We can easily add new columns to an existing **DataFrame** using the **indexing** syntax:
```js
dataframe[column_name] = list_of_values
```

It is important that `list_of_values` has the same number of elements as there are rows in the **DataFrame**, otherwise you'll get an error.

## Example 1: Adding a new column with a List of Values

import pandas as pd

df = pd.DataFrame({
    'Member': ['Sophie', 'Liam', 'Emma'],
    'Role': ['Designer', 'Developer', 'Tester']
})

# Add a new column for Project Name
df['Project'] = ['Aurora', 'Aurora', 'Aurora']

print(df)

## Example 2: Using values from another column

import pandas as pd

df = pd.DataFrame({
    'Product': ['Laptop', 'Tablet', 'Phone'],
    'Price': [1000, 600, 400]
})

# Derive a new column 'Discounted Price' (10% off)
df['Discounted Price'] = df['Price'] * 0.9

print(df)

What happens if you try to add a new column to a DataFrame with a list that has fewer elements than the number of rows?

Which of the following lines correctly adds a column `Discount` which is **20%** of the `Price`?

What would be the output of the following code?

In this course, we will explore the basics of Pandas – a powerful Python library for organizing, manipulating and analyzing data. Each concept will be explained through short and clear video lessons, followed by fun and practical microtasks, which are designed to help you understand the syntax and remember how to use different features and functions in Pandas with confidence.

In this section, we will explore some introductory concepts related to Pandas – which will help you get a basic understanding of the library and become more comfortable in working with it.

In this section, we will learn what are DataFrames, how to create them, and how to additional rows or columns to existing DataFrames. This section will prepare us for 
 the upcoming sections where we will explore more complex features of DataFrames.

Pandas: First Steps

Adding new Columns

Example 1: Adding a new column with a List of Values

Example 2: Using values from another column

1. What happens if you try to add a new column to a DataFrame with a list that has fewer elements than the number of rows?

2. Which of the following lines correctly adds a column `Discount` which is 20% of the `Price`?

3. What would be the output of the following code?