https://b.hatena.ne.jp/igrep/NumPy/ NumPyに関するigrepのはてなブックマーク (6) https://github.com/dupontcyborg/numpy-ts igrep 2026-03-14T07:08:59Z typescript 数学 numpy <blockquote cite="https://github.com/dupontcyborg/numpy-ts" title="GitHub - dupontcyborg/numpy-ts: Full NumPy, in TypeScript/JavaScript (94% coverage)"><cite><img src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fgithub.com%2Fdupontcyborg%2Fnumpy-ts" alt="" /> <a href="https://github.com/dupontcyborg/numpy-ts">GitHub - dupontcyborg/numpy-ts: Full NumPy, in TypeScript/JavaScript (94% coverage)</a></cite><p><a href="https://github.com/dupontcyborg/numpy-ts"><img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/a67097c15c8b158d7292ca36d894fa49dffc59a9/backend=imagemagick;height=90;version=1;width=120/https%3A%2F%2Fopengraph.githubassets.com%2Fd43ffb1032e431c9f4d99e4db1ccda97b8946f2a3a04388260f07ffb1f797774%2Fdupontcyborg%2Fnumpy-ts" alt="GitHub - dupontcyborg/numpy-ts: Full NumPy, in TypeScript/JavaScript (94% coverage)" title="GitHub - dupontcyborg/numpy-ts: Full NumPy, in TypeScript/JavaScript (94% coverage)" class="entry-image" /></a></p><p>import * as np from &#39;numpy-ts&#39;; // Array creation with dtype support const A = np.array([[1, 2], [3, 4]], &#39;float32&#39;); const B = np.ones([2, 2], &#39;int32&#39;); // Broadcasting and chained operations const result = A.add(5).multiply(2); // Linear algebra const C = A.matmul(B); const trace = A.trace(); /...</p><p><a href="https://b.hatena.ne.jp/entry/s/github.com/dupontcyborg/numpy-ts"><img src="https://b.hatena.ne.jp/entry/image/https://github.com/dupontcyborg/numpy-ts" alt="はてなブックマーク - GitHub - dupontcyborg/numpy-ts: Full NumPy, in TypeScript/JavaScript (94% coverage)" title="はてなブックマーク - GitHub - dupontcyborg/numpy-ts: Full NumPy, in TypeScript/JavaScript (94% coverage)" border="0" style="border: none" /></a> <a href="https://b.hatena.ne.jp/entry/s/github.com/dupontcyborg/numpy-ts"><img src="https://b.st-hatena.com/images/append.gif" border="0" alt="はてなブックマークに追加" title="はてなブックマークに追加" /></a></p></blockquote> 3 https://medium.com/@alsadi/moving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b NumPyすごいなぁ igrep 2023-03-25T09:40:54Z webassembly Python NumPy <blockquote cite="https://medium.com/@alsadi/moving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b" title="Moving hot loops from Python to WASM won’t be feasible without this trick"><cite><img src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fmedium.com%2F%40alsadi%2Fmoving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b" alt="" /> <a href="https://medium.com/@alsadi/moving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b">Moving hot loops from Python to WASM won’t be feasible without this trick</a></cite><p><a href="https://medium.com/@alsadi/moving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b"><img src="" alt="Moving hot loops from Python to WASM won’t be feasible without this trick" title="Moving hot loops from Python to WASM won’t be feasible without this trick" class="entry-image" /></a></p><p></p><p><a href="https://b.hatena.ne.jp/entry/s/medium.com/@alsadi/moving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b"><img src="https://b.hatena.ne.jp/entry/image/https://medium.com/@alsadi/moving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b" alt="はてなブックマーク - Moving hot loops from Python to WASM won’t be feasible without this trick" title="はてなブックマーク - Moving hot loops from Python to WASM won’t be feasible without this trick" border="0" style="border: