Python: Intermediate

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Learning Format: Live Training

What will be Cover ?

Module 9 – Modules, Packages & Imports
  • Modules
  • Packages
  • init.py
  • Import Styles
  • Package Structuring
  • Naming Conventions
Module 10 – Object-Oriented Programming
  • Classes
  • Objects
  • Constructors
  • Instance vs Class Variables
  • Methods
  • Encapsulation
Module 11 – Inheritance & Composition
  • Inheritance Basics
  • Method Overriding
  • Multiple Inheritance
  • MRO (Method Resolution Order)
  • Composition Over Inheritance
Module 12 – Advanced Error Handling
  • Custom Exceptions
  • Exception Chaining
  • Error Propagation
  • Defensive Programming
Module 13 – File Handling & Serialization
  • Reading Files
  • Writing Files
  • Context Managers (with)
  • JSON
  • CSV
  • Configuration Files
Module 14 – Iterators, Generators & yield
  • Iterables vs Iterators
  • Generator Functions
  • yield Keyword
  • Lazy Evaluation
  • Performance Benefits
Module 15 – Database Basics
  • DB-API Overview
  • Connecting to Database
  • CRUD Operations
  • Transactions
  • Database Error Handling
Module 16 – HTTP & REST APIs
  • HTTP Basics
  • REST Principles
  • Building APIs (Flask Basics
  • FastAPI Basics)
  • JSON APIs
  • Status Codes
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Course Detail

The Python Intermediate course is designed for learners who already understand Python fundamentals and want to advance toward real-world application development. This course deepens programming knowledge while introducing powerful features that make Python versatile and industry-ready.

Students will explore object-oriented programming (OOP), including classes, inheritance, polymorphism, and encapsulation. The course also covers file handling, exception management, decorators, generators, lambda functions, and working with modules and packages.

Learners will gain practical experience with virtual environments, dependency management, and writing reusable, modular code. Introduction to APIs, JSON handling, database connectivity (SQLite/MySQL), and basic web development concepts using frameworks like Flask or Django will also be included.

By the end of this course, participants will be able to design structured Python applications, interact with databases and APIs, and build functional backend systems. This course prepares learners for advanced domains such as data science, automation, machine learning, and full-stack development.

It is ideal for students, junior developers, and professionals who want to strengthen their Python development skills and move toward industry-level projects.