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Mastering Numerical Computing with NumPy - Master scientific computing and perform complex operations with ease (Paperback)
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Mastering Numerical Computing with NumPy - Master scientific computing and perform complex operations with ease (Paperback)
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Enhance the power of NumPy and start boosting your scientific
computing capabilities Key Features Grasp all aspects of numerical
computing and understand NumPy Explore examples to learn
exploratory data analysis (EDA), regression, and clustering Access
NumPy libraries and use performance benchmarking to select the
right tool Book DescriptionNumPy is one of the most important
scientific computing libraries available for Python. Mastering
Numerical Computing with NumPy teaches you how to achieve expert
level competency to perform complex operations, with in-depth
coverage of advanced concepts. Beginning with NumPy's arrays and
functions, you will familiarize yourself with linear algebra
concepts to perform vector and matrix math operations. You will
thoroughly understand and practice data processing, exploratory
data analysis (EDA), and predictive modeling. You will then move on
to working on practical examples which will teach you how to use
NumPy statistics in order to explore US housing data and develop a
predictive model using simple and multiple linear regression
techniques. Once you have got to grips with the basics, you will
explore unsupervised learning and clustering algorithms, followed
by understanding how to write better NumPy code while keeping
advanced considerations in mind. The book also demonstrates the use
of different high-performance numerical computing libraries and
their relationship with NumPy. You will study how to benchmark the
performance of different configurations and choose the best for
your system. By the end of this book, you will have become an
expert in handling and performing complex data manipulations. What
you will learn Perform vector and matrix operations using NumPy
Perform exploratory data analysis (EDA) on US housing data Develop
a predictive model using simple and multiple linear regression
Understand unsupervised learning and clustering algorithms with
practical use cases Write better NumPy code and implement the
algorithms from scratch Perform benchmark tests to choose the best
configuration for your system Who this book is forMastering
Numerical Computing with NumPy is for you if you are a Python
programmer, data analyst, data engineer, or a data science
enthusiast, who wants to master the intricacies of NumPy and build
solutions for your numeric and scientific computational problems.
You are expected to have familiarity with mathematics to get the
most out of this book.
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