Ultimate Pandas for Data Manipulation and Visualization : Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library / Tahera Firdose.

Format:

Book

Author/Creator:

Firdose, Tahera, author.

Language:

English

Subjects (All):

Pandas.

Python (Computer program language).

Physical Description:

1 online resource (190 pages)

Edition:

First edition.

Place of Publication:

Delhi, India : Orange Education Pvt Ltd, [2024]

Summary:

Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.

Contents:

Cover Page

Title Page

Copyright Page

Dedication Page

About the Author

About the Technical Reviewers

Acknowledgements

Preface

Errata

Table of Contents

1. Introduction to Pandas and Data Analysis

Introduction

Structure

Overview of Pandas and Their Role in Data Analysis

Pandas Popularity

Advantages of Pandas over Traditional Data Analysis Methods

Installation and Setup

Installing Pandas on Windows

Installing Pandas on MaCOS

Installing Pandas on Linux

IPython Notebooks and its Integration with Pandas

Installing Jupyter Notebooks

Understanding Pandas Objects: Series and DataFrame

Series

DataFrame

Datatypes of Pandas

Defining Datatypes

Using the Datatypes of Pandas in Series and DataFrame

Loading Data from Files and the Web for Pandas

Loading Data from CSV Files Using pandas.read_csv() Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Description based on print version record.

Includes index.

Other Format:

Print version: Firdose, Tahera Ultimate Pandas for Data Manipulation and Visualization

ISBN:

9788197256240

OCLC:

1439596377