Mailman 3 - NumPy-Discussion

Beginners
by Monkeysigh March 11, 2025

March 11, 2025

Do you know if beginners are invited to attend?

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next NumPy community meeting - June 5th, 2024 at 6 pm UTC
by Inessa Pawson March 10, 2025

March 10, 2025

The next NumPy community meeting will be held this Wednesday, June 5th at 6 pm UTC. Join us via Zoom: https://numfocus-org.zoom.us/j/83278611437?pwd=ekhoLzlHRjdWc0NOY2FQM0NPemdk… . Everyone is welcome and encouraged to attend. To add to the meeting agenda the topics you’d like to discuss, follow the link: https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both. For the notes from the previous meetings, visit: https://github.com/numpy/archive/tree/main/community_meetings. -- Cheers, Inessa Inessa Pawson GitHub: inessapawson

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ENH: Initilize Print Options from Environment Variables
by Daniel Bershatsky March 9, 2025

March 9, 2025

Dear NumPy Community, I would like to propose an enhancement to NumPy's print options that allows them to be initialized from environment variables. This would provide a more convenient way to configure array formatting without modifying source code. Background Currently, NumPy print options are initialized with default values and can be modified using numpy.set_printoptions() or the numpy.printoptions context manager. While effective, these approaches require explicit modifications to the … [View More]

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next Documentation team meeting
by Mukulika Pahari March 9, 2025

March 9, 2025

Hi all, Our next Documentation Team meeting will happen on *Monday, July 15* at *7PM UTC*. All are welcome - you don't need to already be a contributor to join. If you have questions or are curious about what we're doing, we'll be happy to meet you! If you wish to join on Zoom, use this (updated) link: https://numfocus-org.zoom.us/j/85016474448?pwd=TWEvaWJ1SklyVEpwNXUrcHV1YmFJQ... Here's the permanent hackmd document with the meeting notes (still being updated): https://hackmd.io/… [View More]

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Automatic binning for np.histogram
by Pieter Eendebak March 7, 2025

March 7, 2025

Hi everyone, For certain input arrays with small variation the method np.histogram with automatic binning can select an enormous amount of bins and return with an out-of-memory error. A minimal example: import numpy as np e = 1 + 1e-12 Z = [0,1,1,1,1,1,e,e,e,e,e,e, 2] np.histogram(Z, bins="auto") There is a proposal to change the automatic bin selection to avoid this: https://github.com/numpy/numpy/pull/28426. The aim is to keep close to the original algorithm, but avoid the out-of-memory … [View More]

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Add a bit_width function
by Carlos Martin March 7, 2025

March 7, 2025

Feature request: Add a `bit_width` function to NumPy's [bit-wise operations](https://numpy.org/doc/stable/reference/routines.bitwise.html) that computes the [bit-width](https://en.wikipedia.org/wiki/Bit-width) (also called bit-length) of an input. For an example, see C++'s [`bit_width`](https://en.cppreference.com/w/cpp/numeric/bit_width) function.

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next NumPy triage meeting - Wednesday, January 22nd, 2025 at 6 pm UTC
by Inessa Pawson March 2, 2025

March 2, 2025

The next NumPy triage meeting will be held this Wednesday, January 22nd at 18:00 UTC. As always, this is a meeting where we synchronously triage prioritized PRs and issues. Everyone is welcome to attend and contribute to a conversation. Join us via Zoom: https://numfocus-org.zoom.us/j/82096749952?pwd=MW9oUmtKQ1c3a2gydGk1RTdYUUVX… Please notify us of issues or PRs that you’d like to have reviewed by adding a GitHub link to them in the meeting agenda: https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg -- … [View More]

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Add a spectral_radius function
by Carlos Martin March 2, 2025

March 2, 2025

Add a function called `spectral_radius` that computes the [spectral_radius](https://en.wikipedia.org/wiki/Spectral_radius) of a given matrix. A naive way to do this is `np.max(np.abs(np.linalg.eigvals(a)))`, but there are more efficient methods.

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next NumPy Optimization Team meeting - Monday, January 20th, 2025 at 5 pm UTC
by Inessa Pawson Feb. 28, 2025

Feb. 28, 2025

Hi, all! The next NumPy Optimization Team meeting will be held on Monday, January 20th at 17:00 UTC. Join us via Zoom: https://numfocus-org.zoom.us/j/81261288210?pwd=iwV99tGSjR61RTGEERKM4QKxe46g… Everyone is welcome and encouraged to attend. To add to the meeting agenda the topics you’d like to discuss, follow the link: https://hackmd.io/dVdSlQ0TThWkOk0OkmGsmw?both For the notes from the previous meetings, visit: https://github.com/numpy/archive/tree/main/optim_team_meetings -- Cheers, … [View More]

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Compiled einsum path support
by gtoombs＠avidrone.com Feb. 27, 2025

Feb. 27, 2025

The Github issue tracker requested that I make a mailing list thread, so this is a cross-post of ENH#28394. einsum_path pre-analyzes the best contraction strategy for an Einstein sum; fine. einsum can accept that contraction strategy; also fine. I imagine that this works well in the case that there are very few, very large calls to einsum. Where this breaks down is the case where the input is smaller or the calls are more frequent, making the overhead of the Python side of einsum dominant … [View More]

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