Azure DevOps Reviews

Python Reviews

Azure DevOps mentions (94)

• The State of .NET Tooling 2024

  So like, I remember. Like Visual Studio or Visual Studio .NET. They both used to be super expensive, but at one point there was a community edition. I know and like there's also Visual Studio Code but like I guess my question is like if I were to start like I'm just like I want to go build a Xamarin app right now like Is is there a cost to tooling if I were to build it like I know riders JetBrains so that you... - Source: dev.to / about 1 month ago

• Most Useful CI/CD Tools for DevOps

  Azure DevOps by Microsoft is an all-in-one CI/CD platform that features entire software delivery in one place. As the name suggests, it is more than just a CI/CD tool. - Source: dev.to / 2 months ago

• Unveiling CodiumAI PR-Agent: A Comparative Analysis Against GitHub Copilot for Pull Requests

  PR-Agent offers extensive pull request functionalities across various git providers: GitHub, GitLab, or Bitbucket, CodeCommit, Azure DevOps, Gerrit. - Source: dev.to / 6 months ago

• Crashing when loading up save

  Protip: Use a debugger like dnSpy or Visual studio to trace the source of error, by stepping the program line by line. You can restart with dnSpy attached. Source: 6 months ago

• Create Custom Colour Themes on VSCode

  When done with the installation, proceed to Azure to create an organization under which your extension will be published. On the Azure DevOps page, sign up by clicking Start free. To set it up faster you can Start free with GitHub. - Source: dev.to / 9 months ago

Python mentions (282)

• Choosing Between AIOHTTP and Requests: A Python HTTP Libraries Comparison

  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 / 7 days ago

• Marking macOS component packages available based on hardware platform type

  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 1 month ago

• Python String Formatting: A Comprehensive Guide to F-strings

  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

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  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 / 5 months ago

• A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices

  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