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The functionalities of the Python extension module and its application for the TGC trigger system are presented. Mastering Unity scripting. Mastering Unity Scripting is an advanced book intended for students, educators, and professionals familiar with the Unity basics as well as the basics of scripting. Whether you've been using Unity for a short time or are an experienced user, this book has something important and valuable to offer to help you improve your game development workflow.

Energy scripts and spaces. Demand Conference Lancaster Workshop 9. Space, site and scale in the making of energy demand Abstract: Energy scripts and spaces Tineke van der Schoor, Hanze University of Applied Sciences, Groningen Technology is infused with scripts that indicate how we as users should behave around, live in. Let's Write a Script. Writing both fictional scripts and documentaries are considered. Notes are also included to help the freelance writer who wishes to sell his work.

Pro Python System Administration. As time goes on, system administrators are presented with increasingly complicated challenges. In the early days, a team of engineers might have had to look after one or two systems. These days, one engineer can administer hundreds or thousands of systems.

System administrators are gradually replacing their tools with more advanced and flexible ones. One of the choices is Python. Structurally, Python is a modern, high-level language with a very clean syntax. Python comes with many built-in libraries that can make automation tasks easier. It also has extensive set of third-party libraries and a. Python geospatial development.

This is a tutorial style book that will teach usage of Python tools for GIS using simple practical examples and then show you how to build a complete mapping application from scratch. The book assumes basic knowledge of Python. Experienced Python developers who want to learn about geospatial concepts, work with geospatial data, solve spatial problems, and build mapbased applications.

Parallel programming with Python. A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world. If you are an experienced Python programmer and are willing to utilize the available computing resources by parallelizing applications in a simple way, then this book is for you.

You are required to have a basic knowledge of Python development to get the most of this book. Python Introduction and Installation. Full Text Available This first lesson in our section on dealing with Online Sources is designed to get you and your computer set up to start programming. We will focus on installing the relevant software — all free and reputable — and finally we will help you to get your toes wet with some simple programming that provides immediate results. Screencaps provided here come from Komodo Edit, but you can use any text editor capable of working with Python.

Python for secret agents. If you are a Python beginner who is looking to learn the language through interesting projects, this book is for you. A basic knowledge of programming and statistics is beneficial to get the most out of the book. Python profiling CERN Multimedia. Python code is much easier to write than C, yet much less efficient.

It's often assumed that Python is not performance-oriented and therefore making effort to optimize it doesn't pay off. While in many cases it's true, at a certain moment of a development, especially right before reaching production-ready state, it might turn out that a Python code runs slowly and one needs to find a culprit.

In this talk I'll not tell how to make your program faster. Instead, I'll show different techniques to look for the bottlenecks in the code. The presentation will be built around a live demo using real-life Python code. Adding Python to NEURON has the immediate benefit of making available a very extensive suite of analysis tools written for engineering and science. It also catalyzes NEURON software development by offering users a modern programming tool that is recognized for its flexibility and power to create and maintain complex programs.

At the same time, nothing is lost because all existing models written in Hoc, including graphical user interface tools, continue to work without change and are also available within the Python context. Python Switch Statement. It is thought by some that this is a deficiency in the language, and the control structure should be added.

This paper demonstrates that not only is the control structure not needed, but that the methods available in Python are more expressive than built in case statements in other high level languages. Manipulating Strings in Python. Full Text Available This lesson is a brief introduction to string manipulation techniques in Python. Knowing how to manipulate strings plays a crucial role in most text processing tasks. Java Script Pocket Reference. Java Script is a powerful, object-based scripting language that can be embedded directly in HTML pages. QlikView scripting.

This mini book offers information about QlikView scripting written in an easy-to-understand manner, and covers QlikView scripting from basic to advanced features in a compact format. If you are a basic orintermediate developer with some knowledge of QlikView applications and a basic understanding of QlikView scripting and data extraction and manipulation, this book will be great for you. If you are an advanced user, you can also use this book as a reference guide and teaching aid.

Numerical modeling now represents a prominent task of environmental studies. During the last decades, numerous commercial programs have been made available to environmental modelers. These software applications offer user-friendly graphical user interfaces that allow an efficient management of many case studies. However, they suffer from a lack of flexibility and closed-source policies impede source code reviewing and enhancement for original studies. Advanced modeling studies require flexible tools capable of managing thousands of model runs for parameter optimization, uncertainty and sensitivity analysis.

