smart_open VS fluvio-client-python

We’re using smart_open, which is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem. It’s obviously critical that we’re able to seek to an arbitrary position in an S3 file without first downloading the whole thing. We’ll assume you’re using Poetry, but you should be able to follow along with any other package manager:

If you didn’t follow along with the first article in this series, you should be able to follow this article with your own dataset as long as you install smart_open and Meadowrun. smart_open is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem, and Meadowrun makes it easy to run your Python code on the cloud.

I see that you're primarily looking into Python work, so I'd recommend `smart_open` as a nice, compact way to get started.

https://github.com/RaRe-Technologies/smart_open

You want smart_open. It gives you a (more complete) file-like interface to many different storage systems, including s3. You can read and seek as needed.

See also smart_open: https://github.com/RaRe-Technologies/smart_open which might be more user-friendly? Never used it myself but it was on HN before. Discussion on their bugtracker: https://github.com/RaRe-Technologies/smart_open/issues/579

This week, we're happy to announce the addition of a Python client library for Fluvio. Using the Python client is just as easy as using our other clients. Check out the hello world in Python tutorial or documentation for usage.