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Thinking in LINQ: Harnessing the Power of Functional Programming in .NET Applications
Thinking in LINQ: Harnessing the Power of Functional Programming in .NET Applications

LINQ represents a paradigm shift for developers used to an imperative/object oriented programming style, because LINQ draws on functional programming principles. Thinking in LINQ addresses the differences between these two by providing a set of succinct recipes arranged in several groups, including:

Learning IPython for Interactive Computing and Data Visualization
Learning IPython for Interactive Computing and Data Visualization

IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more.

Overview

  • A practical step-by-step tutorial which will help you to replace the...
Exploratory Software Testing: Tips, Tricks, Tours, and Techniques to Guide Test Design
Exploratory Software Testing: Tips, Tricks, Tours, and Techniques to Guide Test Design

How to Find and Fix the Killer Software Bugs that Evade Conventional Testing

 

In Exploratory Software Testing, renowned software testing expert James Whittaker reveals the real causes of today’s most serious, well-hidden software...

Computational Social Network Analysis: Trends, Tools and Research Advances (Computer Communications and Networks)
Computational Social Network Analysis: Trends, Tools and Research Advances (Computer Communications and Networks)

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities.

This unique text/reference compares...

Temporal Logic for Real-Time Systems (Advanced Software Development Series)
Temporal Logic for Real-Time Systems (Advanced Software Development Series)

This monograph presents a framework for modelling, specifying and verifying systems composed of real-time discrete event processes. A discrete event system consists of the plant (the object to be controlled) and a controller. For example, the plant might consist of machines, robots and conveyors on the factory floor. The objective of...

Exploratory Analysis and Data Modeling in Functional Neuroimaging
Exploratory Analysis and Data Modeling in Functional Neuroimaging
"All of the papers are well presented and accompanied by illustrative experimental applications. The book coverage goes beyond standard methodologies in functional neuroimaging and amounts to a highly valuable contribution to the field."
 -- Alfonso Nieto-Castanon, Neural Networks 18 (2005) 307-308

Functional
...
UNIX to Linux(R) Porting : A Comprehensive Reference (Prentice Hall Open Source Software Development)
UNIX to Linux(R) Porting : A Comprehensive Reference (Prentice Hall Open Source Software Development)

Port Your UNIX® Applications to Linux®–Quickly, Efficiently, and Reliably

Increasingly, developers, architects, and project managers face the challenge of porting their C, C++, and Java applications from UNIX® to Linux® environments. Now,...

Causal Mapping for Research in Information Technology
Causal Mapping for Research in Information Technology
Causal maps represent cognition as a system of cause-effect relations for the purpose
of capturing the structure of human cognition from texts, either archival or interview
generated. Given the structure of causal maps, they can be represented pictorially, or
as matrices. Once these cognitive structures have been represented, they
...
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Key Features

  • Get up and running with the Jupyter ecosystem and some example datasets
  • Learn about key machine...
A Practitioner's Guide to Software Test Design
A Practitioner's Guide to Software Test Design

Here’s a comprehensive, up-to-date and practical introduction to software test design. This invaluable book presents all the important test design techniques in a single place and in a consistent, and easy-to-digest format. An immediately useful handbook for test engineers, developers, quality assurance professionals, and requirements and...

Innovations in Intelligent Machines -2: Intelligent Paradigms and Applications (Studies in Computational Intelligence)
Innovations in Intelligent Machines -2: Intelligent Paradigms and Applications (Studies in Computational Intelligence)

This research volume is a continuation of our previous volume on intelligent machines. We have laid the foundation of intelligent machines in SCI Series Volume 70 by including the possible and successful applications of computational intelligence paradigms in machines for mimicking the human behaviour.

The present volume...

Translating Statistics to Make Decisions: A Guide for the Non-Statistician
Translating Statistics to Make Decisions: A Guide for the Non-Statistician

Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians―and also statisticians who present statistical reports to non-statisticians―must avoid if statistical results are to be correctly used for...

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