Take Your Python Skills to the Next Level

Master advanced Python concepts, including data structures, OOP, multithreading, asynchronous programming, and data science libraries. Dive deep into best practices and powerful libraries for scalable and efficient coding.

Advanced Python Course

Description

Training Curriculum for Advanced Python Development

The Advanced Python course is designed for developers looking to enhance their programming skills. This course delves deeper into Python's capabilities, including advanced topics like multithreading, asynchronous programming, and working with data libraries such as NumPy and Pandas. Mastering these advanced concepts will prepare you to build scalable, high-performance applications, making you highly competitive in today’s tech industry.

This course includes

  • 40 hrs Instructor-Led Training & Hands-on Projects
  • Job Assistance
  • Mentor Support
  • Certificate of completion

Course Content

Introduction to Python

  • Overview of Python
  • History of Python
  • Features of Python
  • Installing Python and Setting Up Environment

Python Basics

  • Writing your first Python program
  • Data types, variables, and operators
  • Control structures (if, else, for, while loops)

Object-Oriented Programming in Python

  • Classes and Objects
  • Inheritance and Polymorphism
    • Method Overloading and Overriding
  • Encapsulation and Abstraction
    • Abstract Base Classes
    • Interfaces and Mixins

Advanced Python Data Structures

  • Lists, Tuples, Sets, and Dictionaries
  • Comprehensions (List, Set, and Dict)
  • Generators and Iterators
  • Lambda, Map, Filter, and Reduce Functions

Modules and Packages

  • Creating and Importing Modules
  • Python Packages and the Python Package Index (PyPI)
  • Virtual Environments and Dependency Management

Error Handling and Debugging

  • Exception Handling (try, except, finally)
  • Custom Exceptions
  • Logging and Debugging in Python

Working with Libraries and Frameworks

  • Using Popular Python Libraries (NumPy, Pandas, Matplotlib)
  • Introduction to Web Frameworks (Django, Flask)
  • Working with Databases in Python (SQLite, SQLAlchemy)

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