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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

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Product type Paperback
Published in Aug 2024
Publisher Mercury_Learning
ISBN-13 9781836649250
Length 314 pages
Edition 1st Edition
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
Author Profile Icon Oswald Campesato
Oswald Campesato
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Table of Contents (10) Chapters Close

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

MYSQL, SQLALCHEMY, AND PANDAS

There are several ways to interact with a MySQL database, one of which is via SQLAlchemy. The Python code samples in subsequent sections rely on SQLAlchemy (which is briefly described in the next section) and Pandas.

What Is SQLAlchemy?

SQLAlchemy is an ORM (Object Relational Mapping), which serves as a “bridge” between Python code and a database. Install SQLAlchemy with this command:

pip3 install sqlalchemy

SQLAlchemy handles the task of converting Python function invocations into the appropriate SQL statements, as well as providing support for custom SQL statements. In addition, SQLAlchemy supports multiple databases, including MySQL, Oracle, PostgreSQL, and SQLite.

Read MySQL Data via SQLAlchemy

The previous section showed you how to install SQLAlchemy, and install Pandas (if you haven’t done so already) with this command:

pip3 install pandas

The Pandas functionality in the code samples involves the intuitively named read_sql...

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