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# Create a list of cities
cities = ["Chicago", "Denver", "Boston"]
print("Original list:", cities)

print('=' * 40)

# Append a city to the end
cities.append("Seattle")
print("After append:", cities)

print('=' * 40)

# Insert a city at index 1
cities.insert(1, "Austin")
print("After insert at index 1:", cities)

print('=' * 40)

# Remove a specific city
cities.remove("Boston")
print("After removing Boston:", cities)

print('=' * 40)

# Slice: first two cities
first_two = cities[:2]
print("First two cities:", first_two)

print('=' * 40)

# Slice: last city
last_city = cities[-1]
print("Last city:", last_city)

# List Methods and Slicing

Lists in Python are powerful. They let you store multiple items and also *change*, *extend*, and *extract* parts of them.

Two key skills every analyst should know when working with lists are:
- Using list methods to update content
- Using slicing to access sections of a list

<br/>

## Common List Methods

List methods make it easy to modify the contents of a list. Some useful beginner-friendly methods are:

- `.append()`: add an item to the end  
- `.insert()`: add an item at a specific index  
- `.remove()`: delete the first matching item  
- `.pop()`: remove an item by index  
- `.sort()`: sorts the list in place

<br/>

## List Slicing

Slicing lets you extract parts of a list by specifying a start and stop index.

```python title="List Slicing"
numbers[1:4]  # Gets items from index 1 to 3 (not including 4)
```

You can also use:

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

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

The `.append()` method is used in Python to add an item to the end of a list. This is a simple and direct way to expand a list, commonly used when you want to add new data without altering the existing order of elements.

### What method would you use to add an item to the end of a list in Python?