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# List Methods and Slicing

Lists in Python are powerful — not only can you store multiple items, but you can also **change**, **extend**, and **extract** parts of them.

Let’s look at two key skills every analyst needs when working with lists:  
- Using **list methods** to update content  
- Using **slicing** to access sections of a list

<br/>

## Common List Methods

List methods let you modify the contents easily. A few beginner-friendly methods include:

- `.append()` – adds an item to the end  
- `.insert()` – adds an item at a specific index  
- `.remove()` – deletes the first matching item  
- `.pop()` – removes an item by index  
- `.sort()` – sorts the list in place

<br/>

## List Slicing

Slicing allows you to take **parts** of a list by specifying a start and stop index.

```python
numbers[1:4]  # Gets items from index 1 to 3 (not including 4)
```

You can also use:

* `[:]` – to copy the whole list
* `[-3:]` – to get the last three items
* `[::2]` – to get every second item

These techniques make it easier to work with subsets of data.