In addition, there is a growing need for the coupling of various numerical models associating, for instance, groundwater flow modeling to multi-species geochemical reactions. Researchers have produced hundreds of open-source powerful command line programs. However, there is a need for a flexible graphical user interface allowing an efficient processing of geospatial data that comes along any environmental study. Here, we present the advantages of using the free and open-source Qgis platform and the Python scripting language for conducting environmental modeling studies.

The interactive graphical user interface is first used for the visualization and pre-processing of input geospatial datasets. Python scripting language is then employed for further input data processing, call to one or several models, and post-processing of model outputs. Model results are eventually sent back to the GIS program, processed and visualized. This approach combines the advantages of interactive graphical interfaces and the flexibility of Python scripting language for data processing and model calls. The numerous python modules available facilitate geospatial data processing and numerical analysis of model outputs.

Once input data has been prepared with the graphical user interface, models may be run thousands of times from the command line with sequential or parallel calls. A Python interface to Diffpack-based classes and solvers. Python is a programming language that has gained a lot of popularity during the last 15 years, and as a very easy-to-learn and flexible scripting language it is very well suited for computa- tional science, both in mathematics and in physics.

It contains large class hierarchies for different solvers, grids, arrays, parallel computing and almost everyth Using these signals to characterize and locate neural activation in the brain is a challenge that requires expertise in physics, signal processing, statistics, and numerical methods. As part of the MNE software suite, MNE- Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple methods of data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions.

Moreover, MNE- Python is tightly integrated with the core Python libraries for scientific comptutation NumPy, SciPy and visualization matplotlib and Mayavi , as well as the greater neuroimaging ecosystem in Python via the Nibabel package. The code is provided under the new BSD license allowing code reuse, even in commercial products. Although MNE- Python has only been under heavy development for a couple of years, it has rapidly evolved with expanded analysis capabilities and pedagogical tutorials because multiple labs have collaborated during code development to help share best practices.

MNE- Python also gives easy access to preprocessed datasets, helping users to get started quickly and facilitating reproducibility of methods by other researchers. Automating tasks in protein structure determination with the clipper python module. Scripting programming languages provide the fastest means of prototyping complex functionality. Those with a syntax and grammar resembling human language also greatly enhance the maintainability of the produced source code. Furthermore, the combination of a powerful, machine-independent scripting language with binary libraries tailored for each computer architecture allows programs to break free from the tight boundaries of efficiency traditionally associated with scripts.

We shall also place an emphasis on best practices in automation, illustrating how this can be achieved with this new Python module. Simulation, high-level trigger, reconstruction, and analysis programs used by several experiments are developed using GAUDI. These applications can be configured and driven by simple Python scripts. The developed solution leverages from existing generic Python modules that support parallel processing. Naturally, the parallel version of a given program should produce results consistent with its serial execution.

The evaluation of several prototypes incorporating various parallelization techniques are presented and discussed. Mato, Pere; Smith, Eoin, E-mail: pere. High-throughput bioinformatic analysis tools are needed to mine the large amount of structural data via knowledge based approaches. The development of such tools requires a robust interface to access the structural data in an easy way. For this the Python scripting language is the optimal choice since its philosophy is to write an understandable source code.

All these factors combined facilitate the rapid development of bioinformatic tools that can perform quick and complex analyses of protein structures. Full Text Available Abstract Background High-throughput bioinformatic analysis tools are needed to mine the large amount of structural data via knowledge based approaches. Results p3d is an object oriented Python module that adds a simple yet powerful interface to the Python interpreter to process and analyse three dimensional protein structure files PDB files.

Conclusion p3d is the perfect tool to quickly develop tools for structural bioinformatics using the Python scripting language. Ascaridosis in captive reticulated python Python reticulatus Taiwo Both pythons had been infected with Ascaridia galli for a long period of time Python for scientists. Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets.

Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code usually in Fortran77 within the Python environment, thus avoiding the need to master the original code. In this new edition, several chapters have been re-written to reflect the IPython notebook style.

With an extended index, an entirely new chapter discussing SymPy and a substantial increase in the number of code snippets, researchers and research students will be able to quickly acquire all the skills needed for using Python effectively. Python and AWS Cookbook. If you intend to use Amazon Web Services AWS for remote computing and storage, Python is an ideal programming language for developing applications and controlling your cloud-based infrastructure. This cookbook gets you started with more than two dozen recipes for using Python with AWS, based on the author's boto library.

