Updated 4 years ago

# Six NumPy Functions

### Here are the six NumPy Functions that I thought were good and are to be known by everyone.

- numpy.swapaxes : This method interchanges two axis of an array.
- numpy.ndarray.item : Converts an array of size 1 to its scalar equivalent.
- numpy.char.capitalize : When given string array, it returns a string array with the first letter of each element capitalized.
- numpy.dot : computes the dot product of 2 elements.
- numpy.bitwise_and : computes the bitwise and of the given two elements.
- numpy.ndarray.fill : completely fills an array with a given scalar value.

`!pip install jovian --upgrade -q`

`import jovian`

`jovian.commit(project='numpy-array-operations')`

```
[jovian] Attempting to save notebook..
[jovian] Updating notebook "apr2000cbe/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/apr2000cbe/numpy-array-operations
```

Let's begin by importing Numpy and listing out the functions covered in this notebook.