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📓 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

📓 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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