Search Results for "python-kinterbasdb" - Page 3

There are functions for numerical integration of the standard normal probability distribution. They can be used to find probabilities, find z-alpha values, calculate confidence interval, etc. New functionality I wish to add are hypothesis testing and calculation of p-value, type I & II errors, etc. These functions would come in handy to anyone taking introductory or intermediate-level courses in probability, statistics and data analysis. There are several numerical integration techniques...

Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the...

...It employs metabolic labeling by BrU of newly synthesized RNAs to chase chronological decreases of BrU-labeled RNA (Pulse-chase labeling), followed by immunoprecipitation with antibody for BrU, construction of cRNA library for High-throughput sequencing and computational data analysis. -What is BriPy? BriPy package is a BRIC-seq data analysis tool written in Python. It can calculate RNA half-life for each transcript and draw graphs describing the kinetics of RNA decay. In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). -Prerequisites To use BriPy package, you will need Python and the following extension packages. ...

MoDAVE aims at providing data analysis and visualization extensions to Mosaic datasets, including cubed sphere data, to the Climate Data Analysis Tools (CDATA) in particular.

jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org)

The pySpec project is a set of data analysis routines written in python for analysis of x-ray diffraction data produced by the SPEC X-Ray Diffraction and Data Acquisition software. This repo has moved to : https://github.com/stuwilkins/pyspec

This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python.

Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem.

PROJECT MOVED: see http://www.vmtk.org for up-to-date information. Libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis in image-based blood vessel modeling.

This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting.

NLOPredict is a nonlinear optical prediction and data analysis tool. Nonlinear optical measurements can yield information about the structure of crystals, and orientation of molecules at surfaces and interfaces.

CalPyLab is an open source data acquisition and (light) analysis software suite for scientific laboratories. The goal of this project is to provide a lightweight replacement for lab-view, to provide a quick and easy way to connect to your equipment.

A GPR processer and viewer written in Python!

VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.

pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.

A tool for autonomous and virtual topical data integration using the focused web-harvesting method.

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

PAIDA is pure Python scientific analysis package and supports AIDA (Abstract Interfaces for Data Analysis). PAIDA can create/plot histograms and functions etc. The parameter optimization and its error evaluation are also supported. Can use with Jython!

QME-DEV Workbench (wxScipy) is a data analysis workbench based on Python, SciPy, Numpy and MatPlotLib(PyLab) and uses wxPython for the GUI. It can be used for non-linear analysis with a large set of experimental or generated data. Load/Acquire / Save/ Gr

RStatServer is a system for quickly developing and deploying web applications that integrate statistical computations and graphics. It is built using the Zope web application develeopment system and the open-source statistical data analysis environment R

IVuPy is a set of Python bindings for the Coin3D C++ class libraries which serve to create software for 3D visualization in science and engineering. IVuPy aims to be a solid basis for large Python programs for 3D visualization and data analysis.

Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org