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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

TOOLS FOR PYTHON

The Anaconda Python distribution available for Windows, Linux, and Mac is downloadable at http://continuum.io/downloads.

Anaconda is well-suited for modules such as numpy and scipy, and if you are a Windows user, Anaconda appears to be a better alternative.

easy_install and pip

Both easy_install and pip are easy to use when you need to install Python modules. Whenever you need to install a module (and there are many in this book), use either easy_install or pip with the following syntax:

easy_install <module-name>
pip install <module-name>

NOTE Python-based modules are easier to install, whereas modules with code written in C are usually faster but more difficult in terms of installation.

virtualenv

The virtualenv tool enables you to create isolated Python environments, and its home page is at http://www.virtualenv.org/en/latest/virtualenv.html.

virtualenv addresses the problem of preserving the correct dependencies and versions (and indirectly, permissions) for different applications. If you are a Python novice, you might not need virtualenv right now, but keep this tool in mind.

IPython

Another very good tool is IPython (which won a Jolt award), and its home page is at http://ipython.org/install.html. Two very nice features of IPython are tab expansion and “?” (textual assistance). An example of tab expansion is shown here:

python
Python 3.9.1 (v3.9.1:1e5d33e9b9, Dec  7 2020, 12:44:01)
[Clang 12.0.0 (clang-1200.0.32.27)] on darwin
Type "help", "copyright", "credits" or "license" for more information.

IPython 0.13.2 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: di
%dirs   dict    dir     divmod

In the preceding session, if you type the characters di, IPython responds with the following line that contains all the functions that start with the letters di:

%dirs   dict    dir     divmod

If you enter a question mark (“?”), IPython provides textual assistance, the first part of which is here:

IPython -- An enhanced Interactive Python
=========================================

IPython offers a combination of convenient shell features,
special commands and a history mechanism for both input
(command history) and output (results caching, similar
to Mathematica). It is intended to be a fully compatible
replacement for the standard Python interpreter, while
offering vastly improved functionality and flexibility.

The next section shows you how to check whether Python is installed on your machine, and also where you can download Python.

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