Python Syllabus
Python Syllabus
1. Introduction to Python
History and Features of Python
Installing Python and Setting Up Environment
Running Python Programs (Interactive Mode, Script Mode)
Python IDEs (IDLE, PyCharm, VS Code)
2. Python Basics
Variables and Data Types
Operators (Arithmetic, Logical, Relational, Bitwise, Assignment)
Type Conversion and Casting
Input and Output Functions (
input(),print())
3. Control Flow Statements
Conditional Statements (
if,if-else,elif)Looping Statements (
for,while)Loop Control (
break,continue,pass)
4. Functions and Modules
Defining and Calling Functions
Function Arguments and Return Values
Lambda Functions
Built-in Functions
Importing and Creating Modules
5. Data Structures in Python
Lists (Indexing, Slicing, Operations, Methods)
Tuples (Immutability, Packing, Unpacking)
Sets (Union, Intersection, Difference)
Dictionaries (Keys, Values, Methods)
6. File Handling
Opening and Closing Files
Reading and Writing Files
Working with CSV and JSON Files
7. Exception Handling
Try, Except, Finally Block
Handling Multiple Exceptions
Raising Custom Exceptions
8. Object-Oriented Programming (OOP) in Python
Classes and Objects
Constructors and Destructors
Inheritance and Polymorphism
Method Overriding and Super()
Encapsulation and Data Hiding
9. Python Libraries and Modules
NumPy (Arrays, Mathematical Functions)
Pandas (DataFrames, Series, Data Manipulation)
Matplotlib & Seaborn (Data Visualization)
Requests (Working with APIs)
10. Python for Data Science & Machine Learning
Introduction to Machine Learning with Scikit-Learn
Data Preprocessing and Feature Engineering
Supervised and Unsupervised Learning Basics
11. Advanced Python Topics
Decorators and Generators
Multithreading and Multiprocessing
Regular Expressions (
remodule)Working with Databases (SQLite, MySQL with Python)
12. Web Development with Python
Flask Basics (Routing, Templates, Forms)
Django Basics (MVC, Models, Views, Templates)
