You're reading from The Pandas Workshop

Product typeBook

Published inJun 2022

Reading LevelBeginner

PublisherPackt

ISBN-139781800208933

Edition1st Edition

Languages

Python

Tools

NumPy Pandas

Concepts

Data Science

Authors (4):

Blaine Bateman

Saikat Basak

Thomas V. Joseph

William So

View More author details

Part 2 – Working with Data

In this section, we will dive deeper into the key benefits and features of pandas. We will learn how to use DataFrames and Series to our advantage, alongside various advanced techniques surrounding them. We will also learn how to understand and transform data according to our needs and also visualize data as needed for analysis.

This section contains the following chapters:

Chapter 5, Data Selection – DataFrames
Chapter 6, Data Selection – Series
Chapter 7, Data Exploration and Transformation
Chapter 8, Data Visualization

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Authors (4)

Blaine Bateman

Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on analytics including machine learning and forecasting. His hands-on abilities include Python and R coding, Keras/Tensorflow, and AWS & Azure machine learning services. As a machine learning consultant, he has developed and deployed actual ML models in industry.
Read more about Blaine Bateman

Saikat Basak

Saikat Basak is a data scientist and a passionate programmer. Having worked with multiple industry leaders, he has a good understanding of problem areas that can potentially be solved using data. Apart from being a data guy, he is also a science geek and loves to explore new ideas in the frontiers of science and technology.
Read more about Saikat Basak

Thomas V. Joseph

Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments.
Read more about Thomas V. Joseph

William So

William So is a Data Scientist with both a strong academic background and extensive professional experience. He is currently the Head of Data Science at Douugh and also a Lecturer for Master of Data Science and Innovation at the University of Technology Sydney. During his career, he successfully covered the end-end spectrum of data analytics from ML to Business Intelligence helping stakeholders derive valuable insights and achieve amazing results that benefits the business. William is a co-author of the "The Applied Artificial Intelligence Workshop" published by Packt.
Read more about William So

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