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[JSP/JavaAddison+Wesley+-+Python+Programming+with+the+Java+

Description: this a Addison Wesley Python Programming with the Java ClassLibraries.-this a Python Addison Wesley Programmin g with the Java ClassLibraries.
Platform: | Size: 1857783 | Author: kurban | Hits:

[JSP/JavaAddison+Wesley+-+Python+Programming+with+the+Java+

Description: this a Addison Wesley Python Programming with the Java ClassLibraries.-this a Python Addison Wesley Programmin g with the Java ClassLibraries.
Platform: | Size: 1857536 | Author: kurban | Hits:

[GIS programThuban-1.0.0

Description:
Platform: | Size: 1198080 | Author: nature | Hits:

[Othermaths_games_fill_in_blanks

Description: 趣味数学-填数字 的解法(Python版) # 解题:A~H处填入1~8不同的数字 # A B C # * D # --------- # E F G H # 解题:填入数字1~9,使它们之间关系成立 # # ○>○<○ # V ^ V # ○<○>○ # ^ V ^ # ○>○<○ # 解题:填入数字5~13,使ABCD每个正方形上的4个数相加都得33。 # # ○ ○ ○ # ( A )( B ) # ○ ○ ○ # ( C )( D ) # ○ ○ ○ # -Fun math- fill in the number
Platform: | Size: 2048 | Author: trees | Hits:

[Other systemsDelaunay

Description: Delaunay三角剖分算法介绍和c++源码。代码封装了其他人的代码包,在cygwin和redhat下编译通过。-This C++ library module is just a wrapper class on the Triangle package of Jonathan. The C++ wrapper will certainly slow access down if you want to mess with the triangulation but the basic delaunay triangulation should be as fast as triangle. Look at the del_interface.hpp file for getting started on what this wrapper can do for you. Also have a look at main.cpp which shows an example of using this class. The class is thread-safe. Requirements : Python, make and C++ compilers. Supported C/C++ Compilers: g++/icpc (Intel C++). Also needed is doxygen for generating documentation. Compilation : Just type make Testing : Goto the bin directory, and type ./test ../data/input.dat (after compilation of course).
Platform: | Size: 2700288 | Author: kaka | Hits:

[CADdxf2gcode_b02_source

Description: dxf文件直接转换g编码的源代码,python编写-convert dxf to g code , source code
Platform: | Size: 100352 | Author: appleben | Hits:

[Special Effectsscientific-computing-with-python

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
Platform: | Size: 4609024 | Author: yoyo | Hits:

[DataMininggplvm

Description: 这是一个用于高斯过程隐变量模型的工具箱,其中包含了MATLAB/C/PYTHON三种语言版本-As of July 2005 a C++ implementation of the GPLVM exists which has most of the flexibility of this software but runs much faster. However as of this time it cannot handle very large data sets as the sparsification algorithm (i.e. the IVM) is not implemented. Expected code updates in the near future: different kernels associated with each dimension of the IVM code (update to take place in IVM toolbox). A note on speed issues: This toolbox is designed to be flexible, not fast. Large improvements in running speed can be obtained by removing that flexibility (e.g. by fixing the kernel type and the noise model etc.). Version 2.1 Release Notes - As part of releasing the new FGPLVM toolbox, which uses a different sparsification approach for dealing with large data sets, large portions of the original GPLVM code were moved into two new toolboxes: the datasets toolbox and the mltools toolbox. These toolboxes are now required for running the GPLVM toolbox. Version
Platform: | Size: 1377280 | Author: | Hits:

[AlgorithmG-statistic

Description: 基于Python的G统计量计算,区别于arcgis的g统计量计算,arcgis中只有对矢量数据的g统计量的计算,本例使用Python编程计算栅格数据的G统计量,算法是一样的,可以作为参考。-G statistic
Platform: | Size: 1024 | Author: jin | Hits:

[STLskeinforge-50

Description: Skeinforge是python编写的,将三维模型转化为RepRap可以识别的G-Code。-Skeinforge is a tool chain composed of Python scripts that converts your 3D model into G-Code instructions for RepRap.
Platform: | Size: 2512896 | Author: | Hits:

