Open Source Python Scientific/Engineering Software - Page 71

PyOGCLib is a package of classes that implement specifications of the Open GIS Consortium (OGC), allowing Python applications to spatially plug-and-play with other geoprocessing systems.

Application for data reduction using the 1.6 m telescope Perkin-Elmer and the spectrograph cassegrain

PyPak is a Python library for communication with Campbell Scientific dataloggers through the PakBus interface over TCP/IP or serial lines.

PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.

GUI program to perform multiple searches on proteins for specific groups of amino acids in specific protein regions and to be able to filter by signalp scores. I hope to add lots of new functionality including the ability to create local database

PyPhys is a set of physical quantity classes written in Python. The classes represent physical quantities (like length, pressure, energy, etc.) that can be assigned and extracted in many different units.

PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.

PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!

PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK.

This project includes several Python and bash scripts designed to connect Geiger Muller counters to report their results to RadMon.org. Soon the script will also feature local logging, graphing and alerting. Just because the Cold War is "over" does not mean that there is no more threat of a radiological attack. In fact, the U.S. Homeland Security Council lists the "Detonation of a 10 Megaton Improvised Nuclear Device" as "Scenario #1" among the top 15 threats to American security. Or, if you do not believe that a nuclear bomb is likely, what about all the Chernobyl-style Soviet-era nuclear power stations still in service? The point is: let us work together as free people to jointly report and track radiation levels around the globe. Information is power--and more importantly, information can save lives. This project is known to work on Raspberry Pi and various Linux distributions. Both PyRadMon and RadMon.org are completely free, though donations are always appreciated.

PySDB is simple to use field data manager for structural geologists written in Python. Data are traditionally organized by sites and rock units, classified by structural types and could be freely tagged by user-defined labels.

PySOS, a python-based implementation of the OGC SOS standard. PySOS is a lightweight set of scripts that work in conjunction with a web server to serve data from a relational database.

As of 2012, the source code is hosted in GitHub https://github.com/tessonec/PySPG PySPG is both, a set of python modules and a program that allows the user to run a program systematically changing the parameters that them receive. Originally conceived to generate parameters for running simulations in computational physics.

A module containing python wrappers for the SUite of Non-linear DIfferential/ALgebraic Solvers (SUNDIALS), using ctypes.

A python class and GUI for visualization of data generated by the medical treatment planning software TRiP. Project has been moved to http://github.com/pytrip/pytrip on 15.06.2016

PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions.

Developed on Python to leverage state-of-the-art extensibility and easily integrated plugins Able to use low cost robots with the accuracy and dexterity of much more expensive robots, achieved in part by: a) Ability to drive movement by inexpensive DC gear head motors, including the inherent ability to specify movement by applied force rather than strict space/time control that steppers impose. b) Arms and linkages don't have to have super tight tolerances, because accuracy is achieved by tightly integrated visual feedback that's easy to program and low complexity processing. Ability to program easily with a GUI and visual interface that sees things from the robots' camera perspective. Flexible use of coordinate spaces that make programming arms with 6 or more degrees of freedom super easy. Got a bot arm with 13 linkages that can reach around corners? Easy. Simple arm with only 2 degrees of freedom, with one polar and one cartesian? Any arm geometry works.

PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects.

PyXPA is a Python interface to the XPA library (http://hea-www.harvard.edu/RD/xpa/ developed by the SAO/HEAD R&D Group (http://hea-www.harvard.edu/RD/)).

Python extension module based on C-XSC (C++ Language eXtensions for Scientific Computation) and the associated Toolbox. Provides a real and complex interval arithmetic with verified results for numerical applications.

PyZgoubi is an interface to the Zgoubi particle tracking code written in python. It aims to ease the use of Zgoubi by providing a simple interface to create beam line elements and particles, and to automate running and analysing of simulations.

pyanpha is a shell-based program, which applies the multi-wavelength anomalous diffraction technique to Surface Diffraction. It enables one to calculate the phases of the structure factors of crystal truncation rods when anomalous scatterers are present in the thin film. Functionality extends to standalone simulations. It was coined pyanpha which is an acronym for PYthon ANomalous PHAsing and it is written in python.

A collection of modules and enduser tools designed to help design, test and use system models. While my research (hence, the examples) is focused on hydro-ecological systems, the program can be used on any system characterized by ODEs (and soon PDEs?)

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

Allows one to program fablab (factory and/or laboratory) in the same way as we program computer. Imagine commands like: "dim screw12 as new screw" or "mold(form_piston_081212, brass)" or ''gear(3)=lasercut(steel2,"biggear.gc")". This approach will let us program highly automated and self-deploying or even self-replicating factories. I am more engineer than programmer and just beginner in python. So it looks like community help will be needed :)