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Hands-On Data Analysis with NumPy and pandas - Implement Python packages from data manipulation to processing (Paperback)
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Hands-On Data Analysis with NumPy and pandas - Implement Python packages from data manipulation to processing (Paperback)
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Get to grips with the most popular Python packages that make data
analysis possible Key Features Explore the tools you need to become
a data analyst Discover practical examples to help you grasp data
processing concepts Walk through hierarchical indexing and grouping
for data analysis Book DescriptionPython, a multi-paradigm
programming language, has become the language of choice for data
scientists for visualization, data analysis, and machine learning.
Hands-On Data Analysis with NumPy and Pandas starts by guiding you
in setting up the right environment for data analysis with Python,
along with helping you install the correct Python distribution. In
addition to this, you will work with the Jupyter notebook and set
up a database. Once you have covered Jupyter, you will dig deep
into Python's NumPy package, a powerful extension with advanced
mathematical functions. You will then move on to creating NumPy
arrays and employing different array methods and functions. You
will explore Python's pandas extension which will help you get to
grips with data mining and learn to subset your data. Last but not
the least you will grasp how to manage your datasets by sorting and
ranking them. By the end of this book, you will have learned to
index and group your data for sophisticated data analysis and
manipulation. What you will learn Understand how to install and
manage Anaconda Read, sort, and map data using NumPy and pandas
Find out how to create and slice data arrays using NumPy Discover
how to subset your DataFrames using pandas Handle missing data in a
pandas DataFrame Explore hierarchical indexing and plotting with
pandas Who this book is forHands-On Data Analysis with NumPy and
Pandas is for you if you are a Python developer and want to take
your first steps into the world of data analysis. No previous
experience of data analysis is required to enjoy this book.
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