You'll find detailed recipes for working with the S3 storage service as well as EC2, the service that lets you design and build cloud applications. Each recipe includes a code solution you can use immediately, along with a discussion of why and how the recipe works. You al. Python for finance. Python is a free and powerful tool which can be used to build a financial calculator and price options, and can also explain many trading strategies and test various hypotheses.

This book explores the basics of programming in Python. It is a step-by-step tutorial that will teach you, with the help of concise, practical programs, how to run various statistic tests. With this book, you will learn. Practical Maya programming with Python. If you are a developer looking to build a powerful system using Python and Maya's capabilities, then this book is for you.

Practical Maya Programming with Python is perfect for intermediate users with basic experience in Python and Maya who want to better their knowledge and skills. Which cutting-edge projects are using Python? What were the highlights of this most recent forum? PyRosetta: a script -based interface for implementing molecular modeling algorithms using Rosetta. PyRosetta is a stand-alone Python -based implementation of the Rosetta molecular modeling package that allows users to write custom structure prediction and design algorithms using the major Rosetta sampling and scoring functions.

PyRosetta contains Python bindings to libraries that define Rosetta functions including those for accessing and manipulating protein structure, calculating energies and running Monte Carlo-based simulations. PyRosetta can be used in two ways: i interactively, using i Python and ii script -based, using Python scripting. Interactive mode contains a number of help features and is ideal for beginners while script -mode is best suited for algorithm development. PyRosetta has similar computational performance to Rosetta, can be easily scaled up for cluster applications and has been implemented for algorithms demonstrating protein docking, protein folding, loop modeling and design.

A tutorial, user's manual and sample scripts demonstrating usage are also available on the web site. Summary: PyRosetta is a stand-alone Python -based implementation of the Rosetta molecular modeling package that allows users to write custom structure prediction and design algorithms using the major Rosetta sampling and scoring functions. Contact: pyrosetta graylab. Python data science essentials. If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python , this book will get you started in data science.

Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. Learning robotics using Python. If you are an engineer, a researcher, or a hobbyist, and you are interested in robotics and want to build your own robot, this book is for you. Readers are assumed to be new to robotics but should have experience with Python.

Python and computer vision. This paper discusses the use of Python in a computer vision CV project. We begin by providing background information on the specific approach to CV employed by the project. The terms 'object' and 'blob' are used interchangeably, both referring to an entity extracted from an image.

For l , we provide a schema definition and discuss how the various tables interact to represent objects in the database as tree structures. The paper concludes with a vision of the future use of Python for the CV project. Python reference manual. Its syntax is put together from constructs borrowed from a variety of other languages;. Python at CERN. Only 1 in a million collisions is interesting. It requires a fast programming language to analyze and filter this amount of data. Is Python such a language? Does it mean there is no place for Python in one of the largest scientific facilities in the world?

Quite the contrary. The ease of use and a very low learning curve makes Python a perfect programming language for many physicists and other people without the computer science background. CERN does not only produce large amounts of data. The interesting bits of data have to be stored, analyzed, shared and published. Work of many scientists across various research facilities around the world has to be synchronized. This is the area where Python flourishes. The U. Geological Survey USGS has a long history of developing and maintaining free, open-source software for hydrological investigations.

Automating this sequence of steps leads to models that can be reproduced directly from original data and rediscretized in space and time. This is made possible by the flexible object-oriented design capabilities available in Python , the ability to call FORTRAN code from Python , and the ease with which linear systems of equations can be solved using SciPy, for example. Once new features are added to MODFLOW, Python can then be used to automate comprehensive regression testing and ensure reliability and accuracy of new versions prior to release. The development and use of climate models often requires the visualization of geo-referenced data.

Creating visualizations should be fast, attractive, flexible, easily applicable and easily reproducible. There is a wide range of software tools available for visualizing raster data, but they often are inaccessible to many users e. In order to facilitate easy visualization of geo-referenced data, we developed a new framework called "psyplot," which can aid earth system scientists with their daily work.

It is purely written in the programming language Python and primarily built upon the python packages matplotlib, cartopy and xray. The package can visualize data stored on the hard disk e. Psyplot visualizes 2D scalar and vector fields, enabling the user to easily manage and format multiple plots at the same time, and to export the plots into all common picture formats and movies covered by the matplotlib package.

