From Zero to Async: A Complete Guide to AsyncIO in Python

Focused View

‪Idan Chen‬‏

3:11:24

4 View

1 - Getting Started with Python

1 - Installing Python and Setting Up Your Environment.mp4

03:27

2 - How to Install Python 3 and Use Virtual Environments venv on Windows Article.html

3 - How to Install Python 3 and Use Virtual Environments venv on linux Article.html

4 - How to Install Python 3 and Use Virtual Environments venv on Mac Article.html

5 - Installing Pycharm Article.html

2 - Python Programming Foundations

6 - Functions in Python Definition and Usage.mp4

05:05

6 - python-functions.zip

7 - Modules and Packages Organizing Code.mp4

03:36

7 - import-statements.zip

8 - Understanding Python Classes and Objects.mp4

06:24

8 - python-classes.zip

3 - Introduction to Asynchronous Programming

9 - Understanding Asynchronous Programming Presentation.mp4

03:17

10 - Basic AsyncIO Loop Example Code.mp4

04:14

10 - basic-loop.zip

11 - The Event Loop Presentation.mp4

05:01

12 - Implementing a Custom Event Loop Code.mp4

05:27

12 - custom-event-loop.zip

4 - AsyncIO Fundamentals

13 - AsyncAwait Syntax Presentation.mp4

05:56

14 - Writing and Running Simple Coroutines Code.mp4

04:45

14 - simple-coroutines.zip

15 - Running Async Code Presentation.mp4

06:28

16 - Managing and Executing Multiple Coroutines Code.mp4

05:56

16 - multi-coroutines.zip

17 - Task Management Presentation.mp4

06:28

18 - Creating and Managing AsyncIO Tasks Code.mp4

05:39

18 - manage-tasks.zip

5 - Working with AsyncIO

19 - AsyncIO for Network Programming Presentation.mp4

06:45

20 - Building an Asynchronous ClientServer Application Code.mp4

09:05

20 - client.zip

20 - server.zip

21 - AsyncIO with Databases Presentation.mp4

08:15

22 - Performing Asynchronous Database Operations Code.mp4

10:21

22 - database.zip

22 - test.zip

23 - Integrating AsyncIO with Synchronous Code Presentation.mp4

05:14

24 - Mixing Async and Sync Code Safely Code.mp4

05:19

24 - async-with-nonasync.zip

6 - Advanced Topics in AsyncIO

25 - Exploring AsyncIOs Internal Mechanisms Code.mp4

08:03

25 - internal.zip

26 - Testing AsyncIO Applications Presentation.mp4

05:54

27 - Writing Tests for AsyncIO Applications Code.mp4

04:53

27 - async-app.zip

27 - test-async-app.zip

28 - Performance and Debugging Presentation.mp4

03:56

29 - Profiling and Debugging AsyncIO Applications Code.mp4

07:17

29 - debugging-applications.zip

30 - Extra Content Creating Logger class using logging library Code.mp4

04:55

7 - Realworld Projects with AsyncIO

31 - Building a Web Scraper with AsyncIO and aiohttp Presentation.mp4

05:00

32 - Implementing an Asynchronous Web Scraper Code.mp4

05:58

32 - web-scraper.zip

33 - Developing an Asynchronous Chat Application Code.mp4

12:48

33 - client.zip

33 - server.zip

34 - AsyncIO with Modern Web Frameworks Presentation.mp4

05:17

35 - Using AsyncIO with FastAPI for Web Development Code.mp4

07:07

35 - fastapi-with-asyncio.zip

8 - Course Conclusion and Next Steps

36 - Future of AsyncIO and Asynchronous Programming in Python.html

37 - Review and Key Takeaways.mp4

03:34

Description

Master AsyncIO: Harness the Power of Asynchronous Programming in Python

What You'll Learn?

Core concepts of asynchronous programming and how they apply in Python.
The mechanics of the event loop in Python's AsyncIO library.
How to write, run, and manage asynchronous code using the async/await syntax.
Techniques for efficiently managing tasks and utilizing concurrency with AsyncIO.
Building and handling asynchronous network applications, including clients and servers.
Strategies for integrating asynchronous database operations into Python applications.
Mixing synchronous and asynchronous code effectively and safely.
Debugging and optimizing asynchronous Python applications for better performance.
Real-world applications of AsyncIO, including web scraping and chat applications.
Best practices for using AsyncIO in production environments.

Who is this for?

Python developers seeking to improve the performance of their applications.

Programmers interested in asynchronous programming and concurrency.

Software engineers aiming to build scalable network applications.

Data scientists looking to optimize data processing tasks.

Backend developers wanting to master AsyncIO for web development.

Tech enthusiasts curious about the latest in Python programming techniques.

What You Need to Know?

Basic understanding of Python programming language and syntax.

Familiarity with core programming concepts such as functions and loops.

Experience with using and managing Python environments and packages.

Access to a computer with Python installed (Python 3.6 or later recommended).

An editor or IDE for writing and executing Python code.

A willingness to learn about concurrent programming patterns and practices.

More details

Description
Unlock the Full Potential of Asynchronous Programming in Python!
Welcome to "Mastering AsyncIO in Python," the comprehensive guide to mastering asynchronous programming to elevate your Python projects. Asynchronous programming is a powerful paradigm that allows your applications to be more efficient, scalable, and responsive. This course is designed to take you from the basics of AsyncIO, through to advanced techniques and real-world applications, providing you with the knowledge and skills to leverage the full potential of Python's asynchronous programming capabilities.

What You Will Learn:
Foundational Concepts: Understand the principles of asynchronous programming and how it compares to traditional synchronous and multithreaded approaches.
Event Loop Mastery: Dive deep into the event loop, the core of AsyncIO, learning how to write, run, and manage asynchronous code efficiently.
Async/Await Syntax: Get hands-on experience with the async/await syntax, the modern way to write asynchronous code in Python.
Concurrency Techniques: Explore how to manage multiple tasks and operations concurrently, optimizing your applications for performance and speed.
Real-World Applications: Apply your knowledge to build practical, real-world applications, including networked programs, database integrations, and web scraping tools.
Debugging and Optimization: Learn how to debug and profile asynchronous Python applications, identifying bottlenecks and optimizing performance.
Production Best Practices: Discover best practices for writing maintainable and scalable asynchronous code that's ready for production.

Who Is This Course For?
Python Developers: Programmers with a basic understanding of Python looking to explore the advanced capabilities of asynchronous programming.
Software Engineers: Professionals aiming to build high-performance and scalable applications with Python.
Data Scientists: Individuals interested in leveraging concurrency for efficient data processing and analysis.
Backend Developers: Engineers focusing on server-side development who want to master AsyncIO for web applications.
Tech Enthusiasts: Anyone curious about modern programming techniques and looking to stay ahead in the fast-evolving world of Python programming.

Course Prerequisites:
Basic knowledge of Python programming.
Understanding of core programming concepts such as loops and functions.
An environment for writing and executing Python code.

Why Choose This Course?
"Mastering AsyncIO in Python" is meticulously crafted with a blend of theoretical knowledge, practical exercises, and real-world examples, ensuring you gain a holistic understanding of asynchronous programming. By the end of this course, you'll be proficient in writing efficient, non-blocking Python code that can handle multiple I/O-bound tasks concurrently, making your applications faster and more responsive.

Embark on this journey to become an AsyncIO expert and transform how you write Python applications. Enroll now and unlock the asynchronous power of Python!
Who this course is for:
Python developers seeking to improve the performance of their applications.
Programmers interested in asynchronous programming and concurrency.
Software engineers aiming to build scalable network applications.
Data scientists looking to optimize data processing tasks.
Backend developers wanting to master AsyncIO for web development.
Tech enthusiasts curious about the latest in Python programming techniques.

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Python

‪Idan Chen‬‏

Instructor's Courses

Hello, I'm Idan Chen, a data scientist, and lead researcher based in Israel. I hold a Bachelor's degree in Computer Science and have gained several years of experience working with data, including over 6 years of expertise using Python. Through my work, I have gained extensive knowledge of both SQL and NoSQL database systems and have a deep understanding of libraries such as Pandas.One of my greatest joys is guiding and teaching others. Over the years, I have had the privilege of helping both individuals and companies to learn more about Python and SQL, providing guidance on concepts and best practices. I am passionate about sharing my knowledge and experience with others and firmly believe that anyone can become a successful data scientist with the right tools and guidance.Whether you're seeking to improve your data analysis skills, gain more knowledge about machine learning, or dive deeper into Python and SQL, I am here to help. As an instructor at Udemy, I am committed to providing students with the necessary tools to achieve their goals and succeed. I am thrilled to share my expertise with you and help you reach your full potential in the field of data science.

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