That's actually a great argument for Nim[0]. Easy interop with C, native-speed performance, and a syntax very close to Python in both readability and how quickly you can get something working. Batteries included, automatic memory management without a conventional GC and metaprogramming - is a really cool combination. [0] - https://nim-lang.org/. - Source: Hacker News / about 2 months ago

Coincidentally, just a few days ago, I tried to run Nim[0] on Windows XP as an experiment. And to my surprise, the latest 32-bit release of Nim simply works out the box. But Nim compiles to C, so I also needed C compiler and all modern versions of mingw failed to launch. After some time I managed to find very old Mingw (gcc 4.7.1) that have finally worked [0]. [0] - https://nim-lang.org/ [1] -... - Source: Hacker News / 6 months ago

You can replace Python with Nim. It checks literally all your marks (expressive, fast, compiled, strong-typing). It's as concise as Python, and IMO, Nim syntax is even more flexible. https://nim-lang.org. - Source: Hacker News / 7 months ago

Have you tried Nim? Strong and static typed, versatile, compiles down to native code vía C, interops with C trivially, has macros and stuff to twist your brain if you're into that, and is trivially easy to get into. https://nim-lang.org. - Source: Hacker News / 7 months ago

If a script is simple - I use posix sh + awk, sed, etc. But if a script I write needs to use arrays, sets, hashtable or processes many files - I use Nim[0]. It's a compiled systems-programming language that feels like a scripting language: - Nim is easy to write and reads almost like a pseudocode. - Nim is very portable language, runs almost anywhere C can run (both compiler and programs). - `nim r script.nim` to... - Source: Hacker News / 7 months ago

This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 3 years ago

u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 4 years ago

Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago

I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago