a Python script that:
• receives parameters from the command line
• processes files
• displays structured results
Module 2: File and Directory Manipulation
Topics
Working with the filesystem in Python
• reading and writing files
• navigating directories
• handling paths
Using the pathlib module
• path management
• file operations
Replacing Unix utilities
• grep
• find
• sed
• awk
with Python implementations
Exercises
Exercise 1 – Filesystem scanning
Python script that:
• searches for large files
• identifies old files
• generates a report
Exercise 2 – Processing configuration files
Python script that:
• reads text files
• extracts relevant information
• generates statistics
Day 2
Module 3: Log Processing and Text Manipulation
Topics
Working with text in Python
• string operations
• filtering and transforming data
Regular expressions (regex)
• pattern identification
• log parsing
Replacing shell pipelines
Example:
grep | awk | sed | sort
implemented in Python
Exercises
Exercise 1 – Log file analysis
Python script that:
• reads system logs
• identifies errors
• calculates error frequency
Exercise 2 – Converting a shell pipeline to Python
Complex Bash pipeline transformed into a Python script
Module 4: Automating System Commands
Topics
Executing shell commands from Python
• subprocess module
• capturing output
• error handling
Automating administrative tasks
• running system commands
• integration with cron jobs
• scripting for repetitive tasks
Process management
• monitoring processes
• simple parallel execution
Exercises
Exercise 1 – Python script that runs system commands
Script that:
• runs Unix commands
• captures output
• generates reports
Exercise 2 – Service monitoring
Python script that:
• checks the status of a service
• collects information
• displays results
Day 3
Module 5: Advanced Automation and Interaction with External Services
Topics
Working with APIs in Python
• introduction to HTTP requests
• authentication and tokens
• processing JSON responses
Python for DevOps automation
• collecting data from external services
• integration with existing tools
• infrastructure scripting
Exercises
Exercise 1 – Python script consuming an API
Script that:
• collects data from an API
• processes the information
• generates a report
Exercise 2 – Automating data collection
Python script that:
• collects system information
• generates a JSON or CSV report
Module 6: Building a CLI Tool for Administration
Topics
Structuring a Python project
• code organisation
• function reuse
• modules and packages
Creating a CLI tool
• command line arguments
• structured output
• error handling
Final exercise
Participants will build a CLI automation tool in Python that:
• analyses log files
• identifies errors
• generates statistics
• can be run from the command line
Course Outcomes
By the end of the course participants will be able to:
• transform shell scripts into Python scripts
• use Python for automating system tasks
• process logs and complex data
• build CLI tools for Unix system administration
Krav
Prerequisites
- Basic knowledge of Unix/Linux operating systems
- Familiarity with command line usage (shell/Bash)
- Experience writing simple shell scripts (e.g. loops, conditions, file operations)
- General understanding of system administration concepts is beneficial
- No prior Python experience required
Target Audience
- System administrators working in Unix/Linux environments
- DevOps engineers looking to improve automation capabilities
- Engineers and technical specialists using shell scripting for daily tasks
- IT professionals interested in transitioning from Bash to Python
- Developers working in Unix environments who want to automate workflows more efficiently
Vittnesmål (2)
Praktiska övningar relaterade till innehållet hjälper verkligen till att förstå mer om varje ämne. Dessutom är det bra och hjälpsamt att börja lektionen med en föreläsning och sedan fortsätta med praktiska övningar, vilket gör det lättare att relatera till den tidigare presenterade föreläsningen.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Kurs - Introduction to Data Science and AI using Python
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Exempel/övningar perfekt anpassade till vår domän
Luc - CS Group
Kurs - Scaling Data Analysis with Python and Dask
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