The Python Papers Anthology
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207 research outputs found
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A Rails / Django Comparison
Get PDFRuby on Rails (Rails) is the dominant web programming framework for Ruby and, even outside the Ruby community, is considered the epitome of the latest generation of high-productivity, open source web development tools. Django is one of many competing web development frameworks for Python. It is notable, first, for being highly regarded amongst Python programmers, and second, for being one of the few of the new generation of framework that does not ape Ruby on Rails. Both Rails and Django claim greatly enhanced productivity, compared with more traditional web development frameworks.
In this paper, we compare the two frameworks from the point of view of a developer attempting to choose one of the two frameworks for a new project
The Python interpreter as a framework for integrating scientific computing software-components
Get PDFThe focus of the Molecular Simulation Laboratory is to model molecularinteractions. In particular, we are working on automated docking and molecular visualization. Building and simulating complex molecular systems requires the tight interoperation of a variety of software tools originating from various scientific disciplines and usually developed independently of each other. Over the last ten years we have evolved a strategy for addressing the formidable software engineering problem ofintegrating such heterogeneous software tools. The basic idea is that the Python interpreter serves as the integration framework and provides a powerful and flexible glue for rapidly prototyping applications from reusable software components (i.e. Python packages). We no longer think in terms of programs, but rather in terms of packages which can be loaded dynamically into the interpreter when needed, and instantly extend our framework (i.e. the Python interpreter) with new functionality. We have written more than 30 packages (>2500 classes) providing support for applications ranging from scientific visualization and visual programming to molecular simulations and virtual reality. Moreover, some of our components have been reused successfully by otherlaboratories for their own research. Applications created from our software components have been distributed to over 15000 users around the world. In this paper we describe our approach and its various applications, discuss the reasons that make this approach so successful, and present lessons learns and pitfalls to avoid in order to maximize the reusability and interoperability of software components
pypk - A Python extension module to handle chemical kinetics in plasma physics modeling
Get PDFPLASMAKIN is a package to handle physical and chemical data used in plasma physics modeling and to compute gas-phase and gas-surface kinetics data: particle production and loss rates, photon emission spectra and energy exchange rates. A large number of species properties and reaction types are supported, namely: gas or electron temperature dependent collision rate coefficients, vibrational and cascade levels, evaluation of branching ratios, superelastic and other reverse processes, three-body collisions, radiation imprisonment and photoelectric emission. Support of non-standard rate coefficient functions can be handled by a user-supplied shared library. The main block of the PLASMAKIN package is a Fortran module that can be included in an user's program or compiled as a shared library, libpk. pypk is a new addition to the package and provides access to libpk from Python programs. It is build on top of the ctypes foreign function library module and is prepared to work with several Fortran compilers. However pypk is more than a wrapper and provides its own classes and functions taking advantage of Python language characteristics. Integration with Python tools allows substantial productivity gains on program development and insight on plasma physics problems