# pyCallisto
pyCallisto is a image processing and data analysis python library developed for e-CALLISTO data (http://www.e-callisto.org/). However, this library could be used to process the data obtained using various solar radio spectrometers available around the globe.
# Installation
At present, you can use this library by copying the source files (pyCallisto.py and pyCallistoUtils.py) to a local folder. The data and main program have to located in the same folder. In the main program you have to import the source files as shown in sample_program.py.
# Pre-requisites and Standard Python Libraries
python 3.6,
numpy,
matplotlib,
astropy.
# Contributors
Mr. Ravindra Pawase,
Team Lead (Machine Learning),
Persistent Systems,
Pune-411 004, India.
Dr. K. Sasikumar Raja,
National Post Doctoral Fellow,
Deparment of Physics,
Indian Institute of Science Education and Research,
Dr. Homi Bhabha Road, Pashan, Pune-411 008, India.
# Feedback
If you have any feedback, queries, feature request you can drop a line at
ravi.pawase@gmail.com
sasikumarraja@gmail.com
# Citation
If you find pyCallisto useful and make use of it in your work, we appreciate acknowledging the same. We recommend using the following line: "This work is made use of the pyCallisto library, which is available at https://github.com/ravipawase/pyCallisto"
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