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Advanced Python Training Course

Course Overview

 

The Advanced Python Training Course is designed for students, graduates, and working professionals who want to strengthen their Python skills for automation, data handling, backend development, and real-world applications.

This course focuses on hands-on projects, industry-oriented concepts, and practical problem solving

 

Course Objectives

 

  • Understand and apply advanced Python concepts effectively

  • Develop efficient, reusable, and scalable Python programs

  • Implement object-oriented programming for real-world applications

  • Handle files, exceptions, and databases confidently

  • Build automation scripts to reduce manual effort

  • Work with APIs and data formats such as JSON and CSV

  • Apply multithreading and multiprocessing for performance optimization

  • Debug, test, and maintain Python applications

  • Develop project-oriented solutions aligned with industry requirements

 

Career Opportunities

 

  • Python Developer

  • Software Engineer

  • Backend Developer

  • Application Developer

  • Automation Engineer

  • Test Automation Engineer

 

Certification:

 

Participants will receive an Advanced Python Training Certificate upon successful completion of the course.

 

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What Will You Learn?

  • Write efficient and optimized Python code
  • Use functional programming techniques in Python
  • Handle files, exceptions, and logs professionally
  • Work with databases using Python
  • Build and consume REST APIs
  • Implement multithreading and multiprocessing
  • Automate real-world tasks using Python
  • Analyse and process data using Python libraries
  • Debug, test, and optimize Python applications

Course Content

Introduction to Advanced Python
Overview of Python applications, real-world use cases, advanced programming mindset, and industry expectations.

Advanced Data Structures
Deep dive into lists, tuples, sets, dictionaries, nested structures, and performance considerations.

Functional Programming in Python
Lambda functions, map, filter, reduce, list comprehensions, and functional programming techniques.

Object-Oriented Programming (Advanced)
Classes and objects, inheritance, polymorphism, abstraction, encapsulation, operator overloading, and best practices.

Exception Handling & Logging
Built-in and custom exceptions, error handling strategies, logging levels, and debugging techniques.

File Handling & Data Formats
Working with files, CSV, JSON, and text files; reading, writing, and data manipulation.

Modules, Packages & Virtual Environments
Creating modules and packages, pip usage, virtual environments, dependency management.

Multithreading & Multiprocessing
Threading vs multiprocessing, concurrency, synchronization, and performance optimization

Database Programming with Python
Python database connectivity, SQL operations, CRUD operations, and database integration basics.

API & Web Communication
REST API concepts, consuming APIs using Python, HTTP methods, and JSON handling.

Automation Using Python
File automation, system automation, task scheduling, and introduction to web automation.

Data Analysis Basics
Introduction to NumPy and Pandas, data cleaning, processing, and basic visualization.

Testing, Debugging & Optimization
Unit testing basics, debugging tools, code optimization, and best coding practices.

Mini Projects & Capstone Project
Hands-on projects, real-time problem solving, and final project for practical exposure.

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