Perform advanced data manipulation tasks using pandas and become an expert data analyst.
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.
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Ashish Kumar is seasoned data science professional and a published author with a social bent of mind. An IIT Madras grad and a Young India Fellow, he has 6+ years of experience in implementing and deploying Data Science & ML solutions for challenging industry problems in both hands-on and managerial roles. NLP, IoT Analytics, R Shiny development, Customer & Product Analytics are some of his core expertise and is fluent in Python and R. When not crunching data, he sneaks to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling startups.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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