Book Image

Unpacking NumPy and Pandas [Video]

By : Curtis Miller, Samantha Falk
Book Image

Unpacking NumPy and Pandas [Video]

By: Curtis Miller, Samantha Falk

Overview of this book

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. In this video course, you will explore two of the most important Python packages used by Data Analysts. You will start off by learning how to set up the right environment for data analysis with Python. Here, you’ll learn to install the right Python distribution, as well as work with the Jupyter notebook, and set up a database. After that you will dive into Python’s NumPy package, Python’s powerful extension with advanced mathematical functions. You will learn to create NumPy arrays, as well as employ different array methods and functions. Then, you will explore Python’s Pandas extension, where you will learn to subset your data, as well as dive into data mapping using Pandas. You’ll also learn to manage your data sets by sorting and ranking them. Finally, you will learn to index and group your data for sophisticated data analysis and manipulation.
Table of Contents (3 chapters)
Chapter 2
It’s All in the Numbers – Diving into NumPy
Content Locked
Section 5
Employing Array Methods and Functions
How can we use NumPy to perform calculations fast? With ufuncs and vectorization! - Identify the calculation needed - Identify the ndarray method or ufunc needed for the calculation - Apply the function or method to the ndarray