Showing 13 open source projects for "scipy python 2.7"

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  • 1
    scikit-learn

    scikit-learn

    Machine learning in Python

    scikit-learn is an open source Python module for machine learning built on NumPy, SciPy and matplotlib. It offers simple and efficient tools for predictive data analysis and is reusable in various contexts.
    Downloads: 12 This Week
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  • 2
    Padasip

    Padasip

    Python Adaptive Signal Processing

    Padasip (Python Adaptive Signal Processing) is a Python library tailored for adaptive filtering and online learning applications, particularly in signal processing and time series forecasting. It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes. Padasip supports both supervised and unsupervised...
    Downloads: 0 This Week
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  • 3
    PySchool

    PySchool

    Installable / Portable Python Distribution for Everyone.

    PySchool is a free and open-source Python distribution intended primarily for students who learn Python and data analysis, but it can also used by scientists, engineering, and data scientists. It includes more than 150 Python packages (full edition) including numpy, pandas, scipy, sympy, keras, scikit-learn, matplotlib, seaborn, beautifulsoup4...
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    Downloads: 648 This Week
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  • 4
    pyspread

    pyspread

    Python spreadsheet application

    Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Dependencies + Python (>=2.7, <3.0) + numpy (>=1.1.0) + wxPython (>=2.8.10.1, Unicode version required) + matplotlib (>=1.1.1) + pycairo (>=1.8.8) Optional dependencies + python-gnupg (>=0.3.0, for opening own files without approval) + xlrd (>=0.9.2, for loading Excel® files) + xlwt (>=0.9.2, for saving Excel files, pyspread >=v0.3.0 required) + jedi (>=0.8.0, for tab completion and context help in the entry line, pyspread >=v0.3.0 required) + basemap (>=1.0.7, for the weather example pys file)
    Downloads: 0 This Week
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    PyVE

    PyVE is image analysis and visualization environment

    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.
    Downloads: 0 This Week
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  • 6
    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit for All of Us

    ...While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling. DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. License: R, RStudio, NLTK, SciPy, SKLearn, MatPlotLib, Weka, ... each has their own licenses.
    Downloads: 0 This Week
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  • 7
    Krisk

    Krisk

    Statistical Interactive Visualization with pandas+Jupyter integration

    Krisk brings Echarts to the Python Data Science Ecosystem, and helpful tools for high-level statistical interactive visualization.
    Downloads: 0 This Week
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  • 8
    wxRays

    wxRays

    Visual x-ray data processor

    Visual x-ray data processor. The routine, writed in Python using wxPython, NumPy, SciPy and mathplotlib libraries for practical and educational purpose.
    Downloads: 0 This Week
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  • 9

    Larch: Data Analysis for X-ray Spectra

    Data Processing and Analysis for X-ray Spectroscopy and More

    ...Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).
    Downloads: 0 This Week
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  • 10

    BriPy

    A BRIC-seq data analysis package written in Python.

    ...Python2.7 or higher NumPy SciPy Matplotlib
    Downloads: 0 This Week
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  • 11

    pygolem

    Python API for the GOLEM Tokamak discharge database

    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.
    Downloads: 2 This Week
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  • 12
    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
    Downloads: 0 This Week
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  • 13
    We are trying to create a very complete physics teaching program. So, we would be pleased if you could suggest any improvement or create any module for us. To use any of these sources you need python 2.2, pygame and scipy.
    Downloads: 0 This Week
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