Free Download The Complete Advanced Python Programming Course 2024Published 2/2024
Created by Hoang Quy La
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 64 Lectures ( 7h 16m ) | Size: 2.61 GB
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!
Who this course is for:
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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