Best Advanced Python training in Chennai

Module 1: Advanced Python Concepts Refresher

Objective: Reinforce intermediate-level understanding before diving deeper.

• Pythonic coding style

• List, set, dict comprehensions (nested and conditional)

• Lambda functions and anonymous expressions

• Iterable vs iterator vs generator

• Enumerate and zip functions

• *args, **kwargs, unpacking

• Built-in functions: map(), filter(), reduce(), any(), all()

Module 2: Object-Oriented Programming (Advanced OOP)

Objective: Master complex OOP patterns and features in Python.

• Dunder (magic) methods (__str__, __repr__, __eq__, etc.)

• Class vs static vs instance methods

• Inheritance (single, multiple)

• Method resolution order (MRO)

• Composition vs inheritance

• Abstract base classes

• dataclasses module

• Custom exceptions and error handling

Module 3: Decorators, Closures & Context Managers

Objective: Write cleaner, more reusable Python code.

• First-class functions & closures

• Decorators (basic to advanced)

• Function chaining and nesting

• Built-in decorators: @property, @classmethod, @staticmethod

• Custom decorators with arguments

• Context managers and with statement

• Custom context managers using __enter__ and __exit__

Module 4: Iterators, Generators & Coroutines

Objective: Work efficiently with large data and async flows.

• Generator functions vs expressions

• Yield and state retention

• Generator pipelines

• itertools module

• Coroutines vs generators

• Introduction to async and await

• Async I/O using asyncio

• Event loop and concurrency basics

Module 5: File & Data Handling

Objective: Handle structured data and work with files effectively.

• Reading/writing text, CSV, JSON, XML

• Working with binary files (images, audio, etc.)

• Using os, shutil, and pathlib for file system operations

• Pickle and serialization

• Logging and log configuration

• Reading/writing Excel with openpyxl or pandas

Module 6: Unit Testing & Debugging

Objective: Ensure code reliability with professional testing tools.

• unittest module

• Writing and organizing test cases

• Using pytest for advanced testing

• Fixtures and parameterized tests

• Mocking with unittest.mock

• Code coverage tools

• Debugging with pdb and IDEs

Module 7: Functional & Modular Programming

Objective: Develop modular, functional code using modern practices.

• Functional programming concepts in Python

• Pure functions, immutability

• Recursion and tail recursion optimization

• Modular design and code organization

• Creating and importing custom packages

• Project structure best practices

• Packaging and distribution using setuptools

Module 8: Working with APIs & Web Requests

Objective: Interact with external services and build robust API consumers.

• HTTP methods and headers

• RESTful services

• Using requests for GET/POST/PUT/DELETE

• Handling timeouts, exceptions, retries

• API authentication (tokens, keys)

• Parsing JSON and working with data

• Building a simple API with Flask or FastAPI (optional)

Module 9: Data Handling with Pandas & NumPy (Optional)

Objective: Work with large datasets and perform advanced data manipulations.

• NumPy arrays, broadcasting, and operations

• Pandas DataFrames: filtering, sorting, merging

• Handling missing values

• Grouping and aggregation

• Data visualization (basic with Matplotlib/Seaborn)

Module 10: Multithreading, Multiprocessing & Concurrency

Objective: Write high-performance Python code.

• GIL (Global Interpreter Lock) explained

• Threading module and thread safety

• Multiprocessing and CPU-bound tasks

• concurrent.futures for parallel execution

• Using queues for inter-process communication

• When to use threading vs multiprocessing vs asyncio

Module 11: Advanced Topics & Best Practices

Objective: Improve code quality, performance, and maintainability.

• Code optimization techniques

• Memory management and garbage collection

• Type hinting and static analysis (mypy)

• Python style guide (PEP 8)

• Writing efficient and readable code

• Introduction to linters and formatters (flake8, black)