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Learning pandas - Second Edition: High performance data manipulation and analysis using Python - Tapa blanda
Sinopsis
Key Features
- Get comfortable using pandas and Python as an effective data exploration and analysis tool
- Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process
- A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas
Book Description
You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.
With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.
What you will learn
- Understand how data analysts and scientists think about of the processes of gathering and understanding data
- Learn how pandas can be used to support the end-to-end process of data analysis
- Use pandas Series and DataFrame objects to represent single and multivariate data
- Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources
- How to access data from external sources such as files, databases, and web services
- Represent and manipulate time-series data and the many of the intricacies involved with this type of data
- How to visualize statistical information
- How to use pandas to solve several common data
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book * Get comfortable using pandas and Python as an effective data exploration and analysis tool * Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process * A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas Who This Book Is For This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required. What You Will Learn * Understand how data analysts and scientists think about of the processes of gathering and understanding data * Learn how pandas can be used to support the end-to-end process of data analysis * Use pandas Series and DataFrame objects to represent single and multivariate data * Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources * How to access data from external sources such as files, databases, and web services * Represent and manipulate time-series data and the many of the intricacies involved with this type of data * How to visualize statistical information * How to use pandas to solve several common data representation and analysis problems within finance In Detail You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science. Style and approach * Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis * Practical demonstration of using Python and pandas using interactive and incremental examples
Biografía del autor
Michael Heydt is a technologist, entrepreneur, and educator with decades of professional software development and financial and commodities trading experience. He has worked extensively on Wall Street specializing in the development of distributed, actor-based, highperformance, and high-availability trading systems. He is currently founder of Micro Trading Services, a company that focuses on creating cloud and micro service-based software solutions for finance and commodities trading. He holds a master's in science in mathematics and computer science from Drexel University, and an executive master's of technology management from the University of Pennsylvania School of Applied Science and the Wharton School of Business.
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Learning Pandas, Second Edition
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ISBN 10: 1787123138
ISBN 13: 9781787123137
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Tapa blanda
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Learning pandas Second Edition High performance data manipulation and analysis using Python
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Learning Pandas, Second Edition (Paperback or Softback)
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ISBN 10: 1787123138
ISBN 13: 9781787123137
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Learning pandas -
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ISBN 10: 1787123138
ISBN 13: 9781787123137
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Digital. Condición: New. Second. Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discoveryAbout This Book. Get comfortable using pandas and Python as an effective data exploration and analysis tool. Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process. A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandasWho This Book Is ForThis book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required.What You Will Learn. Understand how data analysts and scientists think about of the processes of gathering and understanding data. Learn how pandas can be used to support the end-to-end process of data analysis. Use pandas Series and DataFrame objects to represent single and multivariate data. Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources. How to access data from external sources such as files, databases, and web services. Represent and manipulate time-series data and the many of the intricacies involved with this type of data. How to visualize statistical information. How to use pandas to solve several common data representation and analysis problems within financeIn DetailYou will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.Style and approach. Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis. Practical demonstration of using Python and pandas using interactive and incremental examples. Nº de ref. del artículo: LU-9781787123137
Cantidad disponible: Más de 20 disponibles