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Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Numerical Techniques in Electromagnetics with MATLAB
Numerical Techniques in Electromagnetics with MATLAB

Despite the dramatic growth in the availability of powerful computer resources, the EM community lacks a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers,...

Getting Started with Raspberry Pi Zero
Getting Started with Raspberry Pi Zero

Key Features

  • Get started with Raspberry Pi Zero and put all of its exciting features to use
  • Create fun games and programs with little or no programming experience
  • Learn to use this super-tiny PC to control hardware and software for work, play, and everything else

Book...

Spark for Python Developers
Spark for Python Developers

Key Features

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)
  • Inject live data using Spark Streaming with real-time events

Book Description

Looking...

Introduction to Genetic Algorithms for Scientists and Engineers
Introduction to Genetic Algorithms for Scientists and Engineers

This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in Basic, Fortran, Pascal And C) included on a floppy disk to...

Learning SciPy for Numerical and Scientific Computing Second Edition
Learning SciPy for Numerical and Scientific Computing Second Edition

Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

About This Book

  • Use different modules and routines from the SciPy library quickly and efficiently
  • Create vectors and matrices and learn how to perform standard mathematical operations...
Numerical Python: A Practical Techniques Approach for Industry
Numerical Python: A Practical Techniques Approach for Industry

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model...

Foundations of Multithreaded, Parallel, and Distributed Programming
Foundations of Multithreaded, Parallel, and Distributed Programming

Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance. Features *Emphasizes how to solve problems, with correctness the...

Introduction to the Theory of Programming Languages (Undergraduate Topics in Computer Science)
Introduction to the Theory of Programming Languages (Undergraduate Topics in Computer Science)
The ultimate, definitive programming language has not been created yet, far from it. Almost every day a new language is created, and new functionalities are added to existing languages. Improvements in programming languages contribute to making programs more reliable, shorten the development time, and make programs easier to...
Applied Numerical Methods W/MATLAB: for Engineers & Scientists
Applied Numerical Methods W/MATLAB: for Engineers & Scientists
This book is designed to support a one-semester course in numerical methods. It has been written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so...
Computer Science: The Hardware, Software and Heart of It
Computer Science: The Hardware, Software and Heart of It

Computer Science: The Hardware, Software and Heart of It focuses on the deeper aspects of the two recognized subdivisions of Computer Science, Software and Hardware. These subdivisions are shown to be closely interrelated as a result of the stored-program concept. Computer Science: The Hardware, Software and Heart of It includes certain...

Introduction to Design Patterns in C++ with Qt (2nd Edition)
Introduction to Design Patterns in C++ with Qt (2nd Edition)

I still remember how I first got to know C++ and Qt. It was around 15 years ago while working on my diploma thesis. Most of the development we did at that time was done in Fortran and C. I was working on a Linux system with FVWM as a window manager. One day I read an article about KDE—a cool, new open source project...

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