Dive into NumPy! Start organizing, rearranging, and sampling your data.

Python Data Analysis and Visualization

From Python to Numpy

## What is Code vectorization?
Code vectorization means that the problem you're trying to solve is inherently
vectorizable and only requires a few NumPy tricks to make it faster. Of course, it does not mean it is easy or straightforward, but at least it does not
necessitate totally rethinking your problem (as it will be the case in the
**Problem vectorization** chapter). Still, it may require some experience to see
where code can be vectorized.

### Example
Let's illustrate this through a simple example
where we want to **sum up two lists of integers**.
### Solution 1: Pure Python 
One simple way using pure Python
is:

# What is Code vectorization?
Code vectorization means that the problem you're trying to solve is inherently
vectorizable and only requires a few NumPy tricks to make it faster. Of course, it does not mean it is easy or straightforward, but at least it does not
necessitate totally rethinking your problem (as it will be the case in the
**Problem vectorization** chapter). Still, it may require some experience to see
where code can be vectorized.

## Example
Let's illustrate this through a simple example
where we want to **sum up two lists of integers**.
## Solution 1: Pure Python 
One simple way using pure Python
is:

This lesson gives a brief introduction to code vectorization and explains an example using pure Python and NumPy.

Introduction

Anatomy of an Array

Code Vectorization

Problem Vectorization

Custom Vectorization

Beyond NumPy

Introduction

What is Code vectorization?

Example

Solution 1: Pure Python