The package can currently be used in an interactive python session or in python scripts , and will soon be developed for use with a graphical user interface GUI. Finally, the psyplot framework enables flexible configuration, allows easy integration into other scripts that uses matplotlib, and provides a flexible foundation for further development. Audiovisual Script Writing. In audiovisual writing the writer must first learn to think in terms of moving visual presentation. The writer must research his script , organize it, and adapt it to a limited running time.

By use of a pleasant-sounding narrator and well-written narration, the visual and narrative can be successfully integrated. There are two types of script…. Revising the worksheet with L3: a language and environment foruser- script interaction. This paper describes a novel approach to the parameter anddata handling issues commonly found in experimental scientific computingand scripting in general. The approach is based on the familiarcombination of scripting language and user interface, but using alanguage expressly designed for user interaction and convenience.

The L3language combines programming facilities of procedural and functionallanguages with the persistence and need-based evaluation of data flowlanguages. It is implemented in Python , has access to all Pythonlibraries, and retains almost complete source code compatibility to allowsimple movement of code between the languages. The worksheet interfaceuses metadata produced by L3 to provide selection of values through thescriptit self and allow users to dynamically evolve scripts withoutre-running the prior versions.

Scripts can be edited via text editors ormanipulated as structures on a drawing canvas. Computed values are validscripts and can be used further in other scripts via simplecopy-and-paste operations. The implementation is freely available underan open-source license. Mastering the Nmap scripting engine. If you want to learn to write your own scripts for the Nmap Scripting Engine, this is the book for you. It is perfect for network administrators, information security professionals, and even Internet enthusiasts who are familiar with Nmap.

Decoración cargada de estilo, personalidad y calidad.

Selected Landscape Plants. Slide Script. This slide script , part of a series of slide scripts designed for use in vocational agriculture classes, deals with commercially important woody ornamental landscape plants. Included in the script are narrations for use with a total of slides illustrating 92 different plants. Several slides are used to illustrate each plant: besides a view of…. Stimfit: quantifying electrophysiological data with Python.

Full Text Available Intracellular electrophysiological recordings provide crucial insights into elementary neuronal signals such as action potentials and synaptic currents. Analyzing and interpreting these signals is essential for a quantitative understanding of neuronal information processing, and requires both fast data visualization and ready access to complex analysis routines. To achieve this goal, we have developed Stimfit, a free software package for cellular neurophysiology with a Python scripting interface and a built-in Python shell. The program supports most standard file formats for cellular neurophysiology and other biomedical signals through the Biosig library.

To quantify and interpret the activity of single neurons and communication between neurons, the program includes algorithms to characterize the kinetics of presynaptic action potentials and postsynaptic currents, estimate latencies between pre- and postsynaptic events, and detect spontaneously occurring events. We validate and benchmark these algorithms, give estimation errors, and provide sample use cases, showing that Stimfit represents an efficient, accessible and extensible way to accurately analyze and interpret neuronal signals.

Deep learning with Python. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. He has been working with deep neural Java Script Cookbook. Why reinvent the wheel every time you run into a problem with Java Script? This cookbook is chock-full of code recipes that address common programming tasks, as well as techniques for building web apps that work in any browser.

Just copy and paste the code samples into your project -- you'll get the job done faster and learn more about Java Script in the process. You'll find recipes for. Scripting Professional Identities. We find that individuals are active authors of their own identity scripts This article examines how individual accountants subjectively interpret competing logics of professionalism as they transform from practicing accountants to managerial roles and as their organizations transform from traditional professional partnerships to more corporate organizational forms.

We further observe considerable interpretive variation in how identity scripts are reproduced and enacted. Scripting capabilities and application programming interfaces APIs are becoming commonly available in modern treatment planning systems. Such tools are powerful extensions, allowing automation of routine clinical tasks and supporting research, particularly research involving repetitive tasks on large patient populations.

NET framework or Python. Scripts deployed in a clinical environment must be commissioned and validated like any other software tool. This session will provide an overview of scripting applications and a discussion of best practices, followed by a practical introduction to the scripting capabilities of three commercial treatment planning systems. Learning Objectives: Understand the scripting capabilities available in several treatment planning systems Learn how to get started using scripting capabilities Understand the best practices for safe script deployment in a clinical environment R.

Popple, Varian Medical Systems has provided research support unrelated to the topic of this session. Cardan, Varian Medical Systems for grant research, product evaluation, and teaching honorarium. Writing the Scripted Spaces. In the following, I will take a critical look at the concept of virtual reality, and following literary experiments with the computer, I will argue for - and develop - an alternative concept of scripted space. Python algorithms mastering basic algorithms in the Python language.

