- 目前版本2.5.2
- 更新日期2026-08-10
- 檔案大小19.8 MB
- 檔案名稱numpy-2.5.2.tar.gz
- 作業系統macOS 10.13 High Sierra or later
- 支援語系English
- 授權型式開源軟體
- 開發商 Jarrod Millman
- 軟體分類Mac 軟體 / 開發者工具
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翻譯排程處理中,以下暫以英文原文呈現
軟體介紹
NumPy (Numerical Python) is the fundamental package for scientific computing with Python. NumPy is licensed under the BSD license, enabling reuse with few restrictions.
It contains among other things:
This allows NumPy for macOS to seamlessly and speedily integrate with a wide variety of databases.
A complete archive of documentation for all Num Py (Numerical Python) releases (minor versions; bugfix releases don’t contain significant documentation changes) since 2009 can be found at https://docs.scipy.org.
How to Use
Open Terminal on your Mac
Install NumPy using pip command: pip install numpy
Launch Python or use Jupyter Notebook
Import NumPy in your script: import numpy as np
Use NumPy functions for arrays and math operations
System Requirements
Also Available: Download NumPy for Windows
Download NumPy for Mac Latest Version Why is this app published on FileHorse? (More info)
It contains among other things:
- A powerful N-dimensional array object
- Sophisticated (broadcasting) functions
- Tools for integrating C/C++ and Fortran code
- Useful linear algebra, Fourier transform, and random number capabilities
This allows NumPy for macOS to seamlessly and speedily integrate with a wide variety of databases.
A complete archive of documentation for all Num Py (Numerical Python) releases (minor versions; bugfix releases don’t contain significant documentation changes) since 2009 can be found at https://docs.scipy.org.
How to Use
Open Terminal on your Mac
Install NumPy using pip command: pip install numpy
Launch Python or use Jupyter Notebook
Import NumPy in your script: import numpy as np
Use NumPy functions for arrays and math operations
System Requirements
- macOS 10.13 (High Sierra) or later
- Python 3.7 or later installed
- At least 1 GB RAM (2 GB recommended)
- 100 MB free disk space
- Internet connection for installation
- Fast array computations
- Supports large data handling
- Compatible with Python tools
- Rich mathematical functions
- Works well with SciPy and Pandas
- Not ideal for small tasks
- Limited visualization features
- Requires external IDE for UI
- Can be slow with pure Python loops
Also Available: Download NumPy for Windows
Download NumPy for Mac Latest Version Why is this app published on FileHorse? (More info)