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Python核心编程第3版中文版

于 2020-06-17 发布文件大小:17133KB

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本书是经典畅销图书《Python 核心编程（第二版）》的全新升级版本，总共分为 3 部分。第 1 部分讲解了 Python 的一些通用应用，包括正则表达式、网络编程、Internet 客户端编程、多线程编程、GUI 编程、数据库编程、Microsoft Office 编程、扩展 Python 等内容。第 2 部分讲解了与 Web 开发相关的主题，包括 Web 客户端和服务器、CGI 和 WSGI 相关的 Web 编程、Diango Web 框架、云计算、高级 Web 服务。第 3 部分则为一个补充/实验章节，包括文本处理以及一些其他内容。本书适合具有一定经验的 Python 开发人员阅读(This book is a new upgraded version of the classic best-selling book Python Core Programming (2nd Edition). It is divided into three parts. Part 1 explains some general applications of Python, including regular expressions, network programming, Internet client programming, multi-threading programming, GUI programming, database programming, Microsoft Office programming, extension of Python and so on. Part 2 Topics related to Web development are explained, including Web client and server, CGI and WSGI related Web programming, Diango Web framework, cloud computing, advanced Web services. Part 3 is a supplementary/experimental chapter, including text processing and some other contents. This book is suitable for Python developers with some experience.)

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Python核心编程第3版中文版.pdf, 19081695 , 2019-05-13

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kaggle_diabetic-master
A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

2019-05-11 15:31:21下载

积分：1
陈明计先生写的SMALL RTOS51 smallR_TOS51_BOOK
本书：是陈明计先生写的SMALL RTOS51。格式为PDF。该书详细分析了RTOS51的编写过程。非常详细的流程图。只要有一定的基础，就能够快速掌握RTOS编程思路。(This book: It is written by Mr. Chen Mingji SMALL RTOS51. Format PDF. RTOS51 book is a detailed analysis of the preparation process. Very detailed flow chart. As long as there is a foundation, will be able to quickly grasp the idea of RTOS programming.)

2020-06-26 01:20:02下载

积分：1
Adams_入门详解与实例第二版李增刚
机械仿真建模，可用于实现真实模型的逼真建模，便于与MATLAB展开联合仿真(Mechanical simulation modeling)

2017-06-20 06:48:11下载

积分：1
EXCEL集成系统使用说明
使用excel制作自己需要的管理软件，使用excel制作自己需要的管理软件(Using Excel to make the management software you need)

2017-12-29 13:52:57下载

积分：1
chaos
吕金虎、陈关荣的混沌时间序列分析及其应用pdf版图书(吕金虎, Chen Guanrong Chaotic Time Series Analysis and Its Application pdf version of the book)

2008-04-27 22:32:59下载

积分：1
R数据可视化手册
说明：本书提供了快速绘制高质量图形的150多种技巧，每个技巧用来解决一个特定的绘图需求。读者可以通过目录快速定位到自己遇到的问题，查询相应的解决方案。(This book provides more than 150 techniques for quickly drawing high quality graphics, each of which addresses a specific drawing requirement. Readers can quickly locate their own problems through the directory, query the corresponding solution.)

2020-06-25 16:00:02下载

积分：1
Pareto-design-of-Load-Frequency-Control-for-inter
In this study, it is tried to employ a state-of-the-art multi-objective uniform-diversity genetic algorithm (MUGA) for Pareto optimization of PI/PID controllers in Load Frequency Control (LFC) of power systems. At ﬁ rst, multi objective optimization of a linear non-reheat two-area interconnected power system is conducted with respect to three conﬂ icting objective functions. Gains of PI and PID controllers are con- sidered as design variables while the objective functions are Integral Time multiply Absolute Error (ITAE),

2017-04-30 15:03:50下载

积分：1
Impulse-response-analysis
使用ANSYS求解系统在脉冲激励下的动态响应，利用APDL语言以命令流的方式实现。(system dynamic response in the pulse excitation is solved in the case of ANSYS runs the APDL language.)

2014-08-19 14:44:53下载

积分：1
diveintopythonzh-cn-5.4b-code
python工具书查询,之前看到的，资料还不错，可以参考学习下(Reference books for python)

2020-06-18 07:40:02下载

积分：1
kaggle_diabetic-master
说明： A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

2019-05-11 15:31:21下载

积分：1

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