numpy arange function creating numpy arrays python tutorials

syntax

- **start**: (optional) the starting value of the sequence. default is 0.
- **stop**: the end value of the sequence (exclusive).
- **step**: (optional) the spacing between values. default is 1.
- **dtype**: (optional) the desired data type of the returned array.

basic examples

1. **creating a simple array**

**output:**

2. **specifying a start and stop**

**output:**

3. **using a step value**

**output:**

4. **creating a float array**

**output:**

5. **specifying data type**

**output:**

important notes

- the `stop` value is exclusive, which means it will not be included in the generated array.
- if the `step` is negative, the `start` value should be greater than the `stop` value to generate a valid array.
- the `dtype` can be specified for better control over the data type of the values in the array.

conclusion

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