What you'll learn
The Python Course provides a clear and practical introduction to one of the most popular programming languages in the world. It covers basic syntax, data types, operators, control statements, functions, lists, tuples, dictionaries, file handling, and an introduction to modules and object-oriented programming. This course helps learners build strong programming skills and prepares them for careers in data analysis, automation, web development, and software programming.
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Course Syllabus
Module 1: Introduction to Python
- What is Python?
- Features and advantages of Python
- Installing Python & IDEs (IDLE, VS Code, PyCharm)
- Running Python programs
- Understanding interpreter & compiler
- Python script vs. interactive mode
Module 2: Python Basics
- Keywords and Identifiers
- Variables and Data Types
- Input and Output functions
- Type casting
- Comments in Python
Module 3: Operators in Python
- Arithmetic Operators
- Relational Operators
- Logical Operators
- Assignment Operators
- Bitwise Operators
- Membership & Identity Operators
Module 4: Control Statements
- If, If-Else, Nested If
- For Loop
- While Loop
- Break, Continue, Pass statements
Module 5: Python Data Structures
Lists
- Creating lists
- List indexing & slicing
- List methods (append, insert, remove, sort, etc.)
Tuples
- Creating tuples
- Tuple functions
- Difference between List and Tuple
Dictionaries
- Key-value pairs
- Adding, updating, removing items
- Dictionary methods
Sets
- Creating sets
- Set operations (union, intersection, difference)
Module 6: Strings in Python
- Creating strings
- String slicing
- String functions (lower, upper, find, replace, etc.)
- String formatting
Module 7: Functions in Python
- Defining and calling functions
- Arguments (positional, keyword, default)
- Return statement
- Lambda functions
- Recursion (basic)
Module 8: Modules & Packages
- Importing modules
- Built-in modules (math, random, datetime, etc.)
- Creating your own module
Module 9: File Handling
- Opening and closing files
- Reading and writing files
- Handling text & binary files
- File methods (read(), readline(), write(), etc.)
Module 10: Exception Handling
- Try, Except, Finally
- Multiple exceptions
- Raising exceptions
Module 11: Object-Oriented Programming (OOP)
- Classes and Objects
- Constructors
- Inheritance (single, multilevel, multiple)
- Polymorphism
- Encapsulation
- Method Overloading & Overriding
Module 12: Python Libraries (Overview)
- NumPy (Basics)
- Pandas (Basics)
- Matplotlib (Basics)
- Use cases in Data Science, Automation & Development
Module 13: Mini Projects
- Calculator
- Student Record System
- Simple Data Analysis using Pandas
- File-based Address Book
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