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Books > Computing & IT > General theory of computing
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Learning pandas - (Paperback, 2nd Revised edition)
Loot Price: R1,444
Discovery Miles 14 440
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Learning pandas - (Paperback, 2nd Revised edition)
Expected to ship within 10 - 15 working days
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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
General
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