Import the NumPy library under the alias `np`

and import the pandas library under the alias `pd`

.

In [1]:

```
import numpy as np
import pandas as pd
```

Turn the variable `this_list`

into a pandas Series. Name the Series `this_series`

.

In [2]:

```
this_list = ['a', 'b', 'c']
```

In [3]:

```
#Solution goes here
this_series = pd.Series(this_list)
```

Given the variable `labels`

, overwirte the `this_series`

variable you just created with a new version of `this_series`

that has `labels`

as its index.

In [4]:

```
labels = ['first', 'second', 'third']
```

In [5]:

```
#Solution goes here
this_series = pd.Series(this_list, index=labels)
```

Given the dictionary `new_dict`

, turn it into a pandas Seris named `new_series`

.

In [6]:

```
new_dict = {"brand": "Ford","model": "Mustang","year": 1964}
```

In [7]:

```
#Solution goes here
new_series = pd.Series(new_dict)
```