Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK
Packt Publishing
2019
|
| Edition: | Second edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781789343236/?ar |
| Summary: | Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key Features 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 Book 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. 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 Who this book is 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. |
| Item Description: | Previous edition published: 2015. - Includes bibliographical references. - Online resource; title from title page (Safari, viewed February 7, 2020) |
| Physical Description: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9781789343359 1789343356 9781789343236 |
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| spelling | Kumar, Ashish VerfasserIn aut Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques Ashish Kumar Second edition. Birmingham, UK Packt Publishing 2019 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous edition published: 2015. - Includes bibliographical references. - Online resource; title from title page (Safari, viewed February 7, 2020) Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key Features 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 Book 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. 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 Who this book is 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. Python (Computer program language) Data structures (Computer science) Statistics Computer programs Quantitative research Python (Langage de programmation) Structures de données (Informatique) Statistique ; Logiciels Recherche quantitative Statistics ; Computer programs |
| spellingShingle | Kumar, Ashish Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques Python (Computer program language) Data structures (Computer science) Statistics Computer programs Quantitative research Python (Langage de programmation) Structures de données (Informatique) Statistique ; Logiciels Recherche quantitative Statistics ; Computer programs |
| title | Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques |
| title_auth | Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques |
| title_exact_search | Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques |
| title_full | Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques Ashish Kumar |
| title_fullStr | Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques Ashish Kumar |
| title_full_unstemmed | Mastering pandas a complete guide to pandas, from installation to advanced data analysis techniques Ashish Kumar |
| title_short | Mastering pandas |
| title_sort | mastering pandas a complete guide to pandas from installation to advanced data analysis techniques |
| title_sub | a complete guide to pandas, from installation to advanced data analysis techniques |
| topic | Python (Computer program language) Data structures (Computer science) Statistics Computer programs Quantitative research Python (Langage de programmation) Structures de données (Informatique) Statistique ; Logiciels Recherche quantitative Statistics ; Computer programs |
| topic_facet | Python (Computer program language) Data structures (Computer science) Statistics Computer programs Quantitative research Python (Langage de programmation) Structures de données (Informatique) Statistique ; Logiciels Recherche quantitative Statistics ; Computer programs |
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