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python , this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs.

Well-known algorithms and data struc. Installing Python Modules with pip. This lesson shows you how to download and install Python modules. As of Python 2. This tutorial will be helpful for anyone using older versions of Python which are still quite common. Mastering object-oriented Python. This book follows a standard tutorial approach with approximately code samples spread through the 19 chapters. This amounts to over 5, lines of code that illustrate each concept. This book is aimed at programmers who have already learned the basics of object-oriented Python and need to write more sophisticated, flexible code that integrates seamlessly with the rest of Python.

This book assumes a computer science background, with experience of common Python design patterns. Sampling the space of model parameters is a key aspect of simulations and numerical experiments. This collective storage allows fast and convenient loading of data for further analyses. Besides these formats, users can easily extend the toolkit to allow customized data types. Full Text Available pypet Python parameter exploration toolkit is a new multi-platform Python toolkit for managing numerical simulations.

The spectacle of the ball python Python regius. A detailed morphological description of the spectacle of the ball python Python regius is provided. Additionally, eyes of nine live snakes were examined using optical coherence tomography OCT We introduce Pyvolve, a flexible Python module for simulating genetic data along a phylogeny using continuous-time Markov models of sequence evolution. Easily incorporated into Python bioinformatics pipelines, Pyvolve can simulate sequences according to most standard models of nucleotide, amino-acid, and codon sequence evolution.

All model parameters are fully customizable. This flexibility makes Pyvolve a convenient framework not only for simulating sequences under a wide variety of conditions, but also for developing and testing new evolutionary models. Full Text Available We introduce Pyvolve, a flexible Python module for simulating genetic data along a phylogeny using continuous-time Markov models of sequence evolution. Expyriment: a Python library for cognitive and neuroscientific experiments.

The major goal is to provide a well-structured Python library for script -based experiment development, with a high priority being the readability of the resulting program code. Furthermore, it offers a hierarchical design structure, which allows for an intuitive transition from the experimental design to a running program. It is therefore also suited for students, as well as for experimental psychologists and neuroscientists with little programming experience. Python is an Object Oriented programming language and widely used nowadays.


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This report describes how to extend a functional database system Amos II for integration with Python. Several possibilities are analyzed to combine the Amos II C external interfaces with those of Python. Based on these discussions, new functionality has been added to the Python language by implementing a Python C external module.


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Pythons in Burma: Short-tailed python Reptilia: Squamata. Short-tailed pythons , Python curtus species group, occur predominantly in the Malayan Peninsula, Sumatra, and Borneo. The discovery of an adult female in Mon State, Myanmar, led to a review of the distribution of all group members spot-mapping of all localities of confirmed occurrence and an examination of morphological variation in P. The resulting maps demonstrate a limited occurrence of these pythons within peninsular Malaya, Sumatra, and Borneo with broad absences in these regions.

Our small samples limit the recognition of regional differentiation in the morphology of P. Linux shell scripting cookbook. This book is written in a Cookbook style and it offers learning through recipes with examples and illustrations. Each recipe contains step-by-step instructions about everything necessary to execute a particular task. The book is designed so that you can read it from start to end for beginners, or just open up any chapter and start following the recipes as a reference for advanced users.

If you are a beginner or an intermediate user who wants to master the skill of quickly writing scripts to perform various tasks without reading the entire manual, this book is for you. You can start writing scri. This first lesson in our section on dealing with Online Sources is designed to get you and your computer set up to start programming. Screencaps provided here come from Komodo Simplifying the parallelization of scientific codes by a function-centric approach in Python.

The purpose of this paper is to show how existing scientific software can be parallelized using a separate thin layer of Python code where all parallelization-specific tasks are implemented. We provide specific examples of such a Python code layer, which can act as templates for parallelizing a wide set of serial scientific codes. The use of Python for parallelization is motivated by the fact that the language is well suited for reusing existing serial codes programmed in other languages.

The extreme flexibility of Python with regard to handling functions makes it very easy to wrap up decomposed computational tasks of a serial scientific application as Python functions. Many parallelization-specific components can be implemented as generic Python functions, which may take as input those wrapped functions that perform concrete computational tasks. The overall programming effort needed by this parallelization approach is limited, and the resulting parallel Python scripts have a compact and clean structure.

