Based on our record, Python seems to be a lot more popular than Apiary. While we know about 280 links to Python, we've tracked only 7 mentions of Apiary. 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.
Apiary.io — Collaborative design API with instant API mock and generated documentation (Free for unlimited API blueprints and unlimited users with one admin account and hosted documentation). - Source: dev.to / 3 months ago
As for the actual process of building the contract, what works well for me is using API Blueprint-style Markdown in a compatible tool like Apiary, which renders your content into Swagger-like documentation as you type. This way, I and others can mutually "live-scribe" the API contract as we discuss, and seeing it on-screen helps to get people on the same page (and sometimes highlight potential issues that would... Source: 11 months ago
Can design your own mock rest api using https://apiary.io/. Source: over 1 year ago
I use service apiary to generate a JSON response from the server:. - Source: dev.to / almost 2 years ago
The first big challenge you might face is which platform to use for your docs. Some simple projects just use the github wiki as a way to serve the documentation, which works well for simpler things, but the reality is that, for medium to large projects, such tools are far from being enough, so you'll probably have to resort to some other options such as Apiary, Read the Docs or even a combination of tools, such as... - Source: dev.to / over 2 years 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 / 3 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 / 4 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 / 4 months ago
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 / 4 months ago
When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago
Postman - The Collaboration Platform for API Development
Rust - A safe, concurrent, practical language
Apigee - Intelligent and complete API platform
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Django REST framework - Django REST framework is a toolkit for building web APIs.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible