Authors published a paper in Biorxiv, they used SciPy in the study. Including #RRIDs will make this less ambiguous.
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #OpenScience #reproducibility
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #OpenScience #reproducibility
www.biorxiv.org
November 11, 2025 at 3:58 PM
Authors published a paper in Biorxiv, they used SciPy in the study. Including #RRIDs will make this less ambiguous.
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #OpenScience #reproducibility
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #OpenScience #reproducibility
Scipy is a phenomenal library. It's not every day that one can beat its performance by 1-2 orders of magnitude. Today is that day, though!
Must-read post if you care about any of:
- high performance Rust
- numerical methods
- how Rust can make Python faster
Must-read post if you care about any of:
- high performance Rust
- numerical methods
- how Rust can make Python faster
Take a look under the hood of the state of the art in grid interpolation in Rust and Python!
Come for the compile-time loop unrolling, stay for the profile-guided optimization!
jlogan.dev/blog/2025/11...
Come for the compile-time loop unrolling, stay for the profile-guided optimization!
jlogan.dev/blog/2025/11...
November 11, 2025 at 3:17 AM
Scipy is a phenomenal library. It's not every day that one can beat its performance by 1-2 orders of magnitude. Today is that day, though!
Must-read post if you care about any of:
- high performance Rust
- numerical methods
- how Rust can make Python faster
Must-read post if you care about any of:
- high performance Rust
- numerical methods
- how Rust can make Python faster
Take a look under the hood of the state of the art in grid interpolation in Rust and Python!
Come for the compile-time loop unrolling, stay for the profile-guided optimization!
jlogan.dev/blog/2025/11...
Come for the compile-time loop unrolling, stay for the profile-guided optimization!
jlogan.dev/blog/2025/11...
November 11, 2025 at 3:04 AM
Take a look under the hood of the state of the art in grid interpolation in Rust and Python!
Come for the compile-time loop unrolling, stay for the profile-guided optimization!
jlogan.dev/blog/2025/11...
Come for the compile-time loop unrolling, stay for the profile-guided optimization!
jlogan.dev/blog/2025/11...
Noise, matplotlib, and scipy, with coding assistance from Claude and Gemini. Happy to share if you don't mind the spaghetti code that the tool use implies: colab.research.google.com/drive/1bj9HK...
November 8, 2025 at 7:49 PM
Noise, matplotlib, and scipy, with coding assistance from Claude and Gemini. Happy to share if you don't mind the spaghetti code that the tool use implies: colab.research.google.com/drive/1bj9HK...
Nesse blog, o autor recriou a Figura 5. Primeiro ele pegou as coordenadas x-y informadas nos dados suplementares e sobrepôs ao gráfico original. Dá pra ver a origem da assimetria: poucos cliques distantes da diagonal, como esse no círculo 9 dos liberais.
Depois refez o mapa de calor.
Depois refez o mapa de calor.
November 8, 2025 at 1:54 PM
Nesse blog, o autor recriou a Figura 5. Primeiro ele pegou as coordenadas x-y informadas nos dados suplementares e sobrepôs ao gráfico original. Dá pra ver a origem da assimetria: poucos cliques distantes da diagonal, como esse no círculo 9 dos liberais.
Depois refez o mapa de calor.
Depois refez o mapa de calor.
I mean it’s a full turing-complete programming language with an extremely robust ecosystem and an incredible scientific/numeric programming set of libraries, so I’d say so
I haven’t used them much, but I’m led to understand that scipy and numpy are what folks reach for first these days
I haven’t used them much, but I’m led to understand that scipy and numpy are what folks reach for first these days
November 7, 2025 at 5:38 AM
I mean it’s a full turing-complete programming language with an extremely robust ecosystem and an incredible scientific/numeric programming set of libraries, so I’d say so
I haven’t used them much, but I’m led to understand that scipy and numpy are what folks reach for first these days
I haven’t used them much, but I’m led to understand that scipy and numpy are what folks reach for first these days
Version 1.17.0 of a-Shell is now avaibable on the AppStore.
- big change: Python has been upgraded to version 3.13
- (a-Shell only): now includes scipy, scikit-learn, seaborn...
- new command: rsync (a long requested command)
- tons of bug fixes: less, nnn, scp...
- big change: Python has been upgraded to version 3.13
- (a-Shell only): now includes scipy, scikit-learn, seaborn...
- new command: rsync (a long requested command)
- tons of bug fixes: less, nnn, scp...
November 6, 2025 at 7:04 AM
Version 1.17.0 of a-Shell is now avaibable on the AppStore.
- big change: Python has been upgraded to version 3.13
- (a-Shell only): now includes scipy, scikit-learn, seaborn...
- new command: rsync (a long requested command)
- tons of bug fixes: less, nnn, scp...
- big change: Python has been upgraded to version 3.13
- (a-Shell only): now includes scipy, scikit-learn, seaborn...
- new command: rsync (a long requested command)
- tons of bug fixes: less, nnn, scp...
Such a cool resource! Jupyter Everywhere is WebAssembly Jupyter environments with matplotlib, pandas, scikit learn and scipy. Born of a group trying to create environments for HS students to learn stats on Chromebooks, but incredibly widely useful! www.jupytereverywhere.org
Jupyter Everywhere
Jupyter for teaching, sharing, and exploring — everywhere.
www.jupytereverywhere.org
November 4, 2025 at 7:09 PM
Such a cool resource! Jupyter Everywhere is WebAssembly Jupyter environments with matplotlib, pandas, scikit learn and scipy. Born of a group trying to create environments for HS students to learn stats on Chromebooks, but incredibly widely useful! www.jupytereverywhere.org
@juniorjumbong.bsky.social explains a numerical approach to the Fourier Transform in Python, guiding readers step by step and highlighting what FFT functions in NumPy and SciPy actually compute.
Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide | Towards Data Science
What if the FFT functions in NumPy and SciPy don’t actually compute the Fourier transform you think they do?
towardsdatascience.com
November 2, 2025 at 12:34 AM
@juniorjumbong.bsky.social explains a numerical approach to the Fourier Transform in Python, guiding readers step by step and highlighting what FFT functions in NumPy and SciPy actually compute.
Authors published a paper in Biorxiv, they used SciPy in the study. Including #RRIDs will make this less ambiguous.
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #reproducibility #RRID
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #reproducibility #RRID
www.biorxiv.org
October 31, 2025 at 2:33 PM
Authors published a paper in Biorxiv, they used SciPy in the study. Including #RRIDs will make this less ambiguous.
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #reproducibility #RRID
SciScore made a table with this resource, see “Automated Services” module (download as csv, xml or #jats) #reproducibility #RRID
#qt https://fosstodon.org/@scipyindia/115460112850547870
Happy to talk about #nix in scipy online event.
😀❤️
#online #nix #Python #scipy #event #talk
Happy to talk about #nix in scipy online event.
😀❤️
#online #nix #Python #scipy #event #talk
SciPy India (@scipyindia@fosstodon.org)
Attached: 1 image We're excited to have Vivekanand as our next speaker! He'll dive into how Nix can transform Python dependency management—breaking free from venv limitations and enabling cross-ecosystem reproducibility. Talk: Nix for Python: Unleash Cross-Ecosystem Dependency Management Date: 29th October 2025 | Online | 2PM–4PM IST 📣 Help us spread the word by resharing this post with your network!
fosstodon.org
October 30, 2025 at 3:54 PM
Today, napari users can’t fully leverage Xarray’s labeled metadata, as slider names, units & dimensions often get out of sync. That’s changing. At SciPy 2025, napari, Xarray & CellProfiler devs began a collab to build true metadata-aware visualization across sciences.
earthmover.io/blog/scienti...
earthmover.io/blog/scienti...
