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Introduction to Python Programming

Categories Programming, Python
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What I will learn?

  • Set up Python and your development environment, then master core coding skills—variables, data types, functions, conditions, loops and organising reusable code.
  • Automate everyday jobs by working with files and folders, using popular libraries and driving web tasks with PyAutoGUI and Selenium.
  • Build smarter workflows to process Excel and PDF documents, send automated emails and alerts, and schedule your scripts to run on their own.
  • Bring it all together in a mini-project to create a complete automation tool, learn error-handling and debugging, and map out your career-growth path.

Course Curriculum

Module 1 – Introduction to Python Programming
In this Introduction to Python module, learners explore Python’s clear, readable syntax and powerful features. Beginning with installation and a simple “Hello, World!” script, you will progress through variables, control flow and functions using step-by-step examples. By the end, you will be equipped to write your own Python programmes, automate routine tasks and tap into an extensive library ecosystem for real-world projects.

  • Lesson 1: Introduction to Python & Setup
  • Lesson 2: Python Real-World Applications
  • Lesson 3: Getting Started with Python
  • Lesson 4: Installing Python Packages and Modules
  • Summary
  • Quiz: Introduction to Python and Setup
  • Lab Activity : Intro to Python

Basic Command for Command prompt, PowerShell, Zsh(macOS)

Module 2 – Variables, Data Types and Basic Operations
In the Variables, Data Types and Basic Operations in Python module, learners explore how to store and manage data using variables, master fundamental types such as integers, floats, strings and booleans, and perform arithmetic, comparison and logical operations step by step. Clear explanations, real world examples and hands on exercises guide you through writing and debugging code. By the end of this module, you will be ready to build dynamic Python programs and automate everyday tasks.

Module 3 – Control Flow – Conditions and Loops
Control flow structures determine the order in which your program’s code executes. With conditional statements, you can make decisions and execute certain code blocks only when specific conditions are met. Loops allow you to repeat actions efficiently without writing redundant code. In this module, we will explore fundamental control flow concepts in Python in a step-by-step manner, similar to Microsoft’s learning curriculum. By the end, you’ll understand how to use if, elif, and else statements (including nested conditions) for decision-making, how truthy and falsy values work in Boolean logic, how to construct for loops (using range() and iterating over collections), how to use while loops along with loop control statements (break and continue), and how to leverage list comprehensions and generator expressions for concise looping. Finally, we’ll apply these concepts in a practical exercise to build an interactive decision-making system. Each section below includes explanations, code examples, and mini-exercises to reinforce the concepts, all formatted for clarity and easy follow-along.

Day 1 Summary
We covered Modules 1, 2 & Module 3 (Lesson 1 & 2)

Module 4 – Functions and Code Organisation
Imagine you need to clean up a messy data set or send a personalised email to each customer. Instead of writing the same steps over and over, you can create a function and call it whenever you need. In this lesson on Functions and Code Organisation, you will learn how to define functions, pass and return information, document your work and group related code into modules for easy reuse and maintenance.

Day 2 Summary
Summary for Day 21 Aug 2025

Module 5- Automating a Daily Task with Conditionals & Loops

Day 3 Summary
Summary of Day 28 Aug 2025

Module 6 – Working with Files and Folders
In this lesson, we will learn how to manipulate files and directories using Python. We’ll explore common file operations using the os module, and see how the pathlib module provides an object-oriented way to handle file paths. We’ll also use the glob module for pattern-based file searches and learn file I/O operations for text, CSV, and binary files. Additionally, we’ll introduce the calendar and time modules to work with dates and timestamps. Finally, an interactive lab will tie everything together by automating a folder backup and cleanup task. Follow the step-by-step sections below for each subtopic, try out the code examples, and explore the guided lab at the end.

Module 7 – Error Handling and Debugging Techniques
In this lesson, we will learn how to handle errors in Python programs and how to debug code effectively. Errors are inevitable, but knowing how to manage them ensures our programs don't crash unexpectedly. We will cover the difference between syntax errors and exceptions, how to use try, except, else, and finally blocks to catch and handle exceptions, and how to raise your own exceptions (including creating custom exception classes). We’ll also explore debugging strategies: using simple print statements or the logging module to trace your program’s execution, and using Python’s interactive debugger pdb to step through code. By following best practices for error handling and debugging, you can write resilient, maintainable code. Throughout this lesson, try the examples and exercises to practice these techniques.

Day 4 Summary

REMOVED Module 8 – Automating Excel and PDFs with Python
In this lesson, you will learn how to automate common communication and reporting tasks using Python. We will cover sending notifications via email, messaging platforms, and SMS, as well as manipulating Excel spreadsheets and PDF files programmatically. Each section below includes step-by-step explanations, code examples, and interactive exercises to reinforce your understanding. By the end of this lesson, you’ll be able to send emails with attachments, integrate with Slack/Microsoft Teams, send SMS alerts, and automate Excel/PDF workflows.

Day 5 Summary

REMOVED Module 9 – Automating Email and Notifications
Automating email notifications with Python lets you generate and dispatch messages automatically, saving time and cutting down on mistakes. In this lesson, you will learn how to compose emails, add attachments and send them through an SMTP server—all with just a few lines of code.

Mini Project: Build your own Automation Tool
The project incorporates two common automation tasks – Contact Management and Student Tasks Tracking

Day 6 Summary

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Student Ratings & Reviews

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Technisaur Admin
Technisaur Admin
6 days ago
Great course for learning introduction to programming
Free
Free access this course
  • Level
    Beginner
  • Total Enrolled
    37
  • Duration
    24 hours
  • Last Updated
    October 12, 2025
  • Certificate
    Certificate of completion

A course by

Technisaur Admin
A
F
Fatima
Python Trainer
sfawan
Sunlight

Material Includes

  • Downloadable code samples

Requirements

  • Basic computer skills and familiarity with file navigation
  • A computer running Windows, macOS or Linux with an internet connection
  • Python installed from python.org
  • Choice of code editor or IDE such as VS Code, Jupyter Notebook or PyCharm
  • Willingness to learn by doing and follow step-by-step labs

Tags

Data Types & Control Flow Email Automation Error Handling & Debugging PDF & Excel Automation Python CLI tools Python file handling Python programming Scheduling & Task Automation

Target Audience

  • Complete beginners with no prior programming experience
  • Professionals who want to automate repetitive tasks
  • Students studying IT or data-focused disciplines
  • Anyone interested in learning Python for web, data or process automation

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