Zipline Reviews

Python Reviews

Zipline mentions (18)

• We are engineers from Zipline, the largest autonomous delivery system on Earth. We’ve completed more than 550,000 deliveries and flown 40+ million miles in 3 continents. We also just did a cool video with Mark Rober. Ask us anything!

  We are Zipline, the world’s largest instant logistics and delivery system. Four years ago we did an AMA after we hit 15,000 commercial deliveries – we’ve done 500,000+ since then including in Rwanda, Ghana, the U.S., Japan, Kenya, Côte d'Ivoire, and Nigeria. Source: about 1 year ago

• Sergey Brin's Largest airship built in US since 1930s

  Yeah, I'd take an osprey or helicopter for that use case. People w/out infrastructure usually need things fast. Or maybe https://flyzipline.com/ which uses drones. - Source: Hacker News / about 2 years ago

• Why are Self Driving Cars a "Feasible" future, but not "Self Flying Planes"?

  There's some pretty cool stuff happening with unmanned planes, like Zipline or Wingtra. Source: about 2 years ago

• Humanitarian cruise missiles?

  See Zipline, they deliver meds to remote villages in Africa. Source: about 2 years ago

• Drone delivers lungs for transplant to Toronto hospital in world 1st, health network says

  Well this company has been operating for a while now (first saw the article in youtube) https://flyzipline.com/, and a google search shows a 90 mile range. Source: over 2 years 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 / 10 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