Master AsyncIO: Harness the Power of Asynchronous Programming in Python
Sub Category
- Programming Languages
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Objectives
- 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.
Pre Requisites
- 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.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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