The usefulness of the parallelization approach is exemplified by three different classes of application in natural and social sciences. Python tools for Visual Studio. This is a hands-on guide that provides exemplary coverage of all the features and concepts related to PTVS. The book is intended for developers who are aiming to enhance their productivity in Python projects with automation tools that Visual Studio provides for the. Net community.

Some basic knowledge of Python programming is essential. The definitive guide to Jython Python for the Java platform. Jython is an open source implementation of the high-level, dynamic, object-oriented scripting language Python seamlessly integrated with the Java platform. Jython is freely available for both commercial and noncommercial use and is distributed with source code.

Jython is complementary to Java. The Definitive Guide to Jython, written by the official Jython team leads, covers the latest Jython 2. This book begins with a brief introduction to the language and then journeys thr. Writing faster Python. Did you know that Python preallocates integers from -5 to ? If you want to learn more about this kind of optimizations then, … well, probably this presentation is not for you : Instead of going into such small details, I will talk about more "sane" ideas for writing faster code.

Interest in Python as a rapid application development environment continues to grow. Many large experimental scientific facilities have adopted Python for beam commissioning and the operation. The EPICS control system framework has become the de facto standard for the control of large experimental facilities, where it is in use in over facilities. SuperCode is no longer actively supported and there has for some time been interest in replacing it by a modern scripting language, while preserving the feel of the original ORBIT program.

In this paper, we describe a new version of ORBIT where the role of SuperCode is assumed by Python , a free, well-documented and widely supported object-oriented scripting language. Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit. Full Text Available Abstract Background Scripting languages such as Python are ideally suited to common programming tasks in cheminformatics such as data analysis and parsing information from files. We describe Pybel, a Python module that provides access to the OpenBabel toolkit. Results Pybel wraps the direct toolkit bindings to simplify common tasks such as reading and writing molecular files and calculating fingerprints.

Extensive use is made of Python iterators to simplify loops such as that over all the molecules in a file. Conclusion Pybel allows cheminformaticians to rapidly develop Python scripts that manipulate chemical information. It is open source, available cross-platform, and offers the power of the OpenBabel toolkit to Python programmers. Purpose: Script training for aphasia involves repeated practice of relevant phrases and sentences that, when mastered, can potentially be used in other communicative situations.

Although an increasingly popular approach, script development can be time-consuming. We provide a detailed summary of the evidence supporting this approach. We then…. Endocardial fibrosarcoma in a reticulated python Python reticularis. A female, reticulated python Python reticularis of unknown age was presented with a history of lethargy, weakness, and distended coelom. Physical examination revealed severe dystocia and stomatitis. The reticulated python was euthanized due to a poor clinical prognosis. Based on histopathologic and transmission electron microscopic findings, the diagnosis of endocardial fibrosarcoma was made.

It integrates reference sequences and annotations from Ensembl, genomic polymorphisms from the dbSNP database and data from next-gen sequencing into an easy to use, memory-efficient and fast framework, therefore allowing the user to easily explore subject-specific genomes and proteomes. Compared to a standalone program, pyGeno gives the user access to the complete expressivity of Python , a general programming language. Its range of application therefore encompasses both short scripts and large scale genome-wide studies. DAL Algorithms and Python. TDAQ system consists of about computers and more than applications which, in a coordinated manner, provide the data-taking functionality of the overall system.

There is a number of online services required to configure, monitor and control the ATLAS data taking. In particular, the configuration service is used to provide configuration of above components. Some information has quite complicated structure, so it's extraction requires writing special algorithms. The goal of the projec Java Script programmer's reference. Java Script Programmer's Reference is an invaluable resource that won't stray far from your desktop or your tablet! Acariasis on pet Burmese python , Python molurus bivittatus in Malaysia.

To identify the acari present on pet Burmese pythons in Malaysia and to determine whether there is any potential public health risk related to handling of the snakes. Two sub-adult Burmese pythons kept as pets for a period of about 6 to 7 months by different owners, were brought to an exotic animal practice for treatment. On a complete medical examination, some ticks and mites acari were detected beneath the dorsal and ventral scales along body length of the snakes.

Ticks were directly identified and mites were mounted prior to identification. A total of 12 ticks represented by 3 males, 2 females and 7 nymphal stages of Rhipicephalus sanguineus R. Only adult female mites were found. These mites are common ectoparasites of Burmese pythons. Both the acarine species found on the Burmese pythons are known vectors of pathogens. This is the first record that R. Published by Elsevier B. All rights reserved. Scripting in radiotherapy treatment planning systems not only simplifies routine planning tasks but can also be used for clinical research.

