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3 MonthsLevel: AdvancedFee: ₹15,000

Advanced Python

Production-Grade Engineering, Concurrency & Data Pipelines

A comprehensive 3-month advanced Python program designed to elevate your programming to professional, production-grade engineering standards.

Master advanced object-oriented architectures, functional paradigms, custom decorators, and high-performance generators.

Harness NumPy and Pandas for robust data manipulation, integrate REST APIs, and conquer concurrency with multithreading, multiprocessing, and async programming.

Write rock-solid test suites with pytest, connect to SQL databases, and build an end-to-end automation or data pipeline capstone project.

8 Modules
Live Mentorship
Real Projects
Industry Ready

Program Details

Duration
3 Months
Modules
8 Modules
Mentorship
Included
Real-world Projects
Yes
Level
Advanced
Fee
₹15,000
Apply Now →Download Brochure

Program Roadmap

1
Module 1

Advanced OOP

Design scalable, maintainable class hierarchies using enterprise Python object-oriented patterns.

  • ●Inheritance and Polymorphism with Multiple Inheritance and MRO
  • ●Encapsulation, Property Decorators, and Data Protection
  • ●Magic and Special Dunder Methods for Custom Class Behaviors
  • ●Abstract Base Classes, Interfaces, and Subclass Registration
  • ●Enterprise Object-Oriented Design Patterns in Python
2
Module 2

Functional Programming

Write clean, modular, and efficient functional-style Python code with advanced constructs.

  • ●Lambda Functions, Anonymous Expressions, and Closures
  • ●Higher-Order Functional Programming: Map, Filter, and Reduce
  • ●Function Decorators, Class Decorators, and Chained Decorators
  • ●Custom Iterators, Protocols, and Iterable Sequences
  • ●Generators, Yield Expressions, and Memory Optimization
3
Module 3

Data Handling Libraries

Manipulate, clean, and analyze high-volume datasets using NumPy and Pandas.

  • ●NumPy Multi-Dimensional Arrays, Vectorization, and Broadcasting
  • ●Pandas Series and DataFrames for Robust Data Ingestion and Export
  • ●Comprehensive Data Cleaning: Handling Nulls, Outliers, and Type Casting
  • ●Advanced Filtering, Slicing, Indexing, and Conditional Queries
  • ●Aggregations with GroupBy, Pivot Tables, Merging, and Joining
4
Module 4

APIs & Web Requests

Integrate external data sources and communicate seamlessly with modern web services.

  • ●REST Architecture Principles and Core HTTP Methods
  • ●Working with the Requests Library, Headers, and Client Sessions
  • ●JSON Serialization, Deserialization, and Schema Validation
  • ●API Authentication Standards: API Keys, Bearer Tokens, and Basic Auth
  • ●Production Error Handling, Rate Limiting, Timeouts, and Retries
5
Module 5

Multithreading & Multiprocessing

Build concurrent and high-performance Python programs for I/O-bound and CPU-bound tasks.

  • ●Concurrency vs Parallelism and the Python Global Interpreter Lock
  • ●Multithreading and Thread Pools for Concurrent I/O Operations
  • ●Multiprocessing and Process Pools for Heavy Computational Tasks
  • ●Asynchronous Event-Driven Programming with Asyncio and Coroutines
  • ●Thread Safety, Synchronization Primitives, Locks, and Semaphores
6
Module 6

Testing & Debugging

Write reliable, testable, and production-grade code with automated test suites.

  • ●Unit Testing Standards with Python's Built-in Unittest Framework
  • ●Modern Test Automation with Pytest: Fixtures and Parametrization
  • ●Mocking External Dependencies, REST APIs, and Database Calls
  • ●Interactive Debugging with Breakpoints and Diagnostic Profilers
  • ●Static Code Analysis, Type Annotations, and Linting Best Practices
7
Module 7

Database Connectivity

Connect Python applications to SQL databases to build resilient, data-driven backends.

  • ●Connecting Python to Relational Databases like PostgreSQL, MySQL, and SQLite
  • ●Python Database API Standards and Connection Pool Management
  • ●Executing Secure CRUD Queries with Parameterized SQL
  • ●Transaction Control, Atomic Commits, and Rollback Safety
  • ●Object Relational Mapping Fundamentals with SQLAlchemy
8
Module 8

Capstone Project

Deliver a complete, portfolio-ready end-to-end automation or data pipeline project.

  • ●End-to-End System Design: Automated Extraction to Persistent Storage
  • ●Automated Data Ingestion from Live External REST APIs
  • ●Data Transformation, Validation, and Pipeline Processing with Pandas
  • ●Database Persistence, Query Indexing, and Structured Storage
  • ●Automated Pytest Coverage, Error Logging, and Portfolio Showcase
The Complete Journey

From Learning to Production

What You'll Gain

Advanced OOP mastery

multiple inheritance, MRO, magic methods, and scalable class hierarchies

Functional programming fluency

lambda functions, higher-order functions, custom decorators, and memory-efficient generators

Data handling expertise

professional data cleaning, transformation, and analysis with NumPy and Pandas

API & web integration

consume REST APIs, parse JSON payloads, manage sessions, and handle errors gracefully

Concurrency & async mastery

multithreading, multiprocessing, and asyncio for high-performance applications

Testing & debugging excellence

comprehensive test suites with pytest, mocks, and professional debugging techniques

Database engineering

connect Python to SQL databases with safe parameterized queries and transaction control

Portfolio-ready capstone project

build and showcase an end-to-end automated data pipeline or engineering application