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Data Literacy With Python

You're reading from Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

Product type Paperback

Published in Jul 2024

Publisher Mercury_Learning

ISBN-13 9781836640097

Length 271 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Analysis

Authors (2):

Mercury Learning and Information

Oswald Campesato

View More author details

Table of Contents (9) Chapters

Preface

1. Chapter 1: Working With Data

2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER

3. Chapter 3: Cleaning Datasets

4. Chapter 4: Introduction to Statistics

5. Chapter 5: Matplotlib and Seaborn

6. Index

Appendix A: Introduction to Python

1. Appendix B: Introduction to Pandas

APPENDIX B

INTRODUCTION TO PANDAS

This appendix introduces you to Pandas and provides code samples that illustrate some of its useful features. If you are familiar with these topics, skim through the material and peruse the code samples, just in case they contain information that is new to you.

The first part of this appendix contains a brief introduction to Pandas. This section contains code samples that illustrate some features of data frames and a brief discussion of series, which are two of the main features of Pandas.

The second part of this appendix discusses various types of data frames that you can create, such as numeric and Boolean data frames. In addition, we discuss examples of creating data frames with NumPy functions and random numbers.

Note: several code samples in this appendix reference the NumPy library for working with arrays and generating random numbers, which you can learn from online articles.

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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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