Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science)

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Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.

The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.
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Python for Data Analysis

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Amazon Price: $39.99 $30.72 You save: $9.27 (23%). (as of October 22, 2017 09:55 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environment Learn basic and advanced NumPy (Numerical Python) features Get started with data analysis tools in the pandas library Use high-performance tools to load, clean, transform, merge, and reshape data Create scatter plots and static or interactive visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Measure data by points in time, whether it’s specific instances, fixed periods, or intervals Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

HTTP Programming Recipes for C# Bots

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The Hypertext Transfer Protocol (HTTP) allows information to be exchanged between a web server and a web browser. C# allows you to program HTTP directly. HTTP programming allows you to create programs that access the web much like a human user would. These programs, which are called bots, can collect information or automate common web programming tasks. This book presents a collection of very reusable recipes for C# bot programming. This book covers many topics related to C# HTTP programming. Both secure and insecure HTTP communications are covered, as well as HTTP authentication. Learn to interact with HTTP forms and support both HTTP POST and HTTP GET requests. Collect data from a wide array of HTML constructs, such as tables, and lists. Learn about advanced topics that complicate the life of a bot, such as AJAX and Javascript. Also learn about the ethical use of bots, and when bots should not be used. This book also introduces the Heaton Research Spider. The Heaton Research Spider is an open source spider framework. Using the Heaton Research Spider you can create spiders that will crawl a web site, much like a real spider crawls the web. The Heaton Research Spider is available in both Java and Microsoft Dot Net form.

HTTP Programming Recipes for Java Bots

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Amazon Price: $39.99 $37.99 You save: $2.00 (5%). (as of October 22, 2017 08:19 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

The Hypertext Transfer Protocol (HTTP) allows information to be exchanged between a web server and a web browser. Java allows you to program HTTP directly. HTTP programming allows you to create programs that access the web much like a human user would. These programs, which are called bots, can collect information or automate common web programming tasks. This book presents a collection of very reusable recipes for Java bot programming. This book covers many topics related to Java HTTP programming. Both secure and insecure HTTP communications are covered, as well as HTTP authentication. Learn to interact with HTTP forms and support both HTTP POST and HTTP GET requests. Collect data from a wide array of HTML constructs, such as tables, and lists. Learn about advanced topics that complicate the life of a bot, such as AJAX and Javascript. Also learn about the ethical use of bots, and when bots should not be used. This book also introduces the Heaton Research Spider. The Heaton Research Spider is an open source spider framework. Using the Heaton Research Spider you can create spiders that will crawl a web site, much like a real spider crawls the web. The Heaton Research Spider is available in both Java and Microsoft Dot Net form.

The IDA Pro Book: The Unofficial Guide to the World’s Most Popular Disassembler

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No source code? No problem. With IDA Pro, you live in a source code-optional world. IDA can automatically analyze the millions of opcodes that make up an executable and present you with a disassembly. But at that point, your work is just beginning. With The IDA Pro Book, you'll learn how to turn that mountain of mnemonics into something you can actually use.

Hailed by the creator of IDA Pro as the "long-awaited" and "information-packed" guide to IDA, The IDA Pro Book covers everything from the very first steps to advanced automation techniques. While other disassemblers slow your analysis with inflexibility, IDA invites you to customize its output for improved readability and usefulness. You'll save time and effort as you learn to: Identify known library routines, so you can focus your analysis on other areas of the code Extend IDA to support new processors and filetypes, making disassembly possible for new or obscure architectures Explore popular plug-ins that make writing IDA scripts easier, allow collaborative reverse engineering, and much more Utilize IDA's built-in debugger to tackle obfuscated code that would defeat a stand-alone disassembler
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