Data Wrangling with Python: Creating actionable data from raw sources

Dr. Tirthajyoti Sarkar

Shubhadeep Roychowdhury

€32.99

3.7 (32 Ratings)

Paperback Feb 2019 452 pages 1st Edition

Dr. Tirthajyoti Sarkar

Shubhadeep Roychowdhury

€32.99

3.7 (32 Ratings)

Paperback Feb 2019 452 pages 1st Edition

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Key benefits

Focus on the basics of data wrangling
Study various ways to extract the most out of your data in less time
Boost your learning curve with bonus topics like random data generation and data integrity checks

Description

For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain. The book starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The book will further help you grasp concepts through real-world examples and datasets. By the end of this book, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently.

Who is this book for?

Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. Although, this book is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have rudimentary knowledge of relational database and SQL.

What you will learn

Use and manipulate complex and simple data structures
Harness the full potential of DataFrames and numpy.array at run time
Perform web scraping with BeautifulSoup4 and html5lib
Execute advanced string search and manipulation with RegEX
Handle outliers and perform data imputation with Pandas
Use descriptive statistics and plotting techniques
Practice data wrangling and modeling using data generation techniques

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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

EU:

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:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

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Amazon verified reviews

Udemy verified reviews

Robert Jun 12, 2019

If you don't know anything from Python, but you want to become Data Scientist it can be helpful for you.

Amazon Verified review

Soumya Das May 26, 2019

Effective book on data wrangling

Jyothi M Rao Sep 19, 2023

Udemy Verified review

Charles Quinn Jul 16, 2023

Sonia Christensen Mar 08, 2023

Data Wrangling with Python: Creating actionable data from raw sources

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