Introduction to Coding with Python

About Course

This course introduces students to the world of programming using Python, a versatile and beginner-friendly language. By the end of the course, students will understand the basic concepts of Python and be able to write simple programs. This course is designed for absolute beginners, making it ideal for students new to coding.

Course Objectives

By completing this course, students will:

Understand the basics of Python programming.
Learn how to use variables, data types, and operators.
Create programs using conditional statements and loops.
Explore functions and their importance in programming.
Gain confidence to pursue further learning in programming.

Course Content

Module 1: Introduction to Python

What is Python, and Why Learn It?
Installing Python and Setting Up the Environment
Writing and Running Your First Python Program
Congratulations

Module 2: Variables and Data Types

Module 3: Conditional Statements

Introduction to Conditional Statements
Conditional statements allow your program to make decisions based on specific conditions. They enable you to execute certain parts of code only when certain conditions are met. This is essential for creating dynamic and interactive programs.

Module 4: Loops in Python
Loops are a fundamental concept in programming that allow you to repeat a block of code multiple times. They are incredibly useful when you need to perform repetitive tasks or iterate over a sequence of data.

Module 5: Functions in Python
Functions are reusable blocks of code that perform a specific task. They help in organizing your code, reducing repetition, and making it more readable.

Introduction to Functions
Defining and Calling Functions
Function Parameters and Arguments
Return Statement
Fun Example: Making a Calculator
Default Parameters
Fun Example: Emoji Decorator Function
Lambda Functions
Fun Example: Random Joke Generator
Hands-On Practice

Module 6: Lists and Tuples in Python

Module 7: Dictionaries and Sets in Python

Module 8: File Handling in Python

Module 9: Error and Exception Handling in Python

Module 10: Advanced Python Concepts

Module 11: Automation with Python

Module 12: Data Visualization with Python

Module 13: Advanced Topics in Python

Module 14: Wrapping It All Up – Final Projects and Next Steps

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About Course

Course Objectives

Course Content

Module 1: Introduction to Python

What is Python, and Why Learn It?

Installing Python and Setting Up the Environment

Writing and Running Your First Python Program

Congratulations

Module 2: Variables and Data Types

Understanding Variables

Common Data Types in Python

Performing Basic Operations with Data Types

String Operations

Boolean Operations

Hands-On Practice

Module 3: Conditional Statements

Introduction to Conditional Statements Conditional statements allow your program to make decisions based on specific conditions. They enable you to execute certain parts of code only when certain conditions are met. This is essential for creating dynamic and interactive programs.

Introduction to Conditional Statements

Basic If-Else Statement

Using Elif for Multiple Conditions

Comparison Operators

Logical Operators

Nested If Statements

Practical Examples

Hands-On Practice

Module 4: Loops in Python Loops are a fundamental concept in programming that allow you to repeat a block of code multiple times. They are incredibly useful when you need to perform repetitive tasks or iterate over a sequence of data.

Introduction to Loops

For Loops

While Loops

Combining Loops with Conditional Statements

Fun Exercise: Loops with Emojis

Hands-On Practice

Module 5: Functions in Python Functions are reusable blocks of code that perform a specific task. They help in organizing your code, reducing repetition, and making it more readable.

Introduction to Functions

Defining and Calling Functions

Function Parameters and Arguments

Return Statement

Fun Example: Making a Calculator

Default Parameters

Fun Example: Emoji Decorator Function

Lambda Functions

Fun Example: Random Joke Generator

Hands-On Practice

Module 6: Lists and Tuples in Python

Introduction to Lists and Tuples

Understanding Lists

Fun Example: Random Team Generator

Understanding Tuples

Fun Example: Emoji Coordinates

Hands-On Practice

Module 7: Dictionaries and Sets in Python

Introduction to Dictionaries and Sets

Understanding Dictionaries

Fun Example: Word Counter

Understanding Sets

Fun Example: Unique Letters Finder

Hands-On Practice

Module 8: File Handling in Python

Introduction to File Handling

Opening and Closing Files

Writing to a File

Reading from a File

Appending to a File

Using the with Statement

Handling File Errors

Fun Example: Diary App

Hands-On Practice

Module 9: Error and Exception Handling in Python

Introduction to Error Handling

Errors vs. Exceptions

Handling Exceptions with try and except

The finally Block

Raising Exceptions

Common Python Exceptions

Fun Example: Simple Calculator with Error Handling

Hands-On Practice

Module 10: Advanced Python Concepts

Introduction to Advanced Python

Generators and Iterators

Decorators

Introduction to Conditional Statements
Conditional statements allow your program to make decisions based on specific conditions. They enable you to execute certain parts of code only when certain conditions are met. This is essential for creating dynamic and interactive programs.

Module 4: Loops in Python
Loops are a fundamental concept in programming that allow you to repeat a block of code multiple times. They are incredibly useful when you need to perform repetitive tasks or iterate over a sequence of data.

Module 5: Functions in Python
Functions are reusable blocks of code that perform a specific task. They help in organizing your code, reducing repetition, and making it more readable.