The goal of the numpy exercises is to serve as a reference as well as to get you to apply numpy beyond the basics. The questions are of 4 levels of difficulties with L1 being the easiest to L4 being the hardest. If you want a quick refresher on numpy, the following tutorial is best: […]

# Tag Archives: Numpy

## Numpy Tutorial Part 2 – Vital Functions for Data Analysis

Numpy is the core package for data analysis and scientific computing in python. This is part 2 of a mega numpy tutorial. In this part, I go into the details of the advanced features of numpy that are essential for data analysis and manipulations. [container] [columnize] 0. Introduction 1. How to get index locations that […]

## Numpy Tutorial Part 1 – Introduction to Arrays

This is part 1 of the numpy tutorial covering all the core aspects of performing data manipulation and analysis with numpy’s ndarrays. Numpy is the most basic and a powerful package for scientific computing and data manipulation in python. [container] [columnize] 1. Introduction to numpy 2. How to create a numpy array? 3. How to […]