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When an array is declared, the type of data it stores must be specified.
(Each array can store only one type of data.) After the array is declared, it must be created with the keyword new, just like working with objects.
The first element is at position , the second is at , and so on.
The position of each element is determined by its offset from the start of the array.
There can be arrays of numbers, characters, sentences, boolean values, and so on.
The code on the right shows how the data elements can be logically grouped together in an array.For instance, an array can store five integers (1919, 1940, 1975, 1976, 1990), the years to date that the Cincinnati Reds won the World Series, rather than defining five separate variables.Let’s call this array “dates” and store the values in sequence: Array elements are numbered starting with zero, which may seem confusing at first but is an important detail for many programming languages.Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. pandas is well suited for many different kinds of data: provides and much more.pandas is built on top of Num Py and is intended to integrate well within a scientific computing environment with many other 3rd party libraries.
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The first element is at position  because it has no offset; the second element is at position  because it is offset one place from the beginning.