Learn Python as Expert

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About Course

This comprehensive program is designed to take your Python skills to the next level and transform you into an accomplished Python developer with an expert-level understanding of the language and its applications. Whether you are a seasoned programmer or a newcomer to the world of Python, this course will equip you with the knowledge and hands-on experience to excel in diverse Python projects and tackle complex challenges.

Course Objectives: In this course, we aim to achieve the following objectives:

  1. Advanced Python Concepts: We will delve into the advanced concepts of Python programming, exploring topics like decorators, generators, metaclasses, context managers, and more. Understanding these advanced features will enable you to write sophisticated and efficient Python code.
  2. Data Structures and Algorithms: You will learn how to implement and work with fundamental data structures such as linked lists, stacks, queues, trees, and graphs. Additionally, we will cover various algorithmic techniques, enabling you to design optimized solutions to computational problems.
  3. Object-Oriented Programming (OOP): We will deep dive into object-oriented programming principles, inheritance, polymorphism, and design patterns. You will gain expertise in writing modular and maintainable Python code using OOP concepts.
  4. Python Standard Library and Modules: Familiarity with the Python Standard Library is crucial for every expert Python developer. We will explore essential modules, such as os, sys, datetime, collections, and more, to enhance your productivity and code efficiency.
  5. File Handling and Data Manipulation: You will master reading and writing files, parsing different data formats like CSV, JSON, and XML, and working with databases using Python libraries like SQLite and SQLAlchemy.
  6. Web Development with Flask/Django: Discover the world of web development using Python with popular frameworks like Flask or Django. You will learn how to build dynamic web applications, handle HTTP requests, and interact with databases.
  7. Asynchronous Programming: Dive into asynchronous programming using asyncio, learning how to write efficient, non-blocking, and concurrent code to enhance performance in I/O-bound applications.
  8. Testing and Debugging: A crucial aspect of software development is testing and debugging. You will gain proficiency in writing unit tests, understanding debugging techniques, and ensuring code quality.
  9. Python Best Practices and Performance Optimization: Explore coding standards, industry best practices, and techniques for optimizing Python code for better performance.
  10. Real-World Projects: Throughout the course, you will work on several hands-on projects that mimic real-world scenarios, allowing you to apply your knowledge and skills to solve practical problems.
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Course Content

Course Student Decks

  • Introduction to Python
    03:03
  • Identifiers
    02:30
  • Flow Control
    02:20
  • Data Types and Operators
    05:42
  • Pattern Matching and Regular Expression
    03:56
  • Decision Making Statements
    06:57
  • Functions
    06:47
  • Modules and Packages
    03:45
  • Object Oriented Programming
    04:27
  • OOPs Concept Implementations
    03:56
  • File Handling
    02:51
  • Libraries
    05:53

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