The Python Papers Anthology
Not a member yet
207 research outputs found
Sort by
Bactome, I: Python in DNA Fingerprinting
Get PDFBactome is a collection of Python functions to find primers suitable for DNA fingerprinting, determine restriction digestion profile, and analyse the resulting DNA fingerprint features as migration distance of the bands in gel electrophoresis. An actual use case will be presented as a case study. These codes are licensed under Lesser General Public Licence version 3
An atomic multiplet code for the calculation of various atomic properties
Get PDFWe describe anatomic multiplet code (HTAC) for the calculation of various atomic radiative processes, including energy levels, oscillator strength, radiative transition rates, mixing coefficients for any rank of multipole transitions, and other quantities
Python for Collective Intelligence and Collaborative Filtering
Get PDFThis paper will define the two terms Collective Intelligence and Collaborative Filtering and discuss how these two ideas can be used to create personally relevant filters allowing end users more personalized access to information on their chosen topics of interest. In addition various mathematical models used to filter data and compare preferences and their corresponding pythonic implementations will be discussed. Finally a simple example using web APIs and Collective Intelligence algorithms will be demonstrated to provide an idea of the type of things that can be achieved, relatively easily, using python for Collective Intelligence and Collaborative Filtering
VPython Application To The Computer-aided Drug Design Problem
Get PDFQuantitative structure-activity relationship (QSAR) is the study of the mathematical relationship between the chemical and geometrical characteristics structure of a lead compound with its biological activity. Thestructuresof thelead compounds and their receptors could be represented with 3D computer models. VPython is a package designed with the ease of making and manipulating such models. Researchers can then modify such drug molecular models for better biological activity in silico before synthesizing the drug. The value of using this strategy in drug discovery is to reduce costs and time in the prediction of drug activity
Creating Physics Aware Games using PyGame and PyODE
Get PDFThis paper is a tutorial on how to use a popular physics engine and tie it up to a simple 2D game. It is structured as a tutorial for creating a simple game that uses the engine and a graphics library. The graphics library being used will be PyGame (which are Python bindings for the popular SDL library originally developed by Loki Entertainment Software) and the physics engine being used will be PyODE (which are Python bindings for the Open Dynamics Engine). A few toy programs will be written and discussed to introduce the components and the bulk of the paper will be the development of a simple game. The game which will be developed is a clone of The incredible machine (which is a famous game published by Sierra Entertainment in 1992)
ShruthLaikh: Employing Python to Develop Vocabulary Enhancing Application
Get PDFThis paper presents how the power of Python, its various modules and Artificial Intelligence techniques can be integrated into a very useful and effective English spelling-correcting and vocabulary-enhancing application. The objective is to use the Python interface for various functionalities like text to speech, graphical user interface and sqlite3 database to integrate them into a single useful tool. The application is named as ShruthLaikh, which is a Hindi word for dictations. It has been demonstrated how this simple yet intelligent tool can help users to absorb word spellings in a very effective manner at the same time enhancing their retaining power. It also proves how Python as a programming language can be utilized effectively for the creation of powerful and user-friendly applications that can assist in more ways than one in revolutionizing the educational scene in nations across the world and the role that Python can play in imparting education in an innovative way
Experiences in Building Python Automation Framework for Verification and Data Collections
Get PDFThis 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