none" /></a> <a href="https://b.hatena.ne.jp/entry/s/medium.com/@alsadi/moving-hot-loops-from-python-to-wasm-wont-be-feasible-without-this-trick-65c9bd2dbe1b"><img src="https://b.st-hatena.com/images/append.gif" border="0" alt="はてなブックマークに追加" title="はてなブックマークに追加" /></a></p></blockquote> 1 https://github.com/ansi-code/numts igrep 2023-02-28T22:57:41Z typescript numpy webassembly <blockquote cite="https://github.com/ansi-code/numts" title="GitHub - ansi-code/numts: NumTs is a TypeScript library that provides a set of mathematical functions and data structures that aim to reproduce some of the functionalities of NumPy, a popular Python library for numerical computing. NumTs is designed for d"><cite><img src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fgithub.com%2Fansi-code%2Fnumts" alt="" /> <a href="https://github.com/ansi-code/numts">GitHub - ansi-code/numts: NumTs is a TypeScript library that provides a set of mathematical functions and data structures that aim to reproduce some of the functionalities of NumPy, a popular Python library for numerical computing. NumTs is designed for d</a></cite><p><a href="https://github.com/ansi-code/numts"><img src="" alt="GitHub - ansi-code/numts: NumTs is a TypeScript library that provides a set of mathematical functions and data structures that aim to reproduce some of the functionalities of NumPy, a popular Python library for numerical computing. NumTs is designed for d" title="GitHub - ansi-code/numts: NumTs is a TypeScript library that provides a set of mathematical functions and data structures that aim to reproduce some of the functionalities of NumPy, a popular Python library for numerical computing. NumTs is designed for d" class="entry-image" /></a></p><p></p><p><a href="https://b.hatena.ne.jp/entry/s/github.com/ansi-code/numts"><img src="https://b.hatena.ne.jp/entry/image/https://github.com/ansi-code/numts" alt="はてなブックマーク - GitHub - ansi-code/numts: NumTs is a TypeScript library that provides a set of mathematical functions and data structures that aim to reproduce some of the functionalities of NumPy, a popular Python library for numerical computing. NumTs is designed for d" title="はてなブックマーク - GitHub - ansi-code/numts: NumTs is a TypeScript library that provides a set of mathematical functions and data structures that aim to reproduce some of the functionalities of NumPy, a popular Python library for numerical computing. NumTs is designed for d" border="0" style="border: none" /></a> <a href="https://b.hatena.ne.jp/entry/s/github.com/ansi-code/numts"><img src="https://b.st-hatena.com/images/append.gif" border="0" alt="はてなブックマークに追加" title="はてなブックマークに追加" /></a></p></blockquote> 1 https://qiita.com/termoshtt/items/efc9ecd4ca2e777b149e igrep 2017-09-22T11:29:02Z Python numpy Rust <blockquote cite="https://qiita.com/termoshtt/items/efc9ecd4ca2e777b149e" title="RustでNumPyを拡張する - Qiita"><cite><img src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fqiita.com%2Ftermoshtt%2Fitems%2Fefc9ecd4ca2e777b149e" alt="" /> <a href="https://qiita.com/termoshtt/items/efc9ecd4ca2e777b149e">RustでNumPyを拡張する - Qiita</a></cite><p><a