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Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
How Computers Work: Processor and Main Memory
How Computers Work: Processor and Main Memory
The book is as simple as possible and aimed at a non-technical audience with absolutely no knowledge of computers or electronics, but it is an electrical engineering text. A typical page consists of a circuit diagram (or program) and a paragraph or two of explanation. The book begins with a VERY simple circuit and continues to a very complex...
Numerical Solution of Partial Differential Equations on Parallel Computers
Numerical Solution of Partial Differential Equations on Parallel Computers

Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer’s silicon test tube, there is need...

Object-Oriented and Classical Software Engineering
Object-Oriented and Classical Software Engineering

Almost every computer science and computer engineering curriculum now includes a required team-based software development project. In some cases, the project is only one semester or quarter in length, but a year-long team-based software development project is fast becoming the norm.

In an ideal world, every student would...

User-Centered Agile Method
User-Centered Agile Method

Agile development methods began to emerge around 20 years ago. However, it was not until the early 2000s that they began to be widely used in industry. This growth was often due to the advent of Internet services requiring faster cycles of development in order to heighten the rate at which an ever-greater number of functionalities...

Parallel Programming with Co-arrays (Chapman & Hall/CRC Computational Science)
Parallel Programming with Co-arrays (Chapman & Hall/CRC Computational Science)

Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to parallel...

Microcontroller Programming: The Microchip PIC
Microcontroller Programming: The Microchip PIC

Using the popular and pervasive mid-range 8-bit Microchip PICВ® as an archetype, Microcontroller Programming offers a self-contained presentation of the multidisciplinary tools needed to design and implement modern embedded systems and microcontrollers. The authors begin with basic electronics, number systems, and data concepts followed...

Algorithms Sequential & Parallel: A Unified Approach (Electrical and Computer Engineering Series)
Algorithms Sequential & Parallel: A Unified Approach (Electrical and Computer Engineering Series)
A major thrust of computer science is the design, analysis, implementation, and scientific evaluation of algorithms to solve critical problems. In addition, new challenges are being offered to computer scientists in the field of computational science and engineering, which includes challenging problems in computational biology, computational fluid...
Parallel R
Parallel R

It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together....

Parallel Programming: for Multicore and Cluster Systems
Parallel Programming: for Multicore and Cluster Systems

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be...

Nearest Neighbor Search:: A Database Perspective (Series in Computer Science)
Nearest Neighbor Search:: A Database Perspective (Series in Computer Science)
From the reviews of the first edition:

"This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in...

Introduction to Reversible Computing (Chapman & Hall/CRC Computational Science)
Introduction to Reversible Computing (Chapman & Hall/CRC Computational Science)

Few books comprehensively cover the software and programming aspects of reversible computing. Filling this gap, Introduction to Reversible Computing offers an expanded view of the field that includes the traditional energy-motivated hardware viewpoint as well as the emerging application-motivated software approach.

...

unlimited object storage image
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