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science/pyaixi-1.0.4 (Score: 0.17633674)
Implementation of the MC-AIXI-CTW AI algorithm
pyaixi is a pure Python implementation of the Monte Carlo-AIXI-Context Tree Weighting (MC-AIXI-CTW) artificial intelligence algorithm. This is an approximation of the AIXI universal artificial intelligence algorithm, which describes a model-based, reinforcement-learning agent capable of general learning.
science/kalzium-4.14.3 (Score: 0.17633674)
Periodic table of elements for KDE 4
Kalzium is your digital replacement for the periodic table on paper. It is a program that visualizes the periodic table of elements (PSE) and includes basic information about all common elements in the PSE. It has gained much more functions over time. FEATURES - Versatile overview of all important data from the elements like melting points, electron affinity, electron negativity, electron configuration, radii, mass, ionisation energy. - Tool to visualize the spectral lines of each element. - Different colored views for the PSE: separation of the different blocks, year simulator, temperature simulator. - Molecular weight calculator. - An isotope table. - 3D molecule editor, with a load and save functionality. - An equation solver for stoichiometric problems. - Filetype conversion for different types of chemical programs. - Tool to produce a comprehesive list of all risk and safety statements.
science/paida-3.2.1.2.10 (Score: 0.17633674)
Pure Python scientific analysis package
Description: PAIDA is pure Python scientific analysis package and implements AIDA (Abstract Interfaces for Data Analysis). The main features are: - Pure Python! (so works on both Python and Jython) - Creating/Plotting the histogram, ntuple, profile and cloud - Fitting parameter optimization with constraints and its parabolic and asymmetric error evaluation - XML based storing
science/pupynere-1.0.15 (Score: 0.17633674)
Python module for reading and writing NetCDF files
Pupynere is a Python module for reading and writing NetCDF files, using the same API as Scientific.IO.NetCDF and pynetcdf. It depends only on Numpy, so you don't need to have the NetCDF library installed.
science/pydicom-0.9.8 (Score: 0.17633674)
Read, modify, and write DICOM files with Python code
pydicom is a pure python package for working with DICOM files. It was made for inspecting and modifying DICOM files in an easy "pythonic" way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements.
science/pysal-1.11.2 (Score: 0.17633674)
Cross-platform library of spatial analysis functions
PySAL is a cross-platform library of spatial analysis functions written in Python. It is intended to support the development of high level applications for spatial analysis.
science/ws2300-1.9 (Score: 0.17633674)
Driver for the LaCrosse WS-2300 weather station
Ws2300 manipulates the LaCrosse WS-2300 weather station via its RS232 interface. It can read and write values, and can continuously log data from WS-2300 to a file or SQL database.
science/pyteomics.biolccc-1.5.0 (Score: 0.17633674)
Python bindings for BioLCCC
libBioLCCC is an open source library for prediction of peptide and protein retention time in liquid chromatography. It is based on BioLCCC model (Liquid Chromatography of Biomacromolecules at Critical Conditions). pyteomics.biolccc is set of Python wrappings around libBioLCCC.
science/pyteomics-2.4.0 (Score: 0.17633674)
Python modules for proteomics data analysis
Pyteomics is a collection of lightweight and handy tools for Python that help to handle various sorts of proteomics data. Pyteomics provides a growing set of modules to facilitate the most common tasks in proteomics data analysis, such as: * calculation of basic physico-chemical properties of polypeptides: . mass and isotopic distribution . charge and pI . chromatographic retention time * access to common proteomics data: . MS or LC-MS data . FASTA databases . search engines output * easy manipulation of sequences of modified peptides and proteins
science/scikit-fuzzy-0.2 (Score: 0.17633674)
Fuzzy logic toolkit for SciPy
Fuzzy logic toolkit for SciPy. The goals of scikit-fuzzy are: * To provide the community with a robust toolkit of independently developed and implemented fuzzy logic algorithms * To increase the attractiveness of scientific Python as a valid alternative to closed-source options.