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Overview¶. NumPy is a first-rate library for numerical programming. Widely used in academia, finance and industry. Mature, fast, stable and under continuous development. We have already seen some code involving NumPy in the preceding lectures. In this lecture, we will start a more systematic discussion of both. The Ultimate NumPy Tutorial (With Code!) Data scientists deal with data all the time, usually in the format of lists, dictionaries, or tables. The process can be complex, involving preprocessing, queries, and modifications such as data wrangling. As an aspiring data analyst or machine learning engineer, you’re probably thinking that these. numpy.recarray. ¶. class numpy.recarray [source] ¶. Construct an ndarray that allows field access using attributes. Arrays may have a data-types containing fields, analogous to columns in a spread sheet. An example is [ (x, int), (y, float)] , where each entry in.