Treatment planning scripting can only be utilized in a system that has a built-in scripting interface. Among the commercially available treatment planning systems, Pinnacle Philips and Raystation Raysearch Lab. CMS XiO Elekta is a widely used treatment planning system in radiotherapy centres around the world, but it does not have an interface that allows the user to script radiotherapy plans.

Shell Scripting Tutorial

The package was organized as a hierarchy of different classes objects. Each class object corresponds to a plan object such as the beam of a clinical radiotherapy plan. The interface of classes was implemented as object functions.

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This scripting package has been used in several research projects including commissioning of a beam model, independent three-dimensional dose verification for IMRT plans and a setup-uncertainty study. Ease of use and high-level functions provided in the package achieve a useful research tool. It was released as an open-source tool that may benefit the medical physics community. OpenSees, an open source finite element software framework, has been used broadly in the earthquake engineering community for simulating the seismic response of structural and geotechnical systems.

The framework allows users to perform finite element analysis with a scripting language and for developers to create both serial and parallel finite element computer applications as interpreters. For the last 15 years, Tcl has been the primary scripting language to which the model building and analysis modules of OpenSees are linked.

To provide users with different scripting language options, particularly Python , the OpenSees interpreter interface was refactored to provide multi-interpreter capabilities. This refactoring, resulting in the creation of OpenSeesPy as a Python module, is accomplished through an abstract interface for interpreter calls with concrete implementations for different scripting languages. Through this approach, users are able to develop applications that utilize the unique features of several scripting languages while taking advantage of advanced finite element analysis models and algorithms.

Python for Google app engine. If you are a Python developer, whether you have experience in web applications development or not, and want to rapidly deploy a scalable backend service or a modern web application on Google App Engine, then this book is for you. MDSplus objects- Python implementation. Fredian, T.

MDSplus is a data acquisition and analysis software package used widely throughout the international fusion research community. During the past year, an important set of enhancements were designed under the project name of 'MDSobjects' which would provide a common, powerful application programming interface API to MDSplus in programming languages with object-oriented capabilities.

This paper will discuss the Python language implementation of this API and some of the capabilities that this implementation provides for data storage and retrieval using the MDSplus system. Now that Python is aware of the complex data structures in MDSplus such as Signals, the language becomes a very good candidate for applications ranging from data acquisition device support to analysis and visualization.

Pynamic: the Python Dynamic Benchmark. Python is widely used in scientific computing to facilitate application development and to support features such as computational steering. Making full use of some of Python 's popular features, which improve programmer productivity, leads to applications that access extremely high numbers of dynamically linked libraries DLLs.

As a result, some important Python -based applications severely stress a system's dynamic linking and loading capabilities and also cause significant difficulties for most development environment tools, such as debuggers. Furthermore, using the Python paradigm for large scale MPI-based applications can create significant file IO and further stress tools and operating systems. In this paper, we present Pynamic, the first benchmark program to support configurable emulation of a wide-range of the DLL usage of Python -based applications for large scale systems.

Pynamic has already accurately reproduced system software and tool issues encountered by important large Python -based scientific applications on our supercomputers. Pynamic provided insight for our system software and tool vendors, and our application developers, into the impact of several design decisions.

As we describe the Pynamic benchmark, we will highlight some of the issues discovered in our large scale system software and tools using Pynamic. Full Text Available This paper describes our experiences in building a Python automation framework. Specifically, the automation framework is used to support verification and data collection scripts.

The scripts control various test equipments in addition to the device under test DUT to characterize a specific performance with a specific configuration or to evaluate the correctness of the behaviour of the DUT. The specific focus on this paper is on documenting our experiences in building an automation framework using Python : on the purposes, goals and the benefits, rather than on a tutorial of how to build such a framework. Learning Action Script If you're new to Action Script 3. Designers, developers, and programmers alike will find Learning Action Script 3.

You'll learn the language by getting a clear look at essential topics such as logic, event handling, displaying content, classes, and much more.

