NumPy documentation — NumPy v2.0 Manual
Version: 2.0 Download documentation: Historical versions of documentation Useful links: Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for
Random sampling (numpy.random) — NumPy v1.16 Manual
Return a sample (or samples) from the “standard normal” distribution.
NumPy for Matlab users — NumPy v1.13.dev0 Manual
Introduction� MATLAB� and NumPy/SciPy have a lot in common. But there are many differences. NumPy and SciPy were created to do numerical and scientific computing in the most natural way with Python, not to be MATLAB� clones. This page is intended to be a place to collect wisdom about the differences, mostly for the purpose of helping proficient MATLAB� users become proficient NumPy and SciPy users
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
処理を実行中です
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
