ZDNet

NumPy’s contribution to Python is remarkable, but where it goes next could be even more so

Something fascinating happened in the world of scientific publishing last week: The prestigious journal Nature featured an overview of a 15-year-old programming library for the language Python. The ...
note

Step70 NumPy 入門｜第1回：NumPyとは？「Pythonの計算力」を手に入れる

Python を使ったデータ分析や機械学習の世界で、ほぼ必ず登場するライブラリがあります。 それが NumPy（ナンパイ） です。 を丁寧に解説します。 NumPyが分かれば、pandasや機械学習の理解がぐっと深まりますよ(*' ') これはもう見た目から「表」に見えますね ...
InfoWorld

What is NumPy? Faster array and matrix math in Python

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...
Hacker

A Quick Introduction to Python Numpy for Beginners

NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other in memory. For now, just think of them as Python lists. NumPy is ...
Analytics Insight

Data Analysis with Python: Using Pandas, NumPy, and Matplotlib

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...
builtin

Stop Using NumPy’s Global Random Seed

Using np.random.seed(number) has been a best practice when using NumPy in Python to create reproducible work. Setting the random seed means that your work is reproducible to others who use your code.

Python 3.15は「1.45倍高速」？ ベンチマークの数字を読み解く #こまPy

Python 3.15とPython 3.14を比較したベンチマークで、3.15が総合で約1.45倍高速という結果が出ました。ただし、この数字はBase32やBase85など、一部の処理が数十倍から100倍以上高速化した影響を強く受けています。そうした特殊な結果を除くと約1.20倍、実際のアプリケーションに近いテストでは約1.11〜1.13倍です。 重要なのは「Python 3.15は45％速い」 ...