Scientific Data Visualization with Xarray and Napari - Earthmover
Ian Hunt-Isaak Xarray Community Developer Tim Monko Neuroscience PhD & napari community manager This blog was also published on the xarray blog and the napari blog. TL;DR Making Napari and Xarray work...
earthmover.io
October 29, 2025 at 5:53 PM
Today, napari users can’t fully leverage Xarray’s labeled metadata, as slider names, units & dimensions often get out of sync. That’s changing. At SciPy 2025, napari, Xarray & CellProfiler devs began a collab to build true metadata-aware visualization across sciences.
earthmover.io/blog/scienti...
earthmover.io/blog/scienti...
🚀 Exciting news! The SciPy 2025 Proceedings are officially published:
👉 proceedings.scipy.org/2025
Huge thanks to the Proceedings Committee, @curvenote.com, Jim Weiss, all the authors, and reviewers who made this happen. 🙌
👉 proceedings.scipy.org/2025
Huge thanks to the Proceedings Committee, @curvenote.com, Jim Weiss, all the authors, and reviewers who made this happen. 🙌
Proceedings of SciPy 2025 - SciPy Proceedings
Proceedings of the Python in Science Conferences
proceedings.scipy.org
October 29, 2025 at 5:26 PM
🚀 Exciting news! The SciPy 2025 Proceedings are officially published:
👉 proceedings.scipy.org/2025
Huge thanks to the Proceedings Committee, @curvenote.com, Jim Weiss, all the authors, and reviewers who made this happen. 🙌
👉 proceedings.scipy.org/2025
Huge thanks to the Proceedings Committee, @curvenote.com, Jim Weiss, all the authors, and reviewers who made this happen. 🙌
Zehao Lu: Multi-Dimensional Wasserstein Distance Implementation in Scipy https://arxiv.org/abs/2510.23651 https://arxiv.org/pdf/2510.23651 https://arxiv.org/html/2510.23651
October 29, 2025 at 6:53 AM
Zehao Lu: Multi-Dimensional Wasserstein Distance Implementation in Scipy https://arxiv.org/abs/2510.23651 https://arxiv.org/pdf/2510.23651 https://arxiv.org/html/2510.23651
python-scipy 1.16.3-1 x86_64 Open-source software for mathematics, science, and engineering
Interest | Match | Feed
Interest | Match | Feed
Origin
archlinux.org
October 28, 2025 at 10:01 PM
python-scipy 1.16.3-1 x86_64 Open-source software for mathematics, science, and engineering
Interest | Match | Feed
Interest | Match | Feed
Origin
archlinux.org
October 28, 2025 at 10:01 PM
Alexandr Fonari, Farshad Fallah, Michael Rauch: Utilizing SciPy and other open source packages to provide a powerful API for materials manipulation in the Schr\"odinger Materials Suite https://arxiv.org/abs/2510.21756 https://arxiv.org/pdf/2510.21756 https://arxiv.org/html/2510.21756
October 28, 2025 at 6:47 AM
Alexandr Fonari, Farshad Fallah, Michael Rauch: Utilizing SciPy and other open source packages to provide a powerful API for materials manipulation in the Schr\"odinger Materials Suite https://arxiv.org/abs/2510.21756 https://arxiv.org/pdf/2510.21756 https://arxiv.org/html/2510.21756
Maybe not? But take BLAS: on my Mac, uv's numpy uses newaccelerate, which is significantly better than openblas, and also the best you can get from conda. But on this random Unix machine I'm connected to, uv's numpy uses scipy-openblas, and I can do better with a specialised implementation.
October 27, 2025 at 12:04 AM
Maybe not? But take BLAS: on my Mac, uv's numpy uses newaccelerate, which is significantly better than openblas, and also the best you can get from conda. But on this random Unix machine I'm connected to, uv's numpy uses scipy-openblas, and I can do better with a specialised implementation.
