Mastering pandas: A complete guide to pandas, from installation to advanced data analysis techniques, 2nd Edition - Softcover

Ashish Kumar

Softcover

ISBN 10: 1789343232 ISBN 13: 9781789343236

Verlag: Packt Publishing, 2019

Inhaltsangabe

Perform advanced data manipulation tasks using pandas and become an expert data analyst.

Key Features

• Manipulate and analyze your data expertly using the power of pandas
• Work with missing data and time series data and become a true pandas expert
• Includes expert tips and techniques on making your data analysis tasks easier

Book Description

pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains.

An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook.

By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process.

What you will learn

• Speed up your data analysis by importing data into pandas
• Keep relevant data points by selecting subsets of your data
• Create a high-quality dataset by cleaning data and fixing missing values
• Compute actionable analytics with grouping and aggregation in pandas
• Master time series data analysis in pandas
• Make powerful reports in pandas using Jupyter notebooks

Who this book is for

This book is for data scientists, analysts and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with the basic data analysis concepts is all you need to get started with this book.

Table of Contents

1. Introduction to pandas and Data Analysis
2. Installation of pandas and Supporting Software
3. Using NumPy and Data Structures with pandas
4. I/Os of Different Data Formats with pandas
5. Indexing and Selecting in pandas
6. Grouping, Merging, and Reshaping Data in pandas
7. Special Data Operations in pandas
8. Time Series and Plotting Using Matplotlib
9. Making Powerful Reports In Jupyter Using pandas
10. A Tour of Statistics with pandas and NumPy
11. A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates
12. Data Case Studies Using pandas
13. The pandas Library Architecture
14. pandas Compared with Other Tools
15. A Brief Tour of Machine Learning

Über diesen Titel

Über die Autorin bzw. den Autor

Ashish Kumar is on a mission to make this planet safer for digital transformation. Ashish leads Microsoft security engineering teams in learning about customers, partners, and market priorities on cybersecurity. He works with various universities, government, and large enterprises to help them build a secure digital posture and go deeper into digital transformation impacting every person on the planet. An Enthusiastic self-starter, goal-driven achiever, and motivated team player with a creative and progressive attitude is on a journey to share his experiences with you.

Details zur Ausgabe

• Verlag: Packt Publishing
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 1789343232
• ISBN 13: 9781789343236
• Einband: Taschenbuch
• Auflage: 2
• Anzahl der Seiten: 674
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Deutschland