details basic work function of NumPy with data example , python in windows 11 or windows 10 or ubuntu or fedora

here are some NumPy functions along with data examples:

1. Creating Arrays: NumPy provides several functions to create arrays of different shapes and sizes. Here are some examples:
2. Array Operations: NumPy provides various mathematical operations on arrays, including addition, subtraction, multiplication, division, and more. Here are some examples:

3. Indexing and Slicing: NumPy provides different ways to access and manipulate elements in an array, including indexing and slicing. Here are some examples:

4. Statistical Functions: NumPy provides several statistical functions to calculate various statistical measures, including mean, median, variance, and standard deviation. Here are some examples:

5. Reshaping Arrays: NumPy provides the ability to reshape arrays into different shapes and sizes. Here's an example:

These are just a few examples of the many functionalities provided by NumPy. With its powerful array manipulation capabilities and mathematical functions, NumPy has become an essential tool for data scientists and scientific computing professionals.

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