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Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•31s ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•34s ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•1m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•2m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•3m ago•0 comments

Slint: Cross Platform UI Library

https://slint.dev/
1•Palmik•7m ago•0 comments

AI and Education: Generative AI and the Future of Critical Thinking

https://www.youtube.com/watch?v=k7PvscqGD24
1•nyc111•7m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•8m ago•0 comments

Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•12m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•12m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•13m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•16m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•16m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•17m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•17m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•18m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•20m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•21m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
3•jerpint•21m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•23m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
2•breadwithjam•26m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•26m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•27m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•29m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•29m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•29m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
3•vkelk•30m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•31m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•32m ago•0 comments

Would you use an e-commerce platform that shares transaction fees with users?

https://moondala.one/
1•HamoodBahzar•33m ago•1 comments
Open in hackernews

Show HN: Fast Thermodynamic Calculations in Python

https://dlr-institute-of-future-fuels.github.io/gaspype/
59•Saloc•7mo ago
I built gaspype, a Python library for fast thermodynamic calculations, like equilibrium reactions. It's lightweight, written in typed Python/Numpy, and comes with a large species database.

Gaspype operates on multidimensional arrays for composition, temperature and pressure. It is designed for a flat learning curve and compact syntax for pocket calculator-like use in Jupyter Notebooks, as well as high performance for integration in large physical models. One central goal is the portability to GPU frameworks like JAX or PyTorch for performance as well as direct integrability in ML pipelines.

Checkout the examples, I'd love to hear you feedback, use cases, or feature ideas.

Repo is located here: https://github.com/DLR-Institute-of-Future-Fuels/gaspype

Comments

2cynykyl•7mo ago
This looks really promising, thank you! I have been using chemicals for things like this but it is not good at multiple conditions so your approach will teally help me. Btw, there is no link to the repo on the docs psge, st least on my phone. I want to star your repo.
Saloc•7mo ago
Thank you! Repo is located here: https://github.com/DLR-Institute-of-Future-Fuels/gaspype
steppi•7mo ago
Very cool project. If you haven't already, for JAX and PyTorch support take a look at the Python Array API Standard, https://data-apis.org/array-api/latest/, and see https://data-apis.org/array-api-compat/ for how to use it. If you have or can write everything in terms of the subset of NumPy supported in the Array API Standard, you can get support for alternative array libraries almost for free.
Saloc•7mo ago
That looks like a valuable resource, thank you! I already mostly stuck to a subset supported by NumPy and JAX (because that's the array libraries I'm familiar with). I hope the other are not to far off...
baq•7mo ago

    import gaspype
I commend you for not wasting an opportunity to pick a great name for this package.
amelius•7mo ago
[oops]
fastasucan•7mo ago
This isnt built on pandas...
FilosofumRex•7mo ago
I use Aspen-Hysys which is extremely expensive for non-commercial users, and would love to have a Pythonic alternative.

That said, there's a long tail of features needed to make it practical (mole/mass/vol frac conversion, unit conversions, chemical Rxn, Steam tables etc.)

Saloc•7mo ago
I would say it depends on the application: For energy stuff, ideal gas + water/steam might be sufficient. Rolling a lightweight process simulation framework (e.g. on top of gaspype and pint) easily competes with the costs for an aspen license. For other applications, that requires solving multiple phases of mixtures, the tradeoff shift quite allot.
viapivov•7mo ago
Out of curiosity, why do you call your main entrypoint "fluid" if you only compute ideal gas properties?
Saloc•7mo ago
To avoid the discussion where around the critical point it is a gas or not a gas ;) Sure, for ideal gases it’s quite clear; however I’m looking for adding real gas behavior to capture high density supercritical fluids - being able to model high pressure processes. For example for the synthesis of hydrocarbons and chemical compound made from nitrogen and hydrogen.