Other What Are the Best Books for Learning Data Analysis in Physics with Python?

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A request for a reference book on data analysis techniques specifically for physics, with a focus on programming applications and error analysis, is highlighted. The user is currently analyzing large datasets from telescope arrays and seeks resources to enhance their skills for their first major research project. They are primarily using Python on a cluster for data organization and express a need to learn about advanced techniques like Monte Carlo simulations. A recommended resource is the Bevington book on data analysis, which is noted for its relevance to the user's needs.
PhotonSSBM
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I'm looking for a good reference book on data analysis techniques for science (namely physics) that has a lot of programming applications and some decent error analysis coverage.

Right now I'm analyzing large datasets of telescope arrays and would like something to learn from as this is my first big research project I've undertaken. So far I've mainly been working in python on a cluster running scripts to reorganize/consolidate the data and need to be able to do more stuff like monte carlo simulations, etc.

Thanks in advance.
 
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For starters I can recommend
http://astro.cornell.edu/academics/courses/astro3310/Books/Bevington_opt.pdf
 

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