learnpython - UCF Physics: AST 5765/4762: (Advanced)...

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UCF Physics: AST 5765/4762: (Advanced) Astronomical Data Analysis Fall 2009 Learning Python for Data Analysis Python is an open-source, interpreted language that is widely used in many areas of computing, including data analysis. Python is remarkably quick to learn, yet it is among the most powerful of all languages. Open-source means both good and bad things. It is free of charge. Users guide development, which is fast, and so are bug fixes. There is great user-community support for free online. But, sometimes there is not a package that does exactly what you want. The frontier development is always experimental and a bit ragged. Documentation quality varies. Python is great for data analysis because you can “wrap” code written in C, C++, FORTRAN, etc., bringing it into the language. Many existing numerical packages are thus available in Python. Most of the documents below are in our online space under the python directory. You do not need to read all these resources now. However, be prepared to read each one as that topic comes up during the course. For our purposes, you need to know: how to use Python interactively to manipulate arrays of numbers, how to do a variety of astronomy-specific tasks,
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learnpython - UCF Physics: AST 5765/4762: (Advanced)...

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