href="https://qiita.com/termoshtt/items/efc9ecd4ca2e777b149e"><img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/67240b7747e8e789a7addfc2ab62f1e81c9d244f/backend=imagemagick;height=90;version=1;width=120/https%3A%2F%2Fqiita-user-contents.imgix.net%2Fhttps%253A%252F%252Fqiita-user-contents.imgix.net%252Fhttps%25253A%25252F%25252Fcdn.qiita.com%25252Fassets%25252Fpublic%25252Farticle-ogp-background-afbab5eb44e0b055cce1258705637a91.png%253Fixlib%253Drb-4.0.0%2526w%253D1200%2526blend64%253DaHR0cHM6Ly9xaWl0YS11c2VyLXByb2ZpbGUtaW1hZ2VzLmltZ2l4Lm5ldC9odHRwcyUzQSUyRiUyRnFpaXRhLWltYWdlLXN0b3JlLnMzLmFtYXpvbmF3cy5jb20lMkYwJTJGMzA0MjYlMkZwcm9maWxlLWltYWdlcyUyRjE0NzM2ODU0OTQ_aXhsaWI9cmItNC4wLjAmYXI9MSUzQTEmZml0PWNyb3AmbWFzaz1lbGxpcHNlJmZtPXBuZzMyJnM9NzJhMDA4YmMxN2FlOWU1N2M1MjE0NmM2Y2Q5M2UxOGE%2526blend-x%253D120%2526blend-y%253D467%2526blend-w%253D82%2526blend-h%253D82%2526blend-mode%253Dnormal%2526s%253D76fc977028de94e937fd96a3b4cb5b55%3Fixlib%3Drb-4.0.0%26w%3D1200%26fm%3Djpg%26mark64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTk2MCZoPTMyNCZ0eHQ9UnVzdCVFMyU4MSVBN051bVB5JUUzJTgyJTkyJUU2JThCJUExJUU1JUJDJUI1JUUzJTgxJTk5JUUzJTgyJThCJnR4dC1hbGlnbj1sZWZ0JTJDdG9wJnR4dC1jb2xvcj0lMjMxRTIxMjEmdHh0LWZvbnQ9SGlyYWdpbm8lMjBTYW5zJTIwVzYmdHh0LXNpemU9NTYmdHh0LXBhZD0wJnM9ODk1M2I3ZmM3NTNiMTViM2M0YzEzY2NlZmI4NjRhODA%26mark-x%3D120%26mark-y%3D112%26blend64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTgzOCZoPTU4JnR4dD0lNDB0ZXJtb3NodHQmdHh0LWNvbG9yPSUyMzFFMjEyMSZ0eHQtZm9udD1IaXJhZ2lubyUyMFNhbnMlMjBXNiZ0eHQtc2l6ZT0zNiZ0eHQtcGFkPTAmcz1mYzY0YmRjZjA2YWI5NDE5ZmE0OTk3NTllNzczZWQ0Yg%26blend-x%3D242%26blend-y%3D454%26blend-w%3D838%26blend-h%3D46%26blend-fit%3Dcrop%26blend-crop%3Dleft%252Cbottom%26blend-mode%3Dnormal%26txt64%3DaW4g5qCq5byP5Lya56S-UklDT1MgKFJJQ09TIENvLiBMdGQuKQ%26txt-x%3D242%26txt-y%3D539%26txt-width%3D838%26txt-clip%3Dend%252Cellipsis%26txt-color%3D%25231E2121%26txt-font%3DHiragino%2520Sans%2520W6%26txt-size%3D28%26s%3Dcbcddd62c3f7129070a3b8024f4c6a49" alt="RustでNumPyを拡張する - Qiita" title="RustでNumPyを拡張する - Qiita" class="entry-image" /></a></p><p>Pythonの利点 対話的にデータの加工、解析、可視化 on Jupyter グルー言語的用法 公式・非公式によってPythonインターフェースはだいたい用意されている pip/wheel、あるいはanacondaによる環境構築の容易さ Pythonの問題点 Python自体の動作が低速 高速化の取り組み Cython コンパイルできるPythonに近いDSLを定義して...</p><p><a href="https://b.hatena.ne.jp/entry/s/qiita.com/termoshtt/items/efc9ecd4ca2e777b149e"><img src="https://b.hatena.ne.jp/entry/image/https://qiita.com/termoshtt/items/efc9ecd4ca2e777b149e" alt="はてなブックマーク - RustでNumPyを拡張する - Qiita" title="はてなブックマーク - RustでNumPyを拡張する - Qiita" border="0" style="border: none" /></a> <a href="https://b.hatena.ne.jp/entry/s/qiita.com/termoshtt/items/efc9ecd4ca2e777b149e"><img src="https://b.st-hatena.com/images/append.gif" border="0" alt="はてなブックマークに追加" title="はてなブックマークに追加" /></a></p></blockquote> 23 https://github.com/recruit-tech/summpy 文章の自動要約 igrep 2016-07-29T00:05:22Z Python numpy 自然言語処理 <blockquote cite="https://github.com/recruit-tech/summpy" title="GitHub - recruit-tech/summpy"><cite><img src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fgithub.com%2Frecruit-tech%2Fsummpy" alt="" /> <a href="https://github.com/recruit-tech/summpy">GitHub - recruit-tech/summpy</a></cite><p><a href="https://github.com/recruit-tech/summpy"><img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/a2e22c305edb7395ef5fcb676f678674e5492058/backend=imagemagick;height=90;version=1;width=120/https%3A%2F%2Fopengraph.githubassets.com%2F5e6c021e39b8b1053f59f40d8c72e9d02b1acb92b54a54f2888dc53190767891%2Frecruit-tech%2Fsummpy" alt="GitHub - recruit-tech/summpy" title="GitHub - recruit-tech/summpy" class="entry-image" /></a></p><p>You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert</p><p><a href="https://b.hatena.ne.jp/entry/s/github.com/recruit-tech/summpy"><img src="https://b.hatena.ne.jp/entry/image/https://github.com/recruit-tech/summpy" alt="はてなブックマーク - GitHub - recruit-tech/summpy" title="はてなブックマーク - GitHub - recruit-tech/summpy" border="0" style="border: none" /></a> <a href="https://b.hatena.ne.jp/entry/s/github.com/recruit-tech/summpy"><img src="https://b.st-hatena.com/images/append.gif" border="0" alt="はてなブックマークに追加" title="はてなブックマークに追加" /></a></p></blockquote> 23 https://qiita.com/wellflat/items/284ecc4116208d155e01 おお、本当にRみたいな操作もできるんだ！