CST-383 Week 1

 This week I learned how to use the library, NumPy, to perform operations on numeric data. One thing about NumPy that stood out to me, was how its operations felt similar to operator overloading in C++. For example, if we wanted to add the contents of two NumPy arrays, A and B together, we would execute the expression: A + B. In C++, the operator, "+" could be overloaded to perform the equivalent expression on our own custom array data structure. This makes me curious if the implementation of NumPy uses some kind of operator overloading to perform these operations, or if it is just specific to the Python programming language.

Another thing that stood out to me while completing this week's homework, was how similar NumPy felt to writing SQL queries. If we had a NumPy array, A, containing the values 7440, 12280, 11250, 12960, 7560, 13500, 13290, 13868, and we wanted to get the values greater than 8000, we would create a mask using the expression, "mask = (A > 8000)." Then we would execute the expression, "A[mask]," to get all values greater than 8000. To me, this feels very similar to SQL's WHERE clause. For example, the equivalent in SQL may be:

SELECT * FROM A

WHERE value > 8000

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