Master in Python Scripting & Automation

Unleash the power of Python to automate repetitive tasks, manage systems, process data, and streamline your workflows. This hands-on master program covers everything from Python fundamentals to advanced scripting techniques for real-world automation challenges.

Automate Your Future!

Who Should Enroll?

This program is perfect for:

Prerequisites

Key Python Libraries & Concepts Covered

Python Core

File I/O

OS & Subprocess

Automation

Regex

API Interaction

JSON/CSV

Error Handling

Argparse

Logging

Web Scraping

Scheduling

Hands-on practical training with real-world examples and project-based learning.

Job Roles After This Course

Comprehensive Python Scripting Master Syllabus: Automate, Innovate, Excel!

Module 1: Python Fundamentals for Scripting

  • Introduction to Python: Why Python for scripting? Installation and setup.
  • Variables, Data Types (Strings, Numbers, Lists, Tuples, Dictionaries, Sets).
  • Operators & Expressions.
  • Control Flow: `if-elif-else`, `for` loops, `while` loops.
  • Functions: Defining, calling, arguments, return values.
  • Modules & Packages: Importing, creating simple modules.
  • Virtual Environments (`venv`): Best practices for dependency management.
  • Lab: Write basic scripts for data manipulation, implement functions, set up a virtual environment.

Tools & Concepts:

  • Python Interpreter, VS Code, `venv`, Basic data structures.

Expected Outcomes:

  • Master core Python syntax and data structures.
  • Write clean, readable code with functions and modules.
  • Set up and manage Python development environments.

Module 2: File System & System Automation

  • **Working with Files:** Reading, writing, appending to text files.
  • **File System Operations:** `os` and `shutil` modules (create, delete, copy, move files/directories).
  • **Path Manipulation:** `pathlib` module for object-oriented path handling.
  • **Running External Commands & Processes:** `subprocess` module.
  • Environment Variables: Reading and setting.
  • Scheduling Tasks: Cron jobs (Linux), Task Scheduler (Windows) with Python scripts.
  • Practical Examples: File cleanup, directory synchronization, batch processing.
  • Lab: Create scripts to organize files, run system commands, and schedule a daily report generation.

Tools & Concepts:

  • `os`, `shutil`, `pathlib`, `subprocess`, Cron, Task Scheduler.

Expected Outcomes:

  • Automate file and directory management tasks.
  • Execute and interact with system commands from Python.
  • Schedule Python scripts for automated execution.

Module 3: Data Processing & Text Manipulation

  • **Parsing Structured Data:** Working with CSV, JSON, and XML files.
  • **Regular Expressions (`re` module):** Pattern matching, search, replace, validation.
  • String Formatting: f-strings, `.format()`, old style.
  • Date & Time Manipulation: `datetime` module.
  • Data Filtering & Transformation: List comprehensions, generators.
  • Practical Examples: Log file parsing, data extraction, report generation from various formats.
  • Lab: Write scripts to parse log files, extract specific data using regex, convert data between formats.

Tools & Concepts:

  • `csv`, `json`, `xml.etree.ElementTree`, `re`, `datetime`.

Expected Outcomes:

  • Process and manipulate structured and unstructured text data.
  • Effectively use regular expressions for complex pattern matching.
  • Automate data extraction and transformation workflows.

Module 4: Network & Web Automation Basics

  • **Basic Network Communication:** `socket` module (conceptual).
  • **Working with Web APIs:** Making HTTP requests with the `requests` library.
  • Parsing API Responses: JSON data handling.
  • **Introduction to Web Scraping:** `BeautifulSoup` for parsing HTML.
  • Automating Browser Interactions (conceptual introduction to Selenium/Playwright).
  • Sending Emails: `smtplib` and `email` modules.
  • Practical Examples: Fetching data from public APIs, simple data collection from websites, automated email notifications.
  • Lab: Build a script to fetch weather data from an API, a simple web scraper, and an automated email sender.

Tools & Concepts:

  • `requests`, `BeautifulSoup4`, `smtplib`, `email`.

Expected Outcomes:

  • Interact with web services and APIs using Python.
  • Perform basic web scraping for data collection.
  • Automate email notifications and other network-based tasks.

Module 5: Advanced Scripting & Best Practices

  • **Error Handling & Debugging:** `try-except-finally`, common error types, using a debugger.
  • **Logging:** `logging` module for robust script output.
  • **Command-Line Arguments:** `argparse` for creating user-friendly scripts.
  • Packaging & Distribution: Setting up `setup.py`/`pyproject.toml` for reusability.
  • Writing Maintainable & Testable Scripts: Unit testing basics (`unittest`, `pytest`).
  • Introduction to Git for Script Version Control.
  • Scripting Best Practices: Code style (PEP 8), documentation, modular design.
  • Lab: Refactor previous scripts with error handling, logging, and command-line arguments.

Tools & Concepts:

  • `try-except`, `logging`, `argparse`, `unittest`/`pytest`, Git, PEP 8.

Expected Outcomes:

  • Write robust, debuggable, and user-friendly Python scripts.
  • Implement best practices for script organization and maintainability.
  • Version control your scripts effectively using Git.

This master program will empower you to become a highly efficient and effective Python automation specialist, saving time and resources for any organization.

Student Testimonials

"I went from zero Python to automating my daily IT tasks in weeks! The practical approach to file management and system commands was a game-changer."

- Rajesh Kumar, IT Support Specialist

"The `requests` and `BeautifulSoup` modules opened up a new world for me. I can now easily pull data from APIs and websites for my analysis. Highly recommended!"

- Ananya Singh, Data Analyst Intern

"This course is perfect for anyone in DevOps. Automating deployments, log parsing, and server checks with Python has made my life so much easier. Fantastic content!"

- Chrisoula Papadopoulos, Junior DevOps Engineer

"The error handling and logging sections transformed my messy scripts into reliable tools. I now write code that's robust and easy to debug."

- Emily Watson, QA Engineer

"As a beginner, I found the pace and explanations excellent. The hands-on labs solidified my understanding, and I feel confident writing my own automation scripts now."

- Omar Al-Farsi, Aspiring Automation Specialist

"From regular expressions to command-line arguments, every module was packed with practical knowledge. My productivity has skyrocketed since taking this course."

- Priya Sharma, Software Development Intern

Have Questions? Reach Out!