Best Full Stack Python training in Chennai

Module 1: Introduction to Python

Objective: Understand what Python is and set up the environment.

• What is Python? History & Features

• Applications of Python

• Installing Python and IDEs (VS Code, PyCharm, Jupyter)

• Writing and executing your first Python script

• Python interpreters and REPL

Module 2: Python Basics – Syntax & Data Types

Objective: Learn Python syntax and work with core data types.

• Variables and data types

• Operators (arithmetic, logical, comparison, assignment)

• Type casting

• Comments and code readability

• Input and output (I/O)

Module 3: Control Flow

Objective: Use conditions and loops in programs.

• if, elif, else statements

• for and while loops

• Loop control (break, continue, pass)

• Nested conditions and loops

Module 4: Data Structures in Python

Objective: Master built-in data collections.

• Strings and string operations

• Lists and list methods

• Tuples and immutability

• Sets and set operations

• Dictionaries and key-value operations

• List/dict/set comprehensions

Module 5: Functions & Modules

Objective: Create reusable code blocks.

• Defining and calling functions

• Arguments and return values

• Default and keyword arguments

• *args and **kwargs

• Scope: local, global

• Lambda (anonymous) functions

• Importing modules (math, random, custom modules)

Module 6: Object-Oriented Programming (OOP)

Objective: Apply OOP concepts using Python.

• Classes and objects

• __init__ constructor method

• Instance vs class variables

• Encapsulation, inheritance, and polymorphism

• Method overriding

• @staticmethod and @classmethod

• super() function

Module 7: Exception Handling

Objective: Handle runtime errors safely.

• Types of exceptions

• try, except, finally, else

• Custom exceptions

• Raising exceptions manually

Module 8: File Handling

Objective: Read from and write to files.

• File modes: r, w, a, rb, wb

• Reading and writing text and binary files

• with statement

• Working with CSV and JSON files

Module 9: Working with Standard Libraries & pip

Objective: Use Python’s built-in and third-party modules.

• Common standard libraries: os, datetime, random, math, sys

• Installing external packages with pip

• Virtual environments with venv

Module 10: Introduction to Data Handling with Pandas (Optional/Advanced)

Objective: Learn basic data analysis with Pandas.

• Installing Pandas and NumPy

• Series and DataFrames

• Reading from CSV/Excel

• DataFrame operations (filtering, sorting, grouping)

• Basic data visualization with matplotlib or seaborn

Module 11: Working with APIs and Requests

Objective: Communicate with external data sources via APIs.

• HTTP basics

• Using the requests library

• Making GET and POST requests

• Parsing JSON responses

• Example: Consuming public APIs (e.g., weather, currency, GitHub)

Module 12: Testing and Debugging

Objective: Test and troubleshoot Python applications.

• Using print vs logging

• Introduction to unittest and pytest

• Writing unit test cases

• Debugging with IDE tools