Learn Python automation and let your code do the work
Automate files, spreadsheets, emails, web scraping, and scheduled tasks with Python. Py guides you through every concept step by step — you build real automations, not just toy examples.
From 1,000+ Python learners
What you'll be able to automate
After completing this path, these aren't hypothetical skills — they're things you'll actually do in the capstone project.
File management
Sort downloads, rename files by date, archive old files, clean up duplicates.
Reports & spreadsheets
Pull data from multiple CSVs, aggregate it, and produce formatted Excel reports automatically.
Web scraping
Collect pricing data, job listings, news, or any public information on a schedule.
Email workflows
Send automated alerts, weekly summaries, personalised bulk emails with attachments.
Scheduled jobs
Run scripts daily, weekly, or at any interval without ever touching a keyboard.
Data pipelines
Move data between systems, transform it, and land it where it needs to be — hands-free.
Python Automation curriculum — 7 modules
Prerequisite: Python Intermediate. Each module builds toward the capstone pipeline.
File System Automation
Automate file renaming, moving, copying, and organising using os, pathlib, and shutil. Build a script that sorts a folder automatically.
CSV and Spreadsheet Automation
Read, write, and transform CSV files with Python's csv module. Then move to pandas for powerful data manipulation and openpyxl for Excel files.
Web Scraping with BeautifulSoup
Fetch web pages with requests, parse HTML with BeautifulSoup, extract structured data, and save it to files. Build a real scraper for a public data source.
Email Automation
Send formatted emails, attachments, and bulk messages using smtplib and the email library. Build an automated email report system.
Task Scheduling
Schedule Python scripts to run automatically using the schedule library and understand cron jobs on Linux/Mac. Set up recurring automated tasks.
Data Pipeline Automation
Combine everything: read data from a source, clean and transform it, and write results to a destination — automatically. The backbone of real-world automation.
Automation Capstone Project
Build a complete end-to-end automation pipeline using all skills from the path. Scrape data, process it, generate a report, and email it on a schedule.
Why Python automation is one of the most valuable skills you can learn
Most office workers spend 2–4 hours a day on tasks a 30-line Python script could handle in seconds. Renaming and sorting files. Copying data between spreadsheets. Generating the same weekly report. Sending the same follow-up emails. The bottleneck isn't willpower — it's not knowing that the tool exists.
Python automation is different from other programming skills because the ROI is immediate and visible. You write a script on Monday. By Friday you've saved 3 hours. Your manager sees the output, not the code — which is why automation engineers are so highly valued. You produced the same result with a fraction of the effort.
The Automation path teaches you the mental model first: identify what's repetitive, find the right tool, build the smallest thing that works, then extend it. Py guides you through the logic before you touch the libraries — so you understand what you're doing, not just how to copy it.
What automation learners say
“I automated a 2-hour weekly report at work. My manager asked how. I said 'Python'. Got a raise 3 months later. Not even exaggerating.”
“The web scraping module alone was worth it. I now have price tracking running automatically for 50 products. Took me a weekend to build after this path.”
“Py made me realise I wasn't just learning syntax — I was learning to think like an engineer. 'What's repetitive? Automate it.' Changed how I work forever.”
Frequently asked questions
What Python experience do I need for the Automation path?
You need to have completed the Python Intermediate path, or have equivalent experience with OOP, file I/O, and modules. Automation builds on those foundations — you'll be writing scripts that work with real files and systems.
What can I automate after this path?
After the Automation path you'll be able to automate: file organisation and renaming, Excel/CSV report generation, web scraping for data collection, email sending and parsing, scheduled jobs that run without you, and end-to-end data pipelines.
Do I need to install anything to start?
No. You learn and run code directly in MyPyMentor's browser environment. Libraries like pandas, openpyxl, requests, and BeautifulSoup are pre-installed. No local setup needed.
Is Python automation valuable for jobs?
Yes — Python automation is one of the most in-demand and highest-ROI skills in the job market. Analysts, operations teams, finance professionals, and engineers all use it. Companies pay significant premiums for people who can automate manual workflows.
How long does the Automation path take?
With 30–45 minutes a day, most learners complete the Automation path in 6–8 weeks. The final project ties everything together into a real end-to-end automation pipeline you can show to employers.