Python | Программирование

📓 Python Concurrency with asyncio.

• Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python’s performance by applying a variety of concurrency techniques. You’ll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio’s APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

• Use coroutines and tasks alongside async/await syntax to run code concurrently;
• Build web APIs and make concurrency web requests with aiohttp;
• Run thousands of SQL queries concurrently;
• Create a map-reduce job that can process gigabytes of data concurrently;
• Use threading with asyncio to mix blocking code with asyncio code.

#Eng

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www.tg-me.com/in/Python | Программирование/com.Python_libr/96

6.31K viewsFeb 7, 2022 at 16:54

📓 Python Concurrency with asyncio.

• Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python’s performance by applying a variety of concurrency techniques. You’ll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio’s APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

• Use coroutines and tasks alongside async/await syntax to run code concurrently;
• Build web APIs and make concurrency web requests with aiohttp;
• Run thousands of SQL queries concurrently;
• Create a map-reduce job that can process gigabytes of data concurrently;
• Use threading with asyncio to mix blocking code with asyncio code.

#Eng

BY Python | Программирование