Course Content
Module 1 – Getting Started with Python
introduced the fundamentals of Python, giving beginners a clear understanding of how the language works and how to start writing simple programs. Python was highlighted as a beginner-friendly language with simple syntax, making it easy to read and write code.
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Module 2 – 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.
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Basic Command for Command prompt, PowerShell, Zsh(macOS)
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Module 3 – 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.
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Module 4 – 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.
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Day 1 Summary
We covered Modules 1, 2 & Module 3 (Lesson 1 & 2)
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Module 5 – 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.
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Day 2 Summary
Summary for Day 21 Aug 2025
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Day 3 Summary
Summary of Day 28 Aug 2025
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Module 7 – 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.
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Module 8 – 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.
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Day 4 Summary
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Module 9 – 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.
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Day 5 Summary
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Mini Project: Build your own Automation Tool
The project incorporates two common automation tasks – Contact Management and Student Tasks Tracking
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Day 6 Summary
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Introduction to Python Programming (Copy 1)

 Lab: Automating Email

 Objective

  • Generate sample files (PDF, image, chart).

  • Configure Gmail for sending emails with App Passwords.

  • Run the provided Python script to send:

    1. Weekly Sales Report with attachments

    2. Product Catalog with inline image

    3. Personalized updates to multiple contacts

Step 1: Generate Required Files

1. Weekly Report (PDF)

Create dummy pdf file

reportsweekly_report.pdf

2. Chart Image

chart.png

3. Product Image

(product.jpg)

Use Paint to create the above two files

Step 2: Folder Structure

Your Folder structure should reflect this

folder structure

Lab 9 folder structure

Step 3: Configure Gmail

  1. Go to your Google Account: https://myaccount.google.com/security
  2. Enable 2-Step Verification in Google Account.

  3. Go to your Google Account: https://myaccount.google.com/apppasswords 
  4. Generate an App Password for “Mail → Other (Python Script)”.

  5. Use that password in your script when prompted.

Step 5: Run the Email Script

Now run your main script:

import os
import smtplib
import ssl
from email.message import EmailMessage
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import getpass


# Prompt for credentials
sender = input("Enter your email address: ")
password = getpass.getpass("Enter your email password: ")

# Create a secure SSL context
context = ssl.create_default_context()


# -------------------- Weekly Sales Report --------------------
msg = EmailMessage()
msg["Subject"] = "Weekly Sales Report"
msg["From"] = sender
msg["To"] = "team@example.com"
msg.set_content("""
Hello Team,

Please find attached the weekly sales report.

Kind regards,  
Your Automation Script
""")

with open("reports/weekly_report.pdf", "rb") as f:
    file_data = f.read()
    file_name = os.path.basename("reports/weekly_report.pdf")
msg.add_attachment(file_data, maintype="application", subtype="pdf", filename=file_name)

with open("chart.png", "rb") as img:
    img_data = img.read()
msg.add_attachment(img_data, maintype="image", subtype="png", filename="chart.png")

with smtplib.SMTP_SSL("smtp.gmail.com", 465, context=context) as server:
    server.login(sender, password)
    server.send_message(msg)
    print("Weekly Sales Report Email sent successfully")


# -------------------- Product Catalog with Embedded Image --------------------
sender_email = sender
receiver_email = "customer@example.com"

msg2 = MIMEMultipart('related')
msg2['Subject'] = "Product Catalog"
msg2['From'] = sender_email
msg2['To'] = receiver_email

html_content = """
<html>
  <body>
    <h1>New Product Launch</h1>
    <p>Check out our latest product:</p>
    <img src="cid:prod_image">
  </body>
</html>
"""
html_part = MIMEText(html_content, 'html')
msg2.attach(html_part)

with open("product.jpg", "rb") as img:
    img_data = img.read()
image_part = MIMEImage(img_data, _subtype="jpg")
image_part.add_header('Content-ID', '<prod_image>')
msg2.attach(image_part)

with smtplib.SMTP_SSL("smtp.gmail.com", 465, context=context) as server:
    server.login(sender, password)
    server.send_message(msg2)
    print("Product Catalog Email sent successfully")


# -------------------- Personalized Updates --------------------
contacts = [
    {"email": "alice@example.com", "name": "Alice"},
    {"email": "bob@example.com", "name": "Bob"}
]

for person in contacts:
    msg3 = EmailMessage()
    msg3["Subject"] = "Personalized Update"
    msg3["From"] = sender
    msg3["To"] = person["email"]
    msg3.set_content(f"""
Hi {person['name']},

Here is your personalised update for this week.

Regards,  
Automation Bot
""")

    with smtplib.SMTP_SSL("smtp.gmail.com", 465, context=context) as server:
        server.login(sender, password)
        server.send_message(msg3)
        print(f"Sent email to {person['name']}")


# -------------------- Duplicate Send (Email + Chart Attachment) --------------------
with smtplib.SMTP_SSL("smtp.gmail.com", 465, context=context) as server:
    server.login(sender, password)
    server.send_message(msg)
    print("Email sent successfully")

with open("chart.png", "rb") as img:
    img_data = img.read()
msg.add_attachment(img_data, maintype="image", subtype="png", filename="chart.png")


# -------------------- Product Catalog (Again with Embedded Image) --------------------
msg = MIMEMultipart('related')
msg['Subject'] = "Product Catalog"
msg['From'] = sender_email
msg['To'] = receiver_email

html_content = """
<html>
  <body>
    <h1>New Product Launch</h1>
    <p>Check out our latest product:</p>
    <img src="cid:prod_image">
  </body>
</html>
"""
html_part = MIMEText(html_content, 'html')
msg.attach(html_part)

with open("product.jpg", "rb") as img:
    img_data = img.read()
image_part = MIMEImage(img_data, _subtype="jpg")
image_part.add_header('Content-ID', '<prod_image>')
msg.attach(image_part)


# -------------------- Personalized Updates (Again) --------------------
contacts = [
    {"email": "alice@example.com", "name": "Alice"},
    {"email": "bob@example.com", "name": "Bob"}
]

for person in contacts:
    msg = MIMEMultipart("alternative")
    msg["Subject"] = "Personalized Update"
    msg["From"] = sender
    msg["To"] = person["email"]

    text_content = f"""
Hi {person['name']},

Here is your personalised update for this week.

Regards,  
Automation Bot
"""
    msg.attach(MIMEText(text_content, "plain"))

    with smtplib.SMTP_SSL("smtp.gmail.com", 465, context=context) as server:
        server.login(sender, password)
        server.send_message(msg)
        print(f"Sent email to {person['name']}")

You should see outputs like:

 
Enter your email address: yourname@gmail.com
Enter your email password: ************
Weekly Sales Report Email sent successfully
Product Catalog Email sent successfully
Sent email to Alice
Sent email to Bob
Email sent successfully

 At the end of this lab, students will have:

  • Created PDF, chart, and image files.

  • Sent emails with attachments and inline images.

  • Sent personalized emails to multiple contacts.