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Python 3 Data Visualization Using ChatGPT / GPT-4

You're reading from Python 3 Data Visualization Using ChatGPT / GPT-4 Master Python Visualization Techniques with AI Integration

Product type Paperback

Published in Aug 2024

Publisher Mercury_Learning

ISBN-13 9781836649250

Length 314 pages

Edition 1st Edition

Languages

Python

Tools

ChatGPT

Concepts

Artificial Intelligence

Authors (2):

Mercury Learning and Information

Oswald Campesato

View More author details

Table of Contents (10) Chapters

Preface

1. Chapter 1: Introduction to Python

2. Chapter 2: Introduction to NumPy FREE CHAPTER

3. Chapter 3: Pandas and Data Visualization

4. Chapter 4: Pandas and SQL

5. Chapter 5: Matplotlib and Visualization

6. Chapter 6: Seaborn for Data Visualization

7. Chapter 7: ChatGPT and GPT-4

8. Chapter 8: ChatGPT and Data Visualization

9. Index

CHAPTER 1

INTRODUCTION TO PYTHON

This chapter contains an introduction to Python, with information about useful tools for installing modules, basic constructs, and how to work with some data types.

The first part of this chapter covers how to install Python, some environment variables, and how to use the interpreter. You will see code samples and also how to save code in text files that you can launch from the command line. The second part of this chapter shows you how to work with simple data types, such as numbers, fractions, and strings. The final part of this chapter discusses exceptions and how to use them in scripts.

NOTE The Python files in this book are for Python 3.x.

The rest of the chapter is locked

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Authors (2)

Mercury Learning and Information

Mercury Learning and Information

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.

See other products by Mercury Learning and Information

Oswald Campesato

Oswald Campesato

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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