lazerpay-rust-sdk
Panther
lazerpay-rust-sdk | Panther | |
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1 | 2 | |
16 | 213 | |
- | - | |
0.0 | 4.3 | |
about 2 years ago | over 1 year ago | |
Rust | Rust | |
MIT License | MIT License |
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lazerpay-rust-sdk
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Rust's Defender
So far, I’ve been reading the book “Zero to Production”, and I’ve had lots of fun working on the projects in it. I’ve also collaborated with other Rust developers on projects like Lazer Pay’s Rust SDK. I worked with Enochwho I met on the Rust Nigeria group chat. In fact, if the Rust Nigeria community hadn’t been created, I probably would have created it myself. A personal favourite of mine is the Thanos Project - a program that randomly deletes exactly half the number of files in a folder and I still have a couple of features I intend to add soon. That project taught me how to work with Rust’s documentation and I developed the notion, one I still hold, that all documentation should be like Rust’s. Another thing about Rust that makes me an unrepentant champion is the Rust philosophy, the philosophy that went into its design. The philosophy of “no breaking changes”, the compiler design, Just genius. I am not saying somewhere along the line we could not find something wrong, but, right now, it’s the closest thing to perfection in my opinion.
Panther
- Panther: A high performance Python technical analysis library written in Rust using PyO3 and rust-numpy. 9x faster than pandas alone!
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Man, I love this language.
I recently started learning rust and decided to make a python library with PyO3 and NDArray as a first project. With the name Panther, the library was supposed to be an implementation of stock technical indicators (EMA, SMA, RSI, Ect). I added a few functions, and decided to do some speed tests with the pandas way of calculating these indicators. I was shocked to see that my code was about 9x faster on average than pandas calculations. I know this is expected when using a low level language like rust in python, but I'm amazed none the less. Especially as someone new to rust, the fact I could get these "advertised" results with rust in python without having to do crazy optimizations is crazy to me. Plus, something about writing low-level code and getting these results in python is very satisfying. The best part though? The process to get these results wasn't even hard! The cargo packages I used had great documentation and the compiler?! Actually helpful! With reference material on errors too! Officially done geeking out about Rust haha but love this language and love this community. Hoping to get more involved with OS stuff. What project is everyone working on? Anything cool?
What are some alternatives?
ZenithTA - A high performance python technical analysis library written in Rust and the Numpy C API.
boing - A safe wrapper over libui-ng-sys.
CYFS - CYFS is the next-generation technology to build real Web3 by upgrading the basic protocol of Web (TCP/IP+DNS+HTTP),is short for CYberFileSystem. https://www.cyfs.com/, cyfs://cyfs/index_en.html.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
ethers-rs - Complete Ethereum & Celo library and wallet implementation in Rust. https://docs.rs/ethers
tendie-factory - Tendie-Factory is a work in progress application that seeks to track the stocks mentioned in the wallstreetbets subreddit.
holochain - The current, performant & industrial strength version of Holochain on Rust.
docs.rs - crates.io documentation generator
hyperswitch - An open source payments switch written in Rust to make payments fast, reliable and affordable
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
catalyst-core - ⚙️ Core Catalyst Governance Engine and utilities.