| 1 - Installing Python and Setting Up Your Environment.mp4 | 22.7 MB | ||
| 10 - Basic AsyncIO Loop Example Code.mp4 | 12.4 MB | ||
| 10 - basic-loop.py | 409.6 B | ||
| 11 - The Event Loop Presentation.mp4 | 31.9 MB | ||
| 12 - Implementing a Custom Event Loop Code.mp4 | 14.9 MB | ||
| 12 - custom-event-loop.py | 512 B | ||
| 13 - AsyncAwait Syntax Presentation.mp4 | 39 MB | ||
| 14 - Writing and Running Simple Coroutines Code.mp4 | 11.7 MB | ||
| 14 - simple-coroutines.py | 307.2 B | ||
| 15 - Running Async Code Presentation.mp4 | 26.4 MB | ||
| 16 - Managing and Executing Multiple Coroutines Code.mp4 | 19.9 MB | ||
| 16 - multi-coroutines.py | 614.4 B | ||
| 17 - Task Management Presentation.mp4 | 24.7 MB | ||
| 18 - Creating and Managing AsyncIO Tasks Code.mp4 | 16.1 MB | ||
| 18 - manage-tasks.py | 409.6 B | ||
| 19 - AsyncIO for Network Programming Presentation.mp4 | 22.7 MB | ||
| 2 - How to Install Python 3 and Use Virtual Environments venv on Windows Article.html | 4 KB | ||
| 20 - Building an Asynchronous ClientServer Application Code.mp4 | 26.4 MB | ||
| 20 - client.py | 409.6 B | ||
| 20 - server.py | 614.4 B | ||
| 21 - AsyncIO with Databases Presentation.mp4 | 34.6 MB | ||
| 22 - Performing Asynchronous Database Operations Code.mp4 | 32.6 MB | ||
| 22 - database.py | 1.1 KB | ||
| 22 - test.db | 8 KB | ||
| 23 - Integrating AsyncIO with Synchronous Code Presentation.mp4 | 22.1 MB | ||
| 24 - Mixing Async and Sync Code Safely Code.mp4 | 14.2 MB | ||
| 24 - async-with-nonasync.py | 409.6 B | ||
| 25 - Exploring AsyncIOs Internal Mechanisms Code.mp4 | 24.1 MB | ||
| 25 - internal.py | 921.6 B | ||
| 26 - Testing AsyncIO Applications Presentation.mp4 | 45.8 MB | ||
| 27 - Writing Tests for AsyncIO Applications Code.mp4 | 13.5 MB | ||
| 27 - async-app.py | 102.4 B | ||
| 27 - test-async-app.py | 204.8 B | ||
| 28 - Performance and Debugging Presentation.mp4 | 17.8 MB | ||
| 29 - Profiling and Debugging AsyncIO Applications Code.mp4 | 30 MB | ||
| 29 - debugging-applications.py | 716.8 B | ||
| 3 - How to Install Python 3 and Use Virtual Environments venv on linux Article.html | 3.8 KB | ||
| 30 - Extra Content Creating Logger class using logging library Code.mp4 | 20.8 MB | ||
| 31 - Building a Web Scraper with AsyncIO and aiohttp Presentation.mp4 | 32.7 MB | ||
| 32 - Implementing an Asynchronous Web Scraper Code.mp4 | 17.9 MB | ||
| 32 - web-scraper.py | 614.4 B | ||
| 33 - Developing an Asynchronous Chat Application Code.mp4 | 41.4 MB | ||
| 33 - client.py | 921.6 B | ||
| 33 - server.py | 1.2 KB | ||
| 34 - AsyncIO with Modern Web Frameworks Presentation.mp4 | 22.5 MB | ||
| 35 - Using AsyncIO with FastAPI for Web Development Code.mp4 | 23.7 MB | ||
| 35 - fastapi-with-asyncio.py | 409.6 B | ||
| 36 - Future of AsyncIO and Asynchronous Programming in Python.html | 4.6 KB | ||
| 37 - Review and Key Takeaways.mp4 | 14 MB | ||
| 4 - How to Install Python 3 and Use Virtual Environments venv on Mac Article.html | 4.2 KB | ||
| 5 - Installing Pycharm Article.html | 2.7 KB | ||
| 6 - Functions in Python Definition and Usage.mp4 | 15.9 MB | ||
| 6 - python-functions.py | 1.2 KB | ||
| 7 - Modules and Packages Organizing Code.mp4 | 13 MB | ||
| 7 - import-statements.py | 1.1 KB | ||
| 8 - Understanding Python Classes and Objects.mp4 | 23.6 MB | ||
| 8 - python-classes.py | 1.4 KB | ||
| 9 - Understanding Asynchronous Programming Presentation.mp4 | 11.4 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 60 total files | |||
From Zero To Async: A Complete Guide To Asyncio In Python
https://DevCourseWeb.com
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 740.65 MB | Duration: 3h 15m
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.
Requirements
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.
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