Style guide — numpydoc v1.10.0rc0.dev0 Manual
Style guide# This document describes the syntax and best practices for docstrings used with the numpydoc extension for Sphinx. Note For an accompanying example, see example.py. Some features described in this document require a recent version of numpydoc. For example, the Yields section was added in numpydoc 0.6. Overview# We mostly follow the standard Python style conventions as described here: S
[Python]可読性を上げるための、docstringの書き方を学ぶ（NumPyスタイル） - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? 日々Pythonの色々な記事がアップされているものの、あまりdocstringに触れている日本語の記事が少ないな・・ということで書きました。 そもそもdocstringって？ Pythonの関数だったりクラスだったりに記述するコメントです。 JSDocだったりのPython版です。 書き方は、最初結構他の言語と違うな・・という印象を受けました。 docstring書くと何が嬉しいの？ 後で見直したときに、すぐ内容が把握できるよ Guido の重要な洞察のひとつに、コードは書くよりも読まれることの方が多い、というものがあります。 はじめに
![[Python]可読性を上げるための、docstringの書き方を学ぶ（NumPyスタイル） - Qiita](https://cdn-ak-scissors.b.st-hatena.com/image/square/e2f0b0f63f36daa8662cd0701a9cd6ee2c81bebf/height=288;version=1;width=512/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%253DaHR0cHM6Ly9xaWl0YS11c2VyLXByb2ZpbGUtaW1hZ2VzLmltZ2l4Lm5ldC9odHRwcyUzQSUyRiUyRnFpaXRhLWltYWdlLXN0b3JlLnMzLmFtYXpvbmF3cy5jb20lMkYwJTJGMjI4Nzc4JTJGcHJvZmlsZS1pbWFnZXMlMkYxNTIxNDc1ODMwP2l4bGliPXJiLTQuMC4wJmFyPTElM0ExJmZpdD1jcm9wJm1hc2s9ZWxsaXBzZSZiZz1GRkZGRkYmZm09cG5nMzImcz02NWE4MTkyMzRlZWVmYjliNTg4MjdjZjEyMzQ0NGUwNg%2526blend-x%253D120%2526blend-y%253D467%2526blend-w%253D82%2526blend-h%253D82%2526blend-mode%253Dnormal%2526s%253D1f3b7847a7f6cfe95fded1302d1d23d1%3Fixlib%3Drb-4.0.0%26w%3D1200%26fm%3Djpg%26mark64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-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%26mark-x%3D120%26mark-y%3D112%26blend64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTgzOCZoPTU4JnR4dD0lNDBzaW1vbnJpdGNoaWUmdHh0LWNvbG9yPSUyMzFFMjEyMSZ0eHQtZm9udD1IaXJhZ2lubyUyMFNhbnMlMjBXNiZ0eHQtc2l6ZT0zNiZ0eHQtcGFkPTAmcz0yODA2MTA3MzAwZWYxNmNiZWM4YzNkNjU1MWRiY2FjZA%26blend-x%3D242%26blend-y%3D480%26blend-w%3D838%26blend-h%3D46%26blend-fit%3Dcrop%26blend-crop%3Dleft%252Cbottom%26blend-mode%3Dnormal%26s%3Dab889f06a1a343e27ed7223c9ffa4410)
Working with Time Series | Python Data Science Handbook
This is an excerpt from the Python Data Science Handbook by Jake VanderPlas; Jupyter notebooks are available on GitHub. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. If you find this content useful, please consider supporting the work by buying the book! Pandas was developed in the context of financial modeling, so as you might expect, it contains
GitHub - ijl/orjson: Fast Python JSON library
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson.dumps() is something like 10x as fast as json, serializes common types and subtypes, has a default parameter for the caller to specify
Beyond Numpy Arrays in Python
Beyond Numpy Arrays in Python Preparing the ecosystem for GPU, distributed, and sparse arrays Executive Summary In recent years Python’s array computing ecosystem has grown organically to support GPUs, sparse, and distributed arrays. This is wonderful and a great example of the growth that can occur in decentralized open source development. However to solidify this growth and apply it across the e
varunajayasiri.com
varunajayasiri.com 2024 著作権. 不許複製 プライバシーポリシー
Quickstart tutorial — NumPy v1.13.dev0 Manual
Prerequisites� Before reading this tutorial you should know a bit of Python. If you would like to refresh your memory, take a look at the Python tutorial. If you wish to work the examples in this tutorial, you must also have some software installed on your computer. Please see http://scipy.org/install.html for instructions. The Basics� NumPy’s main object is the homogeneous multidimensional array.
Python Numpy Tutorial (with Jupyter and Colab)
This tutorial was originally contributed by Justin Johnson. We will use the Python programming language for all assignments in this course. Python is a great general-purpose programming language on its own, but with the help of a few popular libraries (numpy, scipy, matplotlib) it becomes a powerful environment for scientific computing. We expect that many of you will have some experience with Pyt
私訳「暫定的 NumPy チュートリアル」 - naoya_t@hatenablog
# 原文：http://www.scipy.org/Tentative_NumPy_Tutorial このチュートリアルを読む前に、Pythonについてちょっとは知っているべきだ。記憶をリフレッシュしたいと思うなら、Pythonチュートリアルを見てくるがいい。 このチュートリアルに出てくる例を試したいなら、あなたのPCに少なくとも Python NumPy はインストールされているべきで、他に入ってると便利なのは： ipython は拡張されたインタラクティブなPythonシェルで、NumPyの機能を探検するのにとても便利 matplotlib があると図表の描画が可能になる SciPy はNumPyの上で動く科学計算ルーチンを沢山用意してくれる 基礎 NumPy の主要なオブジェクトは、同じ型（普通は数）の要素のみから成り、正の整数のタプルで添字付けされた、均質なテーブル（というか多次元
Page Redirection
If you are not redirected automatically, follow this link/a>.
QQPOKERONLINE: #1 Trusted Official IDN Poker Agent, Best Online Poker Gaming Experience 2025
QQPOKERONLINE - AGEN RESMI IDN POKER | SITUS IDN POKER ONLINE INDONESIA 2025 IDN Poker adalah sebuah produk permainan judi online dalam bentuk aplikasi platform komputer dan smartphone modern. Situs QQ POKER ONLINE menyediakan berbagai game, khususnya QQ POKER (QQPOKER) atau juga dikenal POKER QQ (POKERQQ) yang dirilis oleh sebuah perusahaan pengembang atau developer online gaming yaitu IDNPLAY. A
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
5 smart Python NumPy functions
google/jax: GPU- and TPU-backed NumPy with differentiation and JIT compilation.
GitHub - rougier/numpy-100: 100 numpy exercises (with solutions)
scikit-learn: machine learning in Python