The Python Programming for Beginners course introduces the fundamentals of Python, covering basic syntax, data types, control structures, functions, and essential data structures. It provides hands-on experience with file handling, error management, and an introduction to object-oriented programming, equipping learners with the skills needed to start writing and understanding Python code effectively.

Module 1: Introduction to Python

What is Python?

• Overview of Python programming language
• History and evolution of Python
• Python’s popularity and use cases

Setting Up the Environment

• Installing Python (Anaconda, Python.org)
• Introduction to IDEs (PyCharm, VS Code, Jupyter Notebook)
• Writing and running your first Python scrip

• Learning Material
• Topic Quiz

Module 2: Python Basics

Syntax and Semantics

• Python syntax and indentation
• Comments and docstrings

Variables and Data Types

• Understanding variables in Python
• Basic data types: integers, floats, strings, and Booleans
• Type conversion

Basic Operations

• Arithmetic operators
• Assignment operators
• Comparison operators
• Logical operators

• Reading Material
• Topic Quiz

Module 3: Control Flow

Conditional Statements

• if, else, and elif statements
• Nested conditionals

Loops

• for loops and iteration over sequences
• while loops and loop control (break, continue, pass)
• Using loops with conditional statements

Understanding range() Function

• Generating sequences of numbers
• Using range() in loops

• Reading Material
• Topic Quiz

Module 4: Functions

Introduction to Functions

• Defining and calling functions
• Function parameters and arguments
• Return values

Built-in Functions

• Commonly used built-in functions (len(), type(), print(), etc.)

Scope and Lifetime of Variables

• Local vs. global variables
• Understanding the return statement

Lambda Functions

• Introduction to anonymous functions
• Basic use cases for lambda function

• Reading Material
• Topic Quiz

Module 5: Data Structures

Lists

• Creating and manipulating lists
• List methods and operations

Tuples

• Creating and using tuples
• Differences between lists and tuples

Dictionaries

• Creating dictionaries
• Accessing, adding, and modifying dictionary items

Sets

• Creating sets and set operations
• Understanding the uniqueness of set elements

• Reading Material
• Topic Quiz

Module 6: Working with Strings

String Basics

• String creation and manipulation
• String methods (e.g., split(), join(), replace())

String Formatting

• Old-style formatting with %
• New-style formatting with format()
• f-strings for formatting in Python 3.6+

String Operations

• Slicing and indexing
• String concatenation and repetition

• Reading Material
• Topic Quiz

Module 7: File Handling

Reading and Writing Files

• Opening and closing files
• Reading from and writing to text files
• File modes (r, w, a, b, etc.)

Working with File Paths

• Handling file paths using os module
• Checking if a file or directory exists

Exception Handling with Files

• Using try, except, and finally with file operations

• Reading Material
• Topic Quiz

Module 8: Error handling and Exceptions

Introduction to Exceptions

• Understanding exceptions and errors
• Common Python exceptions

Try-Except Blocks

• Handling exceptions using try and except
• Creating custom exceptions

Finally, and Else

• Ensuring clean-up with finally
• Using else with exception handling

• Reading Material
• Topic Quiz

Module 9: Modules and Packages

Introduction to Modules

• Importing standard and third-party modules
• Creating and using custom modules

Packages

• Understanding Python packages
• Organizing code with packages and __init__.py

Using pip

• Installing and managing packages with pip
• Introduction to virtual environments

 

• Reading Material
• Topic Quiz

 

Module 10: Introduction to Object-Oriented-Programming (OOP)

Understanding Classes and Objects

• Defining classes and creating objects
• Attributes and methods

Inheritance and Polymorphism

• Implementing inheritance in Python
• Method overriding and polymorphism

Encapsulation

• Using access modifiers
• Getter and setter methods

• Reading Material
• Topic Quiz

 

Module 11: Basic Data Analysis

Introduction to NumPy

• Creating and manipulating arrays
• Basic numerical operations with NumPy

Introduction to Pandas

• Creating and using Data Frames
• Basic data analysis with Pandas

• Reading Material
• Topic Quiz