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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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