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Showing: 11-20 results of 56761

Power up your network applications with Python programming Key Features Master Python skills to develop powerful network applications Grasp the fundamentals and functionalities of SDN Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying... more...

by Fei Hu
Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details―making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S designs―storage, sharing, and security―through detailed descriptions of Big Data... more...

Key Features Get acquainted with the latest features in C++ 17 Take advantage of the myriad of features and possibilities that C++ offers to build real-world applications Write clear and expressive code in C++, and get insights into how to keep your code error-free Book Description C++ has come a long way and has now been adopted in several contexts. Its key strengths are its software infrastructure and... more...

Fully Revised and Updated–Includes New Refactorings and Code Examples “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” —M. Fowler (1999) For more than twenty years, experienced programmers worldwide have relied on Martin Fowler’s Refactoring to improve the design of existing code and to enhance software maintainability, as well as to make existing code easier to... more...

Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject---a transcript of what an expert algorithms tutor would say over a series of... more...


Ditch the failed sales tactics, fill your pipeline, and crush your number Fanatical Prospecting gives salespeople, sales leaders, entrepreneurs, and executives a practical, eye-opening guide that clearly explains the why and how behind the most important activity in sales and business development—prospecting. The brutal fact is the number one reason for failure in sales is an empty pipe and the root cause of an empty pipeline is... more...

Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications Key Features Build independent machine learning (ML) systems leveraging the best features of R 3.5 Understand and apply different machine learning techniques using real-world examples Use methods such as multi-class classification, regression, and clustering... more...

With some 200 million hosts generating traffic on the Internet, TCP/IP (transmission control protocol/Internet protocol) has become the protocol suite of choice to support the exchange of messages in commercial operations and residential activities. This hands-on resource provides professionals with a comprehensive picture of the Internet protocol stack and the role of TCP/IP in data communication. It serves as a detailed guide to the protocols,... more...

Big data processing and analytics at speed and scale using command line tools. Key Features Perform string processing, numerical computations, and more using CLI tools Understand the essential components of data science development workflow Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell... more...

In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of low-dimensional, discrete-time numerical examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based probabilistic forecasting and uncertainty... more...