Python

Course Overview

The Core Python Course is designed to build a strong foundation in Python programming from scratch. This course focuses on Python fundamentals, data types, control flow, functions, object-oriented programming, file handling, exception handling, and essential libraries, enabling learners to write clean, efficient, and reusable Python code.

Module 1: Introduction to Python

• What is Python?

• History and evolution of Python

• Features and advantages of Python

• Applications of Python

• Python versions and installation

• Python IDEs (PyCharm, VS Code, IDLE)

• Writing and executing first Python program

• Python syntax and indentation rules

Module 2: Python Basics & Data Types

• Variables and naming conventions

• Keywords and identifiers

• Built-in data types:

  • int

  • float

  • complex

  • string

  • boolean

• Type conversion and casting

• Input and output functions

• Comments and code readability

Module 3: Operators & Expressions

• Arithmetic operators

• Relational operators

• Logical operators

• Assignment operators

• Bitwise operators

• Membership and identity operators

• Operator precedence

Module 4: Control Flow Statements

• Conditional statements:

  • if

  • if-else

  • elif

  • nested conditions

• Looping statements:

  • for loop

  • while loop

• Loop control:

  • break

  • continue

  • pass

• Practical programming examples

Module 5: Python Data Structures

• Lists:

  • Creating and accessing lists

  • List methods

  • List comprehension

• Tuples:

  • Tuple properties

  • Tuple methods

• Sets:

  • Set operations

  • Set methods

• Dictionaries:

  • Key-value pairs

  • Dictionary methods

• Data structure use cases

Module 6: Strings & String Handling

• String creation and indexing

• String slicing

• String methods

• String formatting:

  • format()

  • f-strings

• Escape characters

• Practical string manipulation tasks

Module 7: Functions & Modules

• Built-in functions

• User-defined functions

• Function arguments:

  • Positional

  • Keyword

  • Default

  • Variable-length

• Return statements

• Lambda functions

• Python modules

• Importing modules

• Creating custom modules

Module 8: Object-Oriented Programming (OOPs)

• Introduction to OOP

• Classes and objects

• Constructors (__init__)

• Instance variables & methods

• Inheritance

• Polymorphism

• Encapsulation

• Abstraction

• Method overriding

Module 9: Exception Handling

• Types of errors

• Exceptions in Python

• try, except, else, finally

• Multiple exception handling

• Custom exceptions

• Best practices for error handling

Module 10: File Handling

• File types and modes

• Opening and closing files

• Reading and writing files

• Working with text files

• Working with CSV files

• File operations using with statement

Module 11: Python Standard Libraries

• Math module

• Random module

• Datetime module

• OS and Sys modules

• Regular expressions (re module)

• Introduction to JSON handling

Module 12: Virtual Environment & Package Management

• What is virtual environment?

• Creating virtual environments

• pip and package installation

• Requirements file

• Python project structure

Module 13: Mini Projects & Practice

• Console-based Python projects

• Logical programming challenges

• Real-world problem solving

• Code optimization and debugging

• Project documentation