Advanced Python

Master Advanced Python Programming

Advanced Python focuses on building complex and efficient applications using Python.It includes object-oriented programming, web development, data handling, and working with popular libraries and frameworks. In this blog, we will explore Advanced Python with practical examples and step-by-step guidance to help you become a professional Python developer.
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Why Learn Advanced Python?

  1. Build professional and complex applications
  2. Work with web frameworks and databases
  3. Learn object-oriented programming in depth
  4. Enhance problem-solving and coding skills
  5. High demand for Python developers in web, AI, and data science

 

Advanced Python Curriculum

1. Object-Oriented Programming (OOP)

  • Classes and objects
  • Constructors and destructors
  • Inheritance
  • Polymorphism
  • Encapsulation and abstraction

2. File Handling (Advanced)

  • Working with multiple file types
  • CSV, JSON, and binary files

3. Exception Handling (Advanced)

  • Custom exceptions
  • Nested try-except
  • Best practices

4. Modules and Libraries

  • Python Standard Library
  • Popular libraries: os, sys, math, datetime
  • Third-party libraries: requests, pandas, numpy

5. Web Development

  • Introduction to Flask/Django
  • Routing, templates, and forms
  • Connecting with databases

6. Data Handling

  • Lists, dictionaries, sets, tuples advanced usage
  • Comprehensions (list, dict, set)
  • Generators and Iterators

7. Decorators and Context Managers

  • Function decorators
  • Class decorators
  • Using with statement

8. Multithreading and Multiprocessing

  • Creating threads and processes
  • Thread synchronization
  • Performance optimization

9. Advanced Topics

  • Regular expressions
  • Working with APIs
  • Introduction to GUI with Tkinter

Benefits of Learning Advanced Python

Build professional applications in web, automation, and data science

Master object-oriented programming and advanced concepts

Work efficiently with files, APIs, and databases

Improve problem-solving, design, and coding skills

High demand in IT, data science, AI, and automation industries

Prepares for Python frameworks like Django, Flask, Pandas, and NumPy

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