驚いた
numpy, scipy, scikit-kearn を使って1,800ファイルのデータ解析を行ったら、
14コア20スレッドのCore i7 12700H 64GBが爆音冷却ファン+ドライヤーのような排熱で頑張るより、
8コアのApple M1 16GB 無音+発熱無しが10倍以上高速だった。
numpy, scipy, scikit-kearn を使って1,800ファイルのデータ解析を行ったら、
14コア20スレッドのCore i7 12700H 64GBが爆音冷却ファン+ドライヤーのような排熱で頑張るより、
8コアのApple M1 16GB 無音+発熱無しが10倍以上高速だった。
October 25, 2025 at 3:12 AM
驚いた
numpy, scipy, scikit-kearn を使って1,800ファイルのデータ解析を行ったら、
14コア20スレッドのCore i7 12700H 64GBが爆音冷却ファン+ドライヤーのような排熱で頑張るより、
8コアのApple M1 16GB 無音+発熱無しが10倍以上高速だった。
numpy, scipy, scikit-kearn を使って1,800ファイルのデータ解析を行ったら、
14コア20スレッドのCore i7 12700H 64GBが爆音冷却ファン+ドライヤーのような排熱で頑張るより、
8コアのApple M1 16GB 無音+発熱無しが10倍以上高速だった。
SciPy India's third community call is coming up on 1 November 2025 — join us online!
Date: 01 November 2025
Time: 2PM–4PM IST
Where: Online
RSVP: fossunited.org/c/scipy-indi...
Help us spread the word by resharing with your network.
Follow us:
- Mastodon: fosstodon.org/@scipyindia
Date: 01 November 2025
Time: 2PM–4PM IST
Where: Online
RSVP: fossunited.org/c/scipy-indi...
Help us spread the word by resharing with your network.
Follow us:
- Mastodon: fosstodon.org/@scipyindia
October 23, 2025 at 6:24 AM
SciPy India's third community call is coming up on 1 November 2025 — join us online!
Date: 01 November 2025
Time: 2PM–4PM IST
Where: Online
RSVP: fossunited.org/c/scipy-indi...
Help us spread the word by resharing with your network.
Follow us:
- Mastodon: fosstodon.org/@scipyindia
Date: 01 November 2025
Time: 2PM–4PM IST
Where: Online
RSVP: fossunited.org/c/scipy-indi...
Help us spread the word by resharing with your network.
Follow us:
- Mastodon: fosstodon.org/@scipyindia
אין בscipy אפילו פונקציה ייעודית לרגרסיה לוגיסטית. יש בsklearn, אבל היא פרימיטיבית מדי בשבילי.
October 22, 2025 at 3:06 PM
אין בscipy אפילו פונקציה ייעודית לרגרסיה לוגיסטית. יש בsklearn, אבל היא פרימיטיבית מדי בשבילי.
באמת? אין ב-scipy פונקצייה מובנית לזה?
October 22, 2025 at 2:19 PM
באמת? אין ב-scipy פונקצייה מובנית לזה?
🚨 New paper! The @jupyterbook.org team just published a peer-reviewed paper in the SciPy Proceedings describing the design & architecture of Jupyter Book 2 and the MyST Document Engine!
📝 blog post: blog.jupyterbook.org/posts/2025-j...
📄 paper: proceedings.scipy.org/articles/hwc...
📝 blog post: blog.jupyterbook.org/posts/2025-j...
📄 paper: proceedings.scipy.org/articles/hwc...
Jupyter Book 2 and the MyST Document Stack - SciPy Proceedings
Jupyter Book allows researchers and educators to create books and knowledge bases that are reusable, reproducible, and interactive. This new foundation introduces a scalable way to publish…
proceedings.scipy.org
October 22, 2025 at 2:06 PM
🚨 New paper! The @jupyterbook.org team just published a peer-reviewed paper in the SciPy Proceedings describing the design & architecture of Jupyter Book 2 and the MyST Document Engine!
📝 blog post: blog.jupyterbook.org/posts/2025-j...
📄 paper: proceedings.scipy.org/articles/hwc...
📝 blog post: blog.jupyterbook.org/posts/2025-j...
📄 paper: proceedings.scipy.org/articles/hwc...