The application of dynamic malware analysis in order to automate the monitoring of malware behavior has become increasingly important. For this purpose, so-called sandboxes are used. They provide the functionality to execute malware in a secure, controlled environment and observe its activities during runtime. While a variety of sandbox software, such as the GFI Sandbox (formerly CWSandbox) or ...

The choice of implementation language affects the use of design patterns. Naturally some languages are better applicable for different tasks than others. Each language has its own set of strengths and weaknesses. In this paper we implement some of the better known design patterns in Python, whose object model is quite different from that of conventional object-oriented languages. Thus we acquir...

The National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) is a global spectral model used for aviation weather forecast. It produces forecasts of wind speed and direction, temperature, humidity and precipitation out to 192 hr every 6 hours over the entire globe. The horizontal resolution in operational version of the GFS is about 25 km. Much longer integration of sim...

FRONTIERS COMMENTARY Nikolenko et al. present an elegant technique , which they call " SLM microscopy, " that combines both of these strategies into a single system. Their system targets two-photon excitation simultaneously to up to several tens of points within the fi eld of view. The authors achieve this feat using a spatial light modulator (SLM), which alters the oscillation phase of the inc...

As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages to automate data management and processing tasks. For this, a structured and programmatic access to the data store is necessary. Web services ...

Design and analysis of algorithms are a fundamental topic in computer science and engineering education. Many algorithms courses include programming assignments to help students better understand the algorithms. Unfortunately, the use of traditional programming languages forces students to deal with details of data structures and supporting routines, rather than algorithm design. Python represe...

Pattern is a package for Python 2.4+ with functionality for web mining (Google + Twitter + Wikipedia, web spider, HTML DOM parser), natural language processing (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, k-means clustering, Naive Bayes + k-NN + SVM classifiers) and network analysis (graph centrality and visualization). It is well documente...

mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Py...

Modern day programmers are increasingly making the switch from traditional compiled languages such as C and C++ to interpreted dynamic languages such as Ruby and Python. Interpreted languages are gaining popularity due to their flexibility, portability, and ease of development. However, these benefits are sometimes counterbalanced by new security exposures that developers are often unaware of. ...