Imagine streaming your favorite 4K movie or playing high-speed online games with virtually no lag. That’s the promise of L4S: The need for speed and reliability in internet services is paramount. Enter RFC 9330, a groundbreaking document from the IETF that’s set to revolutionize how we experience the internet. This Low Latency, Low Loss, and … Read more
As a Python developer, you might have come across the concept of asynchronous programming. Asynchronous programming, or async I/O, is a concurrent programming design that has received dedicated support in Python, evolving rapidly from Python 3.4 through 3.7 and beyond. With async I/O, you can manage multiple tasks concurrently without the complexities of parallel programming, … Read more
As a Python developer, you might be familiar with lambda functions, which provide a simple and concise way to create anonymous functions. However, when it comes to asynchronous programming, you may wonder if it is possible to use async and await within lambda functions to create “async lambdas.” Currently, Python does not natively support async … Read more
If you’re like me, you’re using OpenAI API a lot in your Python code. So the natural question arises: “How to use OpenAI’s API asynchronously by issuing multiple requests at once?” I will give you my code for asynchronous OpenAI API requests for copy and paste below. But first, allow me to give you a … Read more
Asyncio Overview Asyncio is a Python library that allows you to write asynchronous code, providing an event loop, coroutines, and tasks to help manage concurrency without the need for parallelism.With asyncio, you can develop high-performance applications that harness the power of asynchronous programming, without running into callback hell or dealing with the complexity of threads. … Read more
As a Python developer, you may often deal with making HTTP requests to interact with APIs or to retrieve information from web pages. By default, these requests can be slow and block your program’s execution, making your code less efficient. This is where Python’s async requests come to the rescue. Asynchronous HTTP requests allow your … Read more
In Python, the async for construct allows you to iterate over asynchronous iterators, which yield values from asynchronous operations. You’ll use it when working with asynchronous libraries or frameworks where data fetching or processing happens asynchronously, such as reading from databases or making HTTP requests. The async for loop ensures that while waiting for data, … Read more
Python’s async and await are powerful features that enable you to write asynchronous code to improve the performance of your applications, particularly when dealing with I/O-bound and high-level structured network code. Async and await are used with coroutines, which are special functions that can pause and resume their execution at specific points. This allows multiple … Read more
Python Multiprocessing Fundamentals 🚀 Python’s multiprocessing module provides a simple and efficient way of using parallel programming to distribute the execution of your code across multiple CPU cores, enabling you to achieve faster processing times. By using this module, you can harness the full power of your computer’s resources, thereby improving your code’s efficiency. To … Read more
As a Python developer, you might have encountered the terms async and await, wondering what they are and how to use them in your projects. Async functions enable you to write concurrent code using the async/await syntax. This powerful duo allows you to perform multiple tasks simultaneously without blocking the execution of your code. 🛠️ … Read more
To speed up my code, I just decided to (finally) dive into Python’s async with statement. 🚀 In this article, you’ll find some of my learnings – let’s go! 👇 What Is Python Async With? Python’s async with statement is a way to work with asynchronous context managers, which can be really useful when dealing … Read more
I am currently running AutoGPT, a Python script, on an EC2 server via ssh. When my terminal closes the SSH session, I wondered: Does the Python terminate as well or does it run in the background? Here’s the short answer: When the SSH server closes the session, the active Python script running in the terminal … Read more