[Data structsskeinforge-35

Description: Skeinforge用Python编写,将三维模型转化为RepRap可以识别的G-Code。-Skeinforge is a tool chain composed of Python scripts that converts your 3D model into G-Code instructions for RepRap.
Platform: | Size: 1656832 | Author: | Hits:

[Data structsskeinforge-47

Description: Skeinforge用Python编写,将三维模型转化为RepRap可以识别的G-Code。-Skeinforge is a tool chain composed of Python scripts that converts your 3D model into G-Code instructions for RepRap.
Platform: | Size: 1738752 | Author: | Hits:

[Other systemsg

Description: this python software used to connect real world and internet world
Platform: | Size: 1024 | Author: suria | Hits:

[Windows Developfind

Description: 在某个盘下寻找文件,示例为在g盘下寻找exe文件(Find the file in a disk, for example in the EXE file under Gpan)
Platform: | Size: 10240 | Author: 思源小生 | Hits:

[Other3

Description: 协同过滤算法,用python检验,可用于推荐系统中的协同过滤推荐算法,进而进行计算模拟G代码和M代码说明代码说明?? G代码代码?? 前面带*号,表示MACH3不支持 G00? ??快速定位??? G01???直线切削?? G02???(Collaborative filtering algorithm, using Python test, but the collaborative filtering algorithm in recommendation system for and simulate the G code and M code code code code G???? in front with *, said MACH3 does not support G00??? Fast??? G01??? Cutting line?? G02???)
Platform: | Size: 38912 | Author: wangchengxu | Hits:

[Other5

Description: 协同过滤算法,用python检验,可用于推荐系统中的协同过滤推荐算法,进而进行计算模拟G代码和M代码说明代温湿度实时监视报警,语音报警,可用于对温湿度敏感地区监视(Collaborative filtering algorithm, using Python test, but the collaborative filtering algorithm in recommendation system for and simulate the G code and M code code code code G???? in front with *, said MACH3 does not support G00??? Fast??? G01??? Cutting line?? G02???)
Platform: | Size: 78848 | Author: wangchengxu | Hits:

[Windows Develop1p

Description: 协同过滤算法,用python检验,可用于推荐系统中的协同过滤推荐算法,进而进行计算模拟G代码和M代码说明代温湿度实时监视报警,语音报警,可用于对温湿度敏感地区监视(Collaborative filtering algorithm, using Python test, but the collaborative filtering algorithm in recommendation system for and simulate the G code and M code code code code G???? in front with *, said MACH3 does not support G00??? Fast??? G01??? Cutting line?? G02???)
Platform: | Size: 78848 | Author: wangchengxu | Hits:

[Windows Develop2

Description: 协同过滤算法,用python检验,可用于推荐系统中的协同过滤推荐算法,进而进行计算模拟G代码和M代码说明代温湿度实时监视报警,语音报警,可用于对温湿度敏感地区监视(Collaborative filtering algorithm, using Python test, can be applied to collaborative filtering recommendation algorithm in recommender system, and then calculate, simulate G code and M code, explain generation temperature and humidity real-time monitoring alarm, voice alarm, and it can be used for monitoring temperature and humidity sensitive area.)
Platform: | Size: 157696 | Author: wangchengxu | Hits:

[Other双霖度盘下载器v2.3.1

Description: 烟雾包及恒大名都看的良好的公对公打开两个;你电话的让更多人高考(fdfdgsv FDFD fdfd d df gfgd d fdf s f sf f gg g r grb f dg eg d df)
Platform: | Size: 7319552 | Author: 撒大声地565 | Hits:

[OtherPython_Data_Science_Handbook

Description: Python数据科学手册提供了对数据密集型科学,研究和发现至关重要的计算和统计方法的广度。 具有编程背景且希望有效地使用Python进行数据科学任务的人将学习如何面对各种问题:例如,如何将这种数据格式读入我的脚本? 如何操作,转换和清理这些数据? 如何可视化此类数据? 如何使用此数据获取洞察力,回答问题或构建统计或机器学习模型?(The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?)
Platform: | Size: 19871744 | Author: 凌丶星护 | Hits:
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