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Updated for Flash Professional CS5, this revised and expanded edition delivers hands-on exercises and full-color code samples to help you increase your abilities as you progress through the book. Benchmarking Java Script Frameworks. Java Script programming language has been in existence for many years already and is one of the most widely known, if not, the most used front-end programming language in web development. However, Java Script is still evolving and with the emergence of Java Script Frameworks JSF , there has been a major change in how developers develop software nowadays.

Developers these days often use more than one framework in order to fulfil their job which has given rise to the problem for developers when i High Performance Java Script. If you're like most developers, you rely heavily on Java Script to build interactive and quick-responding web applications. The problem is that all of those lines of Java Script code can slow down your apps.

This book reveals techniques and strategies to help you eliminate performance bottlenecks during development. You'll learn how to improve execution time, downloading, interaction with the DOM, page life cycle, and more. Coffee Script application development. Coffee Script Application Development is a practical, hands-on guide with step-by-step instructions. Follow the smooth and easy tutorial approach, covering examples that build in complexity. By the final chapter you'll be wondering why you didn't try Coffee Script sooner.

If you are a Java Script developer who wants to save time and add power to your code, then this is the book that will help you do it. With minimal fuss you will learn a whole new language which will reduce your application development time from weeks to days.

Java Script Web Applications. Building rich Java Script applications that bring a desktop experience to the Web requires moving state from the server to the client side-not a simple task. This hands-on book takes proficient Java Script developers through all the steps necessary to create state-of-the-art applications, including structure, templating, frameworks, communicating with the server, and many other issues. Throughout the book, you'll work with real-world example applications to help you grasp the concepts involved.

Learn how to create Java Script applications that offer a more responsive and improved experience. Conclusions ACPYPE is a tool that simplifies the automatic generation of topology and parameters in different formats for different molecular mechanics programmes, including calculation of partial charges, while being object oriented for integration with other applications.

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ACPYPE is a tool that simplifies the automatic generation of topology and parameters in different formats for different molecular mechanics programmes, including calculation of partial charges, while being object oriented for integration with other applications. The use of the Python scripting language for scientific applications and in particular to solve partial differential equations is explored.

The program allows for structured or unstructured meshes. All functions defining the elliptic operator are user supplied and so are the boundary conditions, which can be of Dirichlet, Neumann or Robbins type. Other key features of the Python language that have been widely used include: operator over loading, error handling, array slicing, and the Tkinter module for building graphical use interfaces.

A second application focuses on a solution of the toroidal Laplace equation coupled to a magnetohydrodynamic stability code, a problem arising in the context of magnetic fusion research. Respiratory disease in ball pythons Python regius experimentally infected with ball python nidovirus. Circumstantial evidence has linked a new group of nidoviruses with respiratory disease in pythons , lizards, and cattle. We conducted experimental infections in ball pythons Python regius to test the hypothesis that ball python nidovirus BPNV infection results in respiratory disease.

Three ball pythons were inoculated orally and intratracheally with cell culture isolated BPNV and two were sham inoculated. Antemortem choanal, oroesophageal, and cloacal swabs and postmortem tissues of infected snakes were positive for viral RNA, protein, and infectious virus by qRT-PCR, immunohistochemistry, western blot and virus isolation. Clinical signs included oral mucosal reddening, abundant mucus secretions, open-mouthed breathing, and anorexia.

Histologic lesions included chronic-active mucinous rhinitis, stomatitis, tracheitis, esophagitis and proliferative interstitial pneumonia. Control snakes remained negative and free of clinical signs throughout the experiment. Our findings establish a causal relationship between nidovirus infection and respiratory disease in ball pythons and shed light on disease progression and transmission.

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Published by Elsevier Inc. Humoral regulation of heart rate during digestion in pythons Python molurus and Python regius. Pythons exhibit a doubling of heart rate when metabolism increases several times during digestion. Pythons , therefore, represent a promising model organism to study autonomic cardiovascular regulation during the postprandial state, and previous studies show that the postprandial tachycardia is governed by a release of vagal tone as well as a pronounced stimulation from nonadrenergic, noncholinergic NANC factors.

Here we show that infusion of plasma from digesting donor pythons elicit a marked tachycardia in fasting snakes, demonstrating that the NANC factor resides in the blood. Injections of the gastrin and cholecystokinin receptor antagonist proglumide had no effect on double-blocked heart rate or blood pressure. Histamine has been recognized as a NANC factor in the early postprandial period in pythons , but the mechanism of its release has not been identified. Mast cells represent the largest repository of histamine in vertebrates, and it has been speculated that mast cells release histamine during digestion.

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