CircleCI VS Python

CircleCI Reviews

Python Reviews

CircleCI mentions (61)

• Most Useful CI/CD Tools for DevOps

  CircleCI is a leading cloud-native CI/CD platform that empowers developers to rapidly build, test, and deploy their applications at scale. It is highly configurable and has rich integrations and performance optimization tools. These features have made it a favorite among modern development teams seeking agility and speed. - Source: dev.to / about 1 month ago

• The Essential Guide to Internal Developer Platforms

  For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository. - Source: dev.to / about 2 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  CircleCI — Comprehensive free plan with all features included in a hosted CI/CD service for GitHub, GitLab, and BitBucket repositories. Multiple resource classes, Docker, Windows, Mac OS, ARM executors, local runners, test splitting, Docker Layer Caching, and other advanced CI/CD features. Free for up to 6000 minutes/month execution time, unlimited collaborators, 30 parallel jobs in private projects, and up to... - Source: dev.to / 3 months ago

• Supercharge Your Mobile Dev Skills: 10 Essential Tools for Max Efficiency

  CircleCI: Another popular CI/CD platform that offers powerful features and ease of use. - Source: dev.to / 4 months ago

• How to Get Preview Environments for Every Pull Request

  Preevy is designed to be easily run in CI/CD workflows, such as GH Actions, Circle CI and others. - Source: dev.to / 5 months ago

Python mentions (281)

• 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 / 3 days 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 / 3 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 / 4 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 / 5 months ago

• Building Fast APIs with FastAPI: A Comprehensive Guide

  FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 5 months ago