smart_open
ramda
smart_open | ramda | |
---|---|---|
6 | 80 | |
3,091 | 23,584 | |
0.7% | 0.2% | |
8.3 | 6.8 | |
12 days ago | about 4 hours ago | |
Python | JavaScript | |
MIT License | MIT License |
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smart_open
- smart_open: Utils for streaming large files (S3, HDFS, gzip, bz2...)
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Use AWS to unzip all of Wikipedia in 10 minutes
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:
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Using AWS and Hyperscan to match regular expressions on 100GB of text
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.
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Ask HN: Codebases with great, easy to read code?
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
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How to open an s3 binary file in lambda using python open() function?
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.
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Fsspec: Filesystem Interfaces for Python
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
ramda
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Tacit Programming
JavaScript is great for point-free programming! Make sure you check out Ramda.js https://ramdajs.com/
It’s fun in the sense that solving a puzzle is fun, but I avoid it for anything I need to maintain long-term.
But it’s good practice for understanding combinators which is useful for some kinds of problems.
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Pipeline-Oriented Programming [video]
This is very cool. I remember I got sucked into things like Ramda going down this functional programming rabbit hole :-)
https://ramdajs.com/
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Level up your Typescript game, functionally - Part 2
To create our pipeline, I'm going to use the pipe function from the NodeJS ramda library instead of building my own.
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Level up your Typescript game, functionally - Part 3
Other libraries to check out are pratica and ramda
- Ramda: A practical functional library for JavaScript programmers
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FP and JavaScript/TypeScript
I recently took ownership of the new types/ramda repo. This repo is re-exported by @types/ramda and is the first step to bringing type definitions for ramda in-house. We're already hard at work correcting major issues, adding full currying support, and general bug fixes
- [AskJS] Auto-Generated Documentation from JSDoc comments, nice modern themes?
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When to use currying in JavaScript
I'm going to be honest. You probably don't need to use currying in JavaScript. In fact, trying to fit it in your code is going to do more harm than good, unless it's just for fun. Currying only becomes useful when you fully embrace functional programming, which, in JavaScript, means using a library like Ramda instead of the standard built-in functions.
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No Lodash
Lodash gets so many things wrong I’d rather not see it in most projects. I appreciate a good utility library for JS projects but my go-to choice has to be Ramda[1]. Every function it exports is curried and works great with pipe which enables me to write highly reusable and composable functions in pointfree notation. I have never been as productive with lodash, and I find the functional style easier to read
[1] https://ramdajs.com/
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Snap.js - A competitor to Lodash
Do note though that ramda is different from rambda. 👍 (Granted they are very similar!)
What are some alternatives?
s3fs - Amazon S3 filesystem for PyFilesystem2
lodash - A modern JavaScript utility library delivering modularity, performance, & extras.
Streamz - Real-time stream processing for python
Rambda - Faster and smaller alternative to Ramda
s3path - s3path is a pathlib extension for AWS S3 Service
RxJS
PyFilesystem2 - Python's Filesystem abstraction layer
immutable-js - Immutable persistent data collections for Javascript which increase efficiency and simplicity.
rxsci - ReactiveX for data science
fp-ts - Functional programming in TypeScript
fluvio-client-python - The Fluvio Python Client!
lazy.js - Like Underscore, but lazier