Search Results for "python data analysis"

Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.

Patlac--Xml2cpp is a totally customizable code generator that generates classes (c++ for now) automatically from a xsd schema. Classes are described in google-ctemplate files and a xml options file allow precise definition of projects.

...These rules permit to detect an input line according to a regular expression (regex) or line number range, filter it, pass it, colorise in foreground and background, columnise the groups of the regex and enable or disable the rule. The final goal of this tool is to ameliorate reading long and difficult b/w logs, speed up the analysis and enhance day to day wearying activities. As common application, you can colorise adb logcat logs taking the example files and using them (and also, filter unnecessary lines). You can INSTALL it from PyPI: $ python -m pip install pyloganalyser

XNBC is a full featured application for computer naive neuroscientists. It simulates biological neural networks using graphic tools to edit neurons and networks, to run the simulation and to analyze results. Written in C, it runs on Unix and Windows. Web site : http://ticemed-sa.upmc.fr/xnbc/ All recent versions are on this site.

A web-based interface for the Hadoop MapReduce framework that simplifies the process of writing and running MapReduce jobs. Aimed at introducing parallelism concepts in introductory computer science courses.

A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name. * tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows. * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file...

Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.

MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.

Concurrent vision processing system; Toolkit for easy implementation of software concurrent vision processing sub-system. Aimed at robotic applications w/best effort realtime. System includes: capture,processing and displaying.

Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.

FlexCRFs: A Flexible Conditional Random Fields Toolkit for Labeling and Segmenting Sequence Data (this includes a parallel implementation of CRFs called PCRFs to support training CRF models on massively parallel computer systems).

NOTE: Use Fltk_Contour insted this code! FMesh is a simply scientific data visualization tool based on OpenGL. FMesh can generate 2D and 3D graph of contour and color maps for any (x,y,z) scattered data set, many other options are included.

A program for analyzing "slanted edge test" data, to help determine the resolution (MTF or SFR) of a digital imaging system such as a scanner.

Ytk is a Tcl/Tk program which adds menus, buttons and features to the basic command line driven Yorick program and language. It also enables usage of all Tcl/Tk widgets and functions including buttons, sliders, checkboxes, and other typical TK widgets to

This software automates the process of creating electoral districts. It contains a parser that parses the US census data and produces bmp or svg format district maps using various algorithms (initially the shortest splitline method)