Numpy With Python

In this series, we cover the basics of using NumPy for basic data analysis. Some of the things that are covered are as follows: installing NumPy using the Anaconda Python distribution, creating NumPy arrays in a variety of ways, gathering information about large datasets such as the mean, median and standard deviation, as well as utilizing Jupyter Notebooks for exploration using NumPy. If you are looking to get started with NumPy then join us!

Beginner Python developers curious about Data Science

Previous programming experience. Familiarity with collection types in Python.

NumPy Introduction

Python Numpy Array

Indexing & Slicing - 1

Indexing & Slicing - 2

Statistical Functions, Operators & Random Numbers

What is Data Science

What is Machine Learning