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ashwinvisIt took 10 days of on and off programming with <a href="https://mastodon.acc.sunet.se/tags/rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#rust</a> and <a href="https://mastodon.acc.sunet.se/tags/ndarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#ndarray</a> crate to solve <a href="https://mastodon.acc.sunet.se/tags/AdventOfCode" class="mention hashtag" rel="nofollow noopener" target="_blank">#AdventOfCode</a> day 4. It was bizzarely tough.NDarray is getting there (close to <a href="https://mastodon.acc.sunet.se/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#numpy</a>) but some key features like indexing using arrays and boolean masks was missing. Which made the implementation painful.<a href="https://codeberg.org/ashwinvis/advent-of-code/src/branch/main/2024/examples/day04.rs" rel="nofollow noopener" translate="no" target="_blank">https://codeberg.org/ashwinvis/advent-of-code/src/branch/main/2024/examples/day04.rs</a>Could it be better?

blussndarray 0.16 is released: <a href="https://github.com/rust-ndarray/ndarray/releases/tag/0.16.0" rel="nofollow noopener" translate="no" target="_blank">https://github.com/rust-ndarray/ndarray/releases/tag/0.16.0</a>A release has been needed for a long time to say the least, and it's a very big one too. I'm happy it's out.<a href="https://social.linux.pizza/tags/rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#rust</a> <a href="https://social.linux.pizza/tags/ndarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#ndarray</a>

Mo Bitar :ferris:<a href="https://fediscience.org/@smranaldi" class="u-url mention">@smranaldi</a> Coming from <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="tag">#Python</a> and <a href="https://fosstodon.org/tags/JuliaLang" class="mention hashtag" rel="tag">#JuliaLang</a>, I was annoyed at first by things like1 + 1.0which does not compile. You have to cast often, but you understand after a while why this is important to prevent any surprises!I missed Arrays in Julia (multidimensional). I needed a matrix but felt like it would be an overkill to use <a href="https://fosstodon.org/tags/ndarray" class="mention hashtag" rel="tag">#ndarray</a> for it. So I wrote my small matrix for fun. It was not hard! Next time I will try <a href="https://fosstodon.org/tags/ndarray" class="mention hashtag" rel="tag">#ndarray</a> if I need multidimensional arrays more often.2/4

てらモス🆓<a href="https://github.com/termoshtt/einsum-derive" rel="nofollow noopener" target="_blank">https://github.com/termoshtt/einsum-derive</a> <a href="https://mstdn.jp/tags/proc_macro" class="mention hashtag" rel="nofollow noopener" target="_blank">#proc_macro</a> based <a href="https://mstdn.jp/tags/einsum" class="mention hashtag" rel="nofollow noopener" target="_blank">#einsum</a> implementation for <a href="https://mstdn.jp/tags/rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#rust</a> <a href="https://mstdn.jp/tags/ndarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#ndarray</a>

Mo Bitar :ferris:<a href="https://fediscience.org/@smranaldi" class="u-url mention">@smranaldi</a> I have used Julia and would recommend it for this field. But I wanted to try Rust for numerical computations very soon. Check out <a href="https://fosstodon.org/tags/polars" class="mention hashtag" rel="tag">#polars</a>, <a href="https://fosstodon.org/tags/ndarray" class="mention hashtag" rel="tag">#ndarray</a> and <a href="https://fosstodon.org/tags/plotters" class="mention hashtag" rel="tag">#plotters</a>.

blussndarray 0.15 is finally released. 😓 <a href="https://docs.rs/ndarray/0.15" rel="nofollow noopener" target="_blank">https://docs.rs/ndarray/0.15</a>The following are some highlights, see the release note for the whole story.<a href="https://github.com/rust-ndarray/ndarray/blob/master/RELEASES.md#version-0150-2021-03-25" rel="nofollow noopener" target="_blank">https://github.com/rust-ndarray/ndarray/blob/master/RELEASES.md#version-0150-2021-03-25</a>- Inserting new axes while slicing- two-sided broadcasting for arithmetic operations - `.cell_view()- Improved `Array::uninit`Thanks to **jturner314**, **SparrowLii**, **xd009642**, **dam5h**, **insideoutclub** and **bluss** who contributed the changes for this release.<a href="https://mastodon.online/tags/rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#rust</a> <a href="https://mastodon.online/tags/ndarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#ndarray</a> <a href="https://mastodon.online/tags/rustsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#rustsci</a>

blussRust crate ndarray got a 0.14 release finally. Release note: <a href="https://github.com/rust-ndarray/ndarray/blob/master/RELEASES.md" rel="nofollow noopener" target="_blank">https://github.com/rust-ndarray/ndarray/blob/master/RELEASES.md</a> <a href="https://mastodon.online/tags/rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#rust</a> <a href="https://mastodon.online/tags/rustsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#rustsci</a> <a href="https://mastodon.online/tags/ndarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#ndarray</a>

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