Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
It definitely increases my productivity.
Python might be a bit more popular than GitHub Copilot. We know about 282 links to it since March 2021 and only 218 links to GitHub Copilot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 16 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 2 months ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 6 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
It's 2024 and no AI copilot list would be complete without GitHub Copilot. - Source: dev.to / 9 days ago
At this point the sceptics amongst you might claim I'm wrong, and tell me about the fallacies of existing initiatives like Devin, and maybe even claim that even Devin and GitHub CoPilot at best are assistance tools for existing developers to make them more productive. - Source: dev.to / 10 days ago
You have probably heard about GitHub Co-pilot. It's an AI assistant that helps you code. There are a few AI coding assistants out there but most cost money to access from an IDE. But did you know you can run self-hosted AI models for free on your own hardware? All you need is a machine with a supported GPU. - Source: dev.to / 23 days ago
Devin isn't similar to other coding assistants like Copilot. While Copilot suggests lines of code, Devin can actually create entire programs by itself based on instructions. It's a game-changer. Imagine a world where intricate software applications materialize at the speed of thought. Devin possesses this very ability. It can churn out lines of clean, efficient code at an astonishing rate, leaving human... - Source: dev.to / about 1 month ago
Bow down to the undisputed ruler of version control: GitHub. With its suite of powerful features, including automated deployments via GitHub workflows, the AI-driven assistance of GitHub Copilot, and the proactive security patching from Dependabot, GitHub is at the forefront of development innovation. Much like Visual Studio Code is the preferred choice for coding, GitHub is the go-to platform for version control... - Source: dev.to / about 2 months ago
Rust - A safe, concurrent, practical language
TabNine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Codeium - Free AI-powered code completion for *everyone*, *everywhere*
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.