Installing the SciPy Stack

最新推荐文章于 2024-04-28 11:06:43 发布

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最新推荐文章于 2024-04-28 11:06:43 发布

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分类专栏： python 文章标签： numpy 数据挖掘

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本文介绍如何使用官方二进制安装器在常见Windows和OS-X系统上安装SciPy栈中的核心Python包，包括numpy、scipy、matplotlib、ipython、pandas、sympy和nose等。同时，还提供了从源代码构建这些包的方法，适用于完全用Python编写的包，而对于需要编译C代码的包如NumPy，则需遵循项目的详细说明。

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Individual binary and source packages

The maintainers of many of the packages in the SciPy stack provide “official” binary installers for common Windows and OS-X systems that can be used to install the packages one by one. These installers are generally built to be compatible with the Python binaries available from python.org.

python
numpy
scipy
matplotlib
ipython
pandas
sympy
nose

For Windows: Christoph Gohlke provides pre-built Windows installers for many Python packages, including all of the core SciPy stack.

You can also build any of the SciPy packages from source, for instance if you want to get involved with development. This is easy for packages written entirely in Python, while others like NumPy require compiling C code. Refer to individual projects for more details.