Metadata-Version: 1.1
Name: pycroscopy
Version: 0.59.2
Summary: A suite of Python libraries for high performance scientific computing of microscopy data.
Home-page: http://github.com/pycroscopy/pycroscopy
Author: S. Somnath, C. R. Smith, N. Laanait
Author-email: pycroscopy@gmail.com
License: MIT
Description: ==========
        pycroscopy		|statusimage|
        ==========
        
        .. |statusimage| image:: https://travis-ci.org/pycroscopy/pycroscopy.svg?branch=master
        
        pycroscopy is a `python <http://www.python.org/>`_ package for image processing and scientific analysis of imaging modalities such as multi-frequency scanning probe microscopy, scanning tunneling spectroscopy, x-ray diffraction microscopy, and transmission electron microscopy. pycroscopy uses a data-centric model wherein the raw data collected from the microscope, results from analysis and processing routines are all written to standardized hierarchical data format (HDF5) files for traceability, reproducibility, and provenance.
        
        **Please visit our `homepage <https://pycroscopy.github.io/pycroscopy/index.html>`_ for more information.**
        
        Installation
        ------------
        
        Pycroscopy requires many commonly used python packages such as numpy, scipy etc. To simplify the installation process, we recommend the installation of Anaconda which contains most of the prerequisite packages as well as a development environment - Spyder. 
        
           1. Recommended - uninstall existing Python distribution(s) if installed.  Restart computer afterwards.
        
           2. Install Anaconda 4.2 (Python 3.5) 64-bit -  `Mac <https://repo.continuum.io/archive/Anaconda3-4.2.0-MacOSX-x86_64.pkg>`_ / `Windows <https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86_64.exe>`_ / `Linux <https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh>`_
        	  
           3. Install pycroscopy - Open a terminal (mac / linux) or command prompt (windows - if possible with administrator priveleges) and type:
           	
        	.. code:: bash
        
        	   pip install pycroscopy
                 
           4. Enjoy pycroscopy!
         
        We recommend `HDF View <https://support.hdfgroup.org/products/java/hdfview/>`_ for exploring HDF5 files generated by and used in pycroscopy.
           
        Updating
        ~~~~~~~~
        
        If you already have pycroscopy installed and want to update to the latest version, use the following command:
        
        .. code:: bash
        
          pip install -U --no-deps pycroscopy
          
        If it does not work try reinstalling the package:
        
        .. code:: bash
        
          pip uninstall pycroscopy
          pip install pycroscopy
        
        Compatibility
        ~~~~~~~~~~~~~
        * Pycroscopy was initially developed in python 2 but all current / future development for pycroscopy will be on python 3.5+. Nonetheless, we will do our best to ensure continued compatibility with python 2. 
        * We currently do not support 32 bit architectures
        
Keywords: scientific microscopy data analysis
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
