We present a Python extension to the massively parallel HPC simulation toolkit waLBerla. waLBerla is a framework for stencil based algorithms operating on block-structured grids, with the main application field being fluid simulations in complex geometries using the lattice Boltzmann method. Careful performance engineering results in excellent node performance and good scalability to over 400,0...

One of the recurring topics in the Python community is how to make Python programs run faster. Typically, a set of solutions is proposed which include: adding static type inference; somehow compiling programs into native code; translating Python programs into Parrot/Lisp/.net code; applying research results from dynamically-typed language implementation. Progress has been made on some of these,...

Objectives and Scope The objective of this tutorial is to introduce and motivate the use of the Python programming language in cognitive science research. Within the last 10 years, the development of scientific and numerical libraries in Python has grown to the point where Python can now be used as a scientific and numerical computing environment comparable to products like Matlab and Mathemati...

In recent years run-time languages such as Python have enjoyed a growing community of developers in several programming areas, e.g., scientific computing. The multi-paradigm approach of Python is certainly one of the major advantages as well as its simple syntax and semantics. Rapid prototyping is thereby possible. As major deficiency remains, the low overall performance, especially in the area...

We describe our experiences using Python with the SPaSM molecular dynamics code at Los Alamos National Laboratory. Originally developed as a large monolithic application for massively parallel processing systems, we have used Python to transform our application into a flexible, highly modular, and extremely powerful system for performing simulation, data analysis, and visualization. In addition...

Modelica has evolved as a powerful language for encoding models of complex systems. In control engineering, it is of interest to be able to analyze dynamic models using scripting languages such as MATLAB and Python. This paper illustrates some analysis and design methods relevant in control engineering through scripting a Modelica model of an anaerobic digester model using Python, and discusses...

Python is a wonderful programming language and we expect that readers of this book will find many opportunities to use it. That said, there are many different programming languages used by software developers. Each language has its own strengths and weaknesses, and professionals must become accustomed to programming in different languages. Fortunately, once you have a solid foundation in one la...

Data mining is the discovery of new patterns from existing ones. Data mining can predict the future. Its applications are quite large and can be used in various domains. Data mining techniques have become fundamental for various applications. Pattern mining field in data mining is extensively studied. This research paper tries to discover and visualize structural patterns of data using python l...

As an object-oriented dynamic scripting language, Python has been widely applied in scientific computation, image processing and network communication fields, etc., however, there is no enough attention paid to it in automated test. A Python-based client/server auto-dial testing mode which is successfully applied in actual wireless network optimization testing is introduced. The actual applicat...