Astype in numpy python module numpy tutorial part 05

### numpy tutorial part 05: understanding `astype()`

in this tutorial, we'll explore the `astype()` function in numpy, a powerful library for numerical computing in python. the `astype()` method is used to cast a numpy array to a different data type. this is particularly useful when you need to convert data types for mathematical operations, memory efficiency, or compatibility with other data structures.

#### what is `astype()`?

`astype()` is a method of numpy arrays that allows you to create a new array with a specified data type. the original array remains unchanged. the syntax for `astype()` is as follows:

#### parameters:
- **order**: the desired memory layout order for the array (default is 'k', which means to preserve the order of the original array).
- **casting**: a string that determines the casting rules (default is 'unsafe').
- **subok**: if true, then sub-classes will be passed-through (default is true).
- **copy**: if true (default), a new array is returned. if false, a view may be returned if possible.

#### common data types in numpy:

#### example code

let's see how to use `astype()` in practice:

### explanation of the example

1. **creating an array**: we start by creating a numpy array `arr` containing integers. we print its original values and data type.


4. **conve ...

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