This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. ...(展开全部)

This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. ...(展开全部)

This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming.By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products:Practical Network Automation by Abhishek Ratan. Mastering Python Networking by Eric Chou.Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker.

作者简介： M. O. Faruque Sarker博士 软件架构师，开发运维工程师，最近几年主持开发了很多Python软件项目。他是多种开源技术方面的专家，对于在线学习平台、Web应用平台、敏捷软件开发等技术有深入的研究。从1999年开始，他一直在部署Linux和开源软件。他应邀参与了2009年和2010年的谷歌编程之夏，为开源项目BlueZ和Tahoe-LAFS做出了贡献。目前他在英国伦敦大学学院工作，研究方向是自组织云架构。 译者简介： 安道 人子人夫人父，机械工程师，翻译爱好者，偶尔写代码。

作者简介： M. O. Faruque Sarker博士 软件架构师，开发运维工程师，最近几年主持开发了很多Python软件项目。他是多种开源技术方面的专家，对于在线学习平台、Web应用平台、敏捷软件开发等技术有深入的研究。从1999年开始，他一直在部署Linux和开源软件。他应邀参与了2009年和2010年的谷歌编程之夏，为开源项目BlueZ和Tahoe-LAFS做出了贡献。目前他在英国伦敦大学学院工作，研究方向是自组织云架构。 译者简介： 安道 人子人夫人父，机械工程师，翻译爱好者，偶尔写代码。

This book is…one nice and convenient package that I will keep on the shelf as a reference manual. The Definitive Guide to Linux Network Programming offers a clear, concise treatment of creating clients and servers under the Linux operating system. This book assumes that you know C and have experience developing code on Linux, but it provides everything else you'll need as a pro...(展开全部)

NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use.If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts.By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems.

* Already know Python but want to learn more? A lot more? Dive into a variety of topics used in practice for real-world applications. * Covers regular expressions, Internet/network programming, GUIs, SQL/databases/ORMs, threading, and Web development. * Learn about contemporary development trends such as Google+, Twitter, MongoDB, OAuth, Python 3 migration, and Java/Jython. Pre...(展开全部)

* Already know Python but want to learn more? A lot more? Dive into a variety of topics used in practice for real-world applications. * Covers regular expressions, Internet/network programming, GUIs, SQL/databases/ORMs, threading, and Web development. * Learn about contemporary development trends such as Google+, Twitter, MongoDB, OAuth, Python 3 migration, and Java/Jython. Pre...(展开全部)

This book is meant for developers with a statistical background who want to work with neural networks. Though we will be using TensorFlow as the underlying library for neural networks, book can be used as a generic resource to bridge the gap between the math and the implementation of deep learning. If you have some understanding of Tensorflow and Python and want to learn what happens at a level lower than the plain API syntax, this book is for you.