The Complete Advanced Python Programming Course 2024

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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.

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