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Mastering pandas: A complete guide to pandas, from installation to advanced data analysis techniques , Second Edition

Kumar

$48.99

Paperback Oct 2019 674 pages 2nd Edition

Kumar

$48.99

Paperback Oct 2019 674 pages 2nd Edition

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Key benefits

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

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.

Who is this book 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.

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

Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free ~~$6.95~~

Premium delivery 6 - 9 business days

$21.95

(Includes tracking information)

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free ~~$6.95~~

Premium delivery 6 - 9 business days

$21.95

(Includes tracking information)

Product Details

Publication date : Oct 25, 2019

Length: 674 pages

Edition : 2nd

Language : English

ISBN-13 : 9781789343236

Category :

Data

Languages :

Python

Concepts :

Data Analysis

Tools :

Pandas

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20 Chapters

Section 1: Overview of Data Analysis and pandas

Introduction to pandas and Data Analysis

Motivation for data analysis

Data analytics pipeline

How Python and pandas fit into the data analytics pipeline

What is pandas?

Where does pandas fit in the pipeline?

Benefits of using pandas

History of pandas

Usage pattern and adoption of pandas

pandas on the technology adoption curve

Popular applications of pandas

Summary

References

Installation of pandas and Supporting Software

Selecting a version of Python to use

Standalone Python installation

Installation of Python and pandas using Anaconda

Dependency packages for pandas

Review of items installed with Anaconda

Cross tooling – combining pandas awesomeness with R, Julia, H20.ai, and Azure ML Studio

Command line tricks for pandas

Options and settings for pandas

Summary

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About the author

Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

See other products by Kumar

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What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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American Samoa
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Central African Republic
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Iran
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Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
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Mastering pandas: A complete guide to pandas, from installation to advanced data analysis techniques , Second Edition

What do you get with Print?