“asyncio” provides asynchronous I/O in Python from "summary" of Fluent Python by Luciano Ramalho
Asynchronous I/O is a programming model that allows you to run multiple I/O-bound tasks concurrently within a single thread. This is especially useful for applications that spend a lot of time waiting for I/O operations to complete, such as network requests or reading from disk. Python's asyncio library provides a high-level interface for writing asynchronous code that is easy to read and maintain. With asyncio, you can define asynchronous functions using the async def syntax. These functions can contain await expressions, which allow the interpreter to pause the execution of the function while waiting for an I/O operation to complete. This allows other tasks to run ...
Similar Posts
Web development uses Python for building web applications
Python is a versatile programming language that is widely used in web development. One of the key reasons for its popularity is...
Security considerations protect system from threats
Security considerations are a crucial aspect of system design, as they play a fundamental role in safeguarding the system from ...
Analysis of resistive circuits
When analyzing resistive circuits, it is important to understand the basic principles that govern the flow of current and volta...
Algorithms are stepby-step procedures for solving problems
Algorithms are fundamental to computer science and the field of data structures and algorithms. They are essentially step-by-st...
Sequences can be sliced and accessed with indices
In Python, sequences such as lists and tuples can be sliced and accessed using indices. Slicing allows you to extract a portion...
Robots embody artificial intelligence in physical form
Robots are essentially machines that embody artificial intelligence in physical form. They are the product of human ingenuity a...
C is a powerful and flexible language
C is a language that emphasizes simplicity and clarity. Its syntax is straightforward and easy to understand, making it an idea...
Python can be used for scientific computing and data analysis
Python is known for its simplicity, which makes it an ideal choice for scientific computing and data analysis. Its clean and re...