Windows 7, 8.1, and 10 install from source instructionsΒΆ

  1. RAW on windows can be installed using 64 bit (x64) or 32 bit (x86) python. Unless you know you need a 32 bit build, you should install the 64 bit version.

  2. Download and install the Microsoft Visual C++ 2008 SP1 Redistributable Package.

  3. Install Miniconda python distribution

  4. Install the necessary python packages

    • Open an anaconda prompt by clicking on the start menu -> All Programs -> Anaconda2 -> Anaconda Prompt
    • Run the following commands in the anaconda prompt:
    • conda upgrade conda pip wheel setuptools
    • conda install numpy scipy matplotlib pillow wxpython numba h5py lxml cython numexpr
    • pip install hdf5plugin silx fabio pyfai
  5. Download RAW from sourceforge ( http://sourceforge.net/projects/bioxtasraw)

    • Go to the Files tab on the linked website and download the RAW-x.y.z-Source.zip file, where x.y.z is the version number (for example, 1.0.0).
  6. Expand the downloaded zip file into the downloads folder

    • Right click on the download and select Extract All
    • Accept the default location for files to be extracted.

    1000020100000274000001CAC03003E6F7E944B5_png

  7. Check that the files are located at the top of the directory, as in the following image:

    • Windows 7: Browse to Computer -> Local Disk -> raw
    • Windows 8 and 10: Browse to This PC -> Local Disk -> raw

    10000201000004B0000002A34A8866D873399BD8_png

    • You may have only a single subfolders, named something like raw or src.

    10000201000004B0000002A3554A1F12D8C7CB87_png

    • If so, browse down levels until you find the directory containing files that look like the top image on this page, and copy everything in that folder to the top level raw directory.

    10000201000004B0000002A3E91BB88ED0783D2A_png

  8. Run RAW.py from the command line

    • Open an anaconda prompt as in Step 4 of these instructions.
    • Type cd C:\raw
    • Hit enter
    • Type python RAW.py

    anaconda_prompt

    • Hit enter
  9. Enjoy!