Hopefully this article has been helpful to you. I have gone over a few basics to consider when you start scripting. In the future I will go more in-depth about the concepts. Be sure to check back to the site as I will be posting scripts for performing various tasks.
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Pick Python—it's the easiest scripting language to learn and the most useful for IT work. Install Python 3, open a text editor, and write your first script: a simple file that prints 'Hello World' and run it with python script.py. That's it. Once you've run your first script, move on to reading files, automating file operations, and working with APIs. Don't spend weeks on tutorials—learn by doing. Write a script that solves a real problem you have today, even if it's just renaming 100 files. You'll learn more from one real script than from 10 hours of video tutorials.
Use try/except blocks but keep them specific—catch the exact error you expect, not generic exceptions. For example, use except FileNotFoundError: instead of except Exception:. Always log errors with context: print what failed, what you were trying to do, and the actual error message. Add a timestamp. Bad error handling hides problems; good error handling tells you exactly what broke and where. For production scripts, write errors to a log file instead of just printing them—you need a record when things fail at 2 AM and you're not watching.
Use bash for simple file operations and command chaining (moving files, running programs in sequence). Use Python when you need logic, error handling, or API calls. If your script has more than 20 lines of bash or needs if/else logic beyond basic file checks, switch to Python. Bash is great for quick automation that just runs commands. Python is better for anything that needs to make decisions, handle errors gracefully, or work with data. Most IT automation ends up needing Python eventually, so starting there saves you from rewriting bash scripts later.
Three things: error handling, logging, and testing. Wrap operations in try/except blocks, log everything with timestamps, and test the script manually a few times before scheduling it. For critical scripts, add email alerts when errors occur—you can't fix what you don't know about. Test edge cases: what happens if the file doesn't exist? If the API is down? If you run it twice at the same time? A reliable script assumes everything will fail eventually and handles it gracefully instead of crashing silently.
Look for tasks you do daily that involve the same steps every time. Common first scripts: batch renaming files, backing up directories, pulling data from an API and saving it to Excel, sending automated email reports, or monitoring a folder for new files. Pick something you do at least once a week that takes 5+ minutes. Even if your script takes 2 hours to write, you'll save that time back within a month. The best first script is one that automates your most annoying repetitive task.
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