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

Description: Product Description : Data Wrangling with Python: Creating actionable data from raw sources Simplify your ETL processes with these handson data hygiene tips tricks and best practices Key Features 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 Book DescriptionFor 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 domainThe 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 Youll 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 prebuilt routines in Python This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extracttransform data from an array of sources including the Internet large database vaults and Excel financial tables To help you prepare for more challenging scenarios youll 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 realworld examples and datasetsBy 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 learn Use and manipulate complex and simple data structures Harness the full potential of DataFrames and numpyarray 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 Who this book is forData Wrangling with Python is designed for developers data analysts and business analysts who are keen to pursue a career as a fullfledged 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 Table of Contents Introduction to Data Wrangling with Python Advanced Data Structures and File Handling Introduction to Numpy Pandas and Matplotlib A Deep Dive into Data Wrangling with Python Getting Comfortable with Different Kinds of Data Sources Learning the Hidden Secrets of Data Wrangling Advanced Web Scraping and Data Gathering RDBMS and SQL Application of Data Wrangling in Real Life( it is an used product )

Price: 30.52 USD

Location: Houston, Texas

End Time: 2024-09-10T07:04:57.000Z

Shipping Cost: 0 USD