すごい！ igrep 2014-01-28T00:56:40Z Python numpy <blockquote cite="https://qiita.com/wellflat/items/284ecc4116208d155e01" title="Pythonの数値計算ライブラリ NumPy入門 - Qiita"><cite><img src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fqiita.com%2Fwellflat%2Fitems%2F284ecc4116208d155e01" alt="" /> <a href="https://qiita.com/wellflat/items/284ecc4116208d155e01">Pythonの数値計算ライブラリ NumPy入門 - Qiita</a></cite><p><a href="https://qiita.com/wellflat/items/284ecc4116208d155e01"><img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/9b8e50538f3361f00d638ce50935ce63e3e095e1/backend=imagemagick;height=90;version=1;width=120/https%3A%2F%2Fqiita-user-contents.imgix.net%2Fhttps%253A%252F%252Fqiita-user-contents.imgix.net%252Fhttps%25253A%25252F%25252Fcdn.qiita.com%25252Fassets%25252Fpublic%25252Farticle-ogp-background-afbab5eb44e0b055cce1258705637a91.png%253Fixlib%253Drb-4.0.0%2526w%253D1200%2526blend64%253DaHR0cHM6Ly9xaWl0YS11c2VyLXByb2ZpbGUtaW1hZ2VzLmltZ2l4Lm5ldC9odHRwcyUzQSUyRiUyRnFpaXRhLWltYWdlLXN0b3JlLnMzLmFwLW5vcnRoZWFzdC0xLmFtYXpvbmF3cy5jb20lMkYwJTJGMzIxNSUyRnByb2ZpbGUtaW1hZ2VzJTJGMTcxNjc4MjAxND9peGxpYj1yYi00LjAuMCZhcj0xJTNBMSZmaXQ9Y3JvcCZtYXNrPWVsbGlwc2UmYmc9RkZGRkZGJmZtPXBuZzMyJnM9ODg2MzNkOTEzMmQ4MTY3NDMwMjgwNWVmMDdhMTY1Njk%2526blend-x%253D120%2526blend-y%253D467%2526blend-w%253D82%2526blend-h%253D82%2526blend-mode%253Dnormal%2526s%253D5607670ed63921085b94df5ef09842de%3Fixlib%3Drb-4.0.0%26w%3D1200%26fm%3Djpg%26mark64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTk2MCZoPTMyNCZ0eHQ9UHl0aG9uJUUzJTgxJUFFJUU2JTk1JUIwJUU1JTgwJUE0JUU4JUE4JTg4JUU3JUFFJTk3JUUzJTgzJUE5JUUzJTgyJUE0JUUzJTgzJTk2JUUzJTgzJUE5JUUzJTgzJUFBJTIwTnVtUHklRTUlODUlQTUlRTklOTYlODAmdHh0LWFsaWduPWxlZnQlMkN0b3AmdHh0LWNvbG9yPSUyMzFFMjEyMSZ0eHQtZm9udD1IaXJhZ2lubyUyMFNhbnMlMjBXNiZ0eHQtc2l6ZT01NiZ0eHQtcGFkPTAmcz1lNGJlM2MwYzIyZjU2ZjEzNWJmZGQxMTIwNGYyNjAwYw%26mark-x%3D120%26mark-y%3D112%26blend64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTgzOCZoPTU4JnR4dD0lNDB3ZWxsZmxhdCZ0eHQtY29sb3I9JTIzMUUyMTIxJnR4dC1mb250PUhpcmFnaW5vJTIwU2FucyUyMFc2JnR4dC1zaXplPTM2JnR4dC1wYWQ9MCZzPWIxNDhmYTVmMTA0MWEzMDU0NGRjMzc3MmIzMmIzZDZj%26blend-x%3D242%26blend-y%3D480%26blend-w%3D838%26blend-h%3D46%26blend-fit%3Dcrop%26blend-crop%3Dleft%252Cbottom%26blend-mode%3Dnormal%26s%3D0703dcdddae318d88ddc6addb1edbdba" alt="Pythonの数値計算ライブラリ NumPy入門 - Qiita" title="Pythonの数値計算ライブラリ NumPy入門 - Qiita" class="entry-image" /></a></p><p>この投稿は自分のブログ記事をQiita用に整形したものです。追記事項があればブログの方に書いていきます。 「Pythonの数値計算ライブラリ NumPy入門」 http://rest-term.com/archives/2999/ Pythonの数値計算ライブラリ NumPy入門 Scientific Computing Tools For Python — Numpy NumPy は Pythonプログラミング言語の拡...</p><p><a href="https://b.hatena.ne.jp/entry/s/qiita.com/wellflat/items/284ecc4116208d155e01"><img src="https://b.hatena.ne.jp/entry/image/https://qiita.com/wellflat/items/284ecc4116208d155e01" alt="はてなブックマーク - Pythonの数値計算ライブラリ NumPy入門 - Qiita" title="はてなブックマーク - Pythonの数値計算ライブラリ NumPy入門 - Qiita" border="0" style="border: none" /></a> <a href="https://b.hatena.ne.jp/entry/s/qiita.com/wellflat/items/284ecc4116208d155e01"><img src="https://b.st-hatena.com/images/append.gif" border="0" alt="はてなブックマークに追加" title="はてなブックマークに追加" /></a></p></blockquote> 25