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    The Complete Advanced Python Programming Course 2024

    Posted By: ELK1nG
    The Complete Advanced Python Programming Course 2024

    The Complete Advanced Python Programming Course 2024
    Published 2/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.73 GB | Duration: 7h 16m

    Metaclasses, Concurrency, Switching metaclasses, Thread synchronization, Queuing in concurrent programming

    What you'll learn

    Linked list

    List search

    Doubly linked list

    stack

    queue

    Object-oriented programming

    Multiple inheritance

    polymorphism

    Abstract base classes

    Encapsulation

    Map function

    Reduce function

    lambda function

    Higher-order function

    Immutable data

    recursion

    Error and exception

    Metaclasses

    Decorators

    Switching Metaclasses

    Concurrency

    Thread

    multi-threaded

    Thread synchronization

    Queuing in concurrent programming

    Multithreaded priority queue

    Requirements

    Basic Python Knowledge: Participants should have a solid understanding of fundamental Python concepts such as variables, data types, control flow statements (if-else, loops), functions, and basic data structures (lists, tuples, dictionaries).

    Description

    Welcome to the Complete Advanced Python Programming Course 2024! This comprehensive course is designed to take your Python skills to the next level and equip you with advanced techniques and concepts that are essential for professional Python developers in 2024.Whether you're an experienced Python programmer looking to deepen your understanding or a newcomer eager to accelerate your learning journey, this course has something for everyone. From mastering advanced data structures to exploring cutting-edge libraries and frameworks, you'll gain the knowledge and confidence to tackle complex projects and solve real-world problems with Python.What You'll Learn:Advanced Data Structures: Dive deep into advanced data structures such as sets and deque. You can learn how to leverage these data structures to optimize performance and efficiency in your Python programs.Functional Programming: Explore programming concepts such as lambda functions, map, filter, and reduce. Discover how functional programming can make your code more concise, readable, and maintainable.Object-Oriented Programming (OOP) Mastery: Take your OOP skills to the next level by mastering inheritance, polymorphism, encapsulation, and abstraction. Learn advanced techniques for designing scalable and modular Python applications.Concurrency and Parallelism: Explore concurrency and parallelism in Python using multithreading, multiprocessing, and asynchronous programming with async/await. I'd like you to discover how to write efficient and scalable concurrent programs to take advantage of modern hardware architectures.Why Enroll in This Course?Comprehensive Curriculum: Covering advanced topics and techniques essential for professional Python development.Hands-on Learning: Through practical exercises, you'll gain practical experience and build a strong portfolio.Expert Instruction: Learn from experienced Python developers who will guide you every step of the way.Career Advancement: Whether you're looking to advance your career, transition into a new role, or freelance as a Python developer, this course will provide you with the skills and confidence you need to succeed.Don't miss out on this opportunity to take your Python skills to the next level. Enroll now and unlock your full potential as a Python developer in 2024!

    Overview

    Section 1: Introduction

    Lecture 1 Course structure

    Lecture 2 How to make the most out of this course

    Lecture 3 Tool will be used in this course

    Section 2: Data Structures and Algorithms

    Lecture 4 What is list ?

    Lecture 5 what is Singly linked lists?

    Lecture 6 Singly Linked list implementation

    Lecture 7 Implementation of appending and getting size of list method

    Lecture 8 introduction and implementation of deleting nodes

    Lecture 9 List search and clearing the list

    Lecture 10 what is Doubly linked lists?

    Lecture 11 Doubly linked list implementation

    Lecture 12 Introduction to delete operations in Doubly Linked lists

    Lecture 13 implementation of deleting operations in Doubly Linked lists

    Lecture 14 Search operations in doubly linked list

    Lecture 15 Introduction to circular linked list

    Lecture 16 Implementation of append, delete and search method in circular linked

    Lecture 17 what is stack

    Lecture 18 what is push and pop operations in stack

    Lecture 19 stack implementation

    Lecture 20 what is queue

    Lecture 21 Queue Implementation

    Section 3: Object-Oriented Programming (OOP)

    Lecture 22 What is Object-Oriented Programming (OOP)

    Lecture 23 What is class

    Lecture 24 Class implementation

    Lecture 25 what is object in Object-oriented-programming

    Lecture 26 What is class inheritance

    Lecture 27 Class Inheritance implementation Part 1

    Lecture 28 Class Inheritance implementation Part 2

    Lecture 29 What is multiple inheritance

    Lecture 30 What is Polymorphism

    Lecture 31 what is Abstract base classes

    Lecture 32 What is Encapsulation

    Section 4: Functional Programming in python

    Lecture 33 What is functional programming in python

    Lecture 34 Implementation of first-class function

    Lecture 35 what is map functions

    Lecture 36 What is lambda functions

    Lecture 37 what is filter function

    Lecture 38 what is reduce function

    Lecture 39 what is higher-order functions

    Lecture 40 what is Immutable data

    Lecture 41 Generator expressions and generator functions

    Lecture 42 Introduction to recursion

    Section 5: Error Handling

    Lecture 43 What are Errors and Exceptions

    Lecture 44 Some common errors

    Lecture 45 How to resolve errors

    Section 6: Introduction to meta programming

    Lecture 46 What is metaprogramming

    Lecture 47 why is it important to learn metaprogramming?

    Lecture 48 What is Decorators?

    Lecture 49 what is Metaclasses?

    Lecture 50 deep dive into metaclasses

    Lecture 51 Introduction to Switching metaclasses

    Lecture 52 Extra example of Switching metaclasses

    Lecture 53 Implementation of inheritance

    Section 7: Introduction to concurrency

    Lecture 54 what is concurrency?

    Lecture 55 why is it important to learn concurrency?

    Lecture 56 What is thread?

    Lecture 57 How to create a new thread

    Lecture 58 introduction and implementation of multithreading

    Lecture 59 what is thread synchronization

    Lecture 60 Implementation of thread synchronization

    Lecture 61 what is Queuing in concurrent programming?

    Lecture 62 Implementation of Queuing in concurrent programming

    Lecture 63 what is Multithreaded priority queue

    Section 8: Thank you

    Lecture 64 Thank you

    Experienced Python Programmers: Professionals who already have some experience working with Python and want to deepen their knowledge and expertise in advanced topics and techniques.,Intermediate Python Developers: Individuals who have a good grasp of Python fundamentals but want to expand their skill set and tackle more complex programming challenges.,Computer Science Students: Students studying computer science or related fields who want to supplement their education with practical, hands-on experience in advanced Python programming concepts and applications.,Software Engineers: Engineers and developers working in software development who want to enhance their Python skills to build more efficient, scalable, and maintainable software solutions.,Anyone Interested in Python: Individuals with a passion for programming and a desire to learn advanced Python programming concepts and techniques for personal or professional growth.