Data Wrangling with Python: Creating actionable data from raw sources (Paperback)
  • Data Wrangling with Python: Creating actionable data from raw sources (Paperback)

Data Wrangling with Python: Creating actionable data from raw sources (Paperback)

(author), (author)
Paperback 452 Pages / Published: 28/02/2019
  • Not available

This product is currently unavailable

Email me when available

Stay one step ahead and let us notify you when this item is next available to order

Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices.

Key FeaturesFocus on the basics of data wranglingStudy various ways to extract the most out of your data in less timeBoost your learning curve with bonus topics like random data generation and data integrity checksBook 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.

What you will learnUse and manipulate complex and simple data structuresHarness the full potential of DataFrames and numpy.array at run timePerform web scraping with BeautifulSoup4 and html5libExecute advanced string search and manipulation with RegEXHandle outliers and perform data imputation with PandasUse descriptive statistics and plotting techniquesPractice data wrangling and modeling using data generation techniquesWho this book is 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.

Publisher: Packt Publishing Limited
ISBN: 9781789800111
Number of pages: 452
Dimensions: 93 x 75 mm

You may also be interested in...

Principles of Data Management
Added to basket
Computer Forensics
Added to basket
Designing Data-Intensive Applications
Added to basket
Think Stats 2e
Added to basket
Database Principles
Added to basket
Mixed media product
Doing Data Science
Added to basket
Visualization Analysis and Design
Added to basket
The Elements of Statistical Learning
Added to basket
Getting Started with Data Science
Added to basket
Data Analysis Using SQL and Excel
Added to basket
Data Mining Techniques
Added to basket
T-SQL Querying
Added to basket

Please sign in to write a review

Your review has been submitted successfully.