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Description: Lagrange configurator for python (beta)
lagrange 小程式，请參考-The current version of Lagrange requires that Python is already installed on your computer. It also requires two Python libraries: scipy and numpy. On Windows, install packages that match your version of Python (recommended: Python 2.5).
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Size: 41984 |
Author: bor |
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Description: 本书介绍如何用Python开发科学计算的应用程序，除了介绍数值计算之外，还着重介绍如何制作交互式的2D、3D图像，如何设计精巧的程序界面，如 何与C语言编写的高速计算程序结合，如何编写声音、图像处理算法等内容。书中涉及的Python扩展库包括NumPy、SciPy、SymPy、 matplotlib、Traits、TraitsUI、Chaco、TVTK、Mayavi、VPython、OpenCV等，涉及的应用领域包括数值 运算、符号运算、二维图表、三维数据可视化、三维动画演示、图像处理以及界面设计等。 书中以大量实例引导读者逐步深入学习，每个实例程序都有详尽的解释，并都能在本书推荐的运行环境中正常运行。此外，本书附有大量的图表和插图，力求减少长篇的理论介绍和公式推导，以便读者通过实例和数据学习并掌握理论知识。
-The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts), written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization steering simulations and computational experiments equipping old programs with graphical user interfaces making computational Web applications and creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun- on Unix, Windows and Macintosh. All the tools and examples in this book are open source codes. The second edition features new material, reorganization of text, improved example
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Size: 4609024 |
Author: yoyo |
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Description: python的numpy的注册文件，numpy的exe安装程序若在windows上安装不了，则需要这个注册表-numpy register on python
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Size: 1024 |
Author: chz |
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Description: cikit-Learn是基于Python的机器学习模块，基于BSD开源许可证。这个项目最早由DavidCournapeau 在2007 年发起的，目前也是由社区自愿者进行维护。
Scikit-Learn的官方网站是http://scikit-learn.org/stable/，在上面可以找到相关的Scikit-Learn的资源，模块下载，文档，例程等等。
Scikit-Learn的安装需要numpy，scipy，matplotlib等模块，windows用户可以到(Cikit-Learn is a Python-based machine learning module based on the BSD open source license. The project was first launched by DavidCournapeau in 2007 and is currently being maintained by community volunteers.Scikit-Learn the official website is http://scikit-learn.org/stable/, in the above can find the relevant Scikit-Learn resources, module downloads, documents, routines and so on.Scikit-Learn installation requires numpy, scipy, matplotlib and other modules, windows users can)
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Size: 827392 |
Author: 聂红梅
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