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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 Methods for Chemical Engineers with MATLAB Applications
Numerical Methods for Chemical Engineers with MATLAB Applications

Master numerical methods using MATLAB, today's leading software for problem solving.

 

This complete guide to numerical methods in chemical engineering is the first to take full advantage of MATLAB's powerful calculation environment....

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

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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...

Python Scripting for Computational Science (Texts in Computational Science and Engineering)
Python Scripting for Computational Science (Texts in Computational Science and Engineering)
The goal of this book is to teach computational scientists and engineers how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in the easy-to-learn, very high-level language Python. The focus is on examples and applications of relevance to computational science: gluing existing...
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable expressive power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to...
Optimizing Compilers for Modern Architectures: A Dependence-based Approach
Optimizing Compilers for Modern Architectures: A Dependence-based Approach

Modern computer architectures designed with high-performance microprocessors offer tremendous potential gains in performance over previous designs. Yet their very complexity makes it increasingly difficult to produce efficient code and to realize their full potential. This landmark text from two leaders in the field focuses on the pivotal role...

The Boundary Element Method with Programming: For Engineers and Scientists
The Boundary Element Method with Programming: For Engineers and Scientists
This is a thorough, yet understandable text about the boundary element method (BEM), an attractive alternative to the finite element method (FEM). It not only explains the theory, but also deals with the implementation into computer code written in FORTRAN 95 (software can be freely downloaded). Applications range from potential problems to static...
Compiling Techniques
Compiling Techniques
The name compiler has been given to a computer program which will accept as data a program in a problem-oriented language, such as Algol or Fortran, and produce as output a computer-oriented code which, after possibly some further processing by an assembler or loader, will be capable of being obeyed by a computer and produce results equivalent to...
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)

The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python...

Parallel Programming in OpenMP
Parallel Programming in OpenMP
"This book will provide a valuable resource for the OpenMP community."

- Timothy G. Mattson, Intel Corporation

"This book has an important role to play in the HPC community-both for introducing practicing professionals to OpenMP and for educating students and professionals about parallel programming. I'm happy...

Technical Java: Applications for Science and Engineering
Technical Java: Applications for Science and Engineering
If you want to use Java todevelop scientific or engineering programs, Technical Java is the Java guide you’vebeen searching for. Using real-life examples, expert scientific programmerGrant Palmer shows how to build powerful, versatile, and flexible software forvirtually any technical application. Whether you’re moving from FORTRAN,C, or...
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