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NumPy Essentials : Boost Your Scientific and Analytic Capabilities in No Time at All by Discovering How to Build Real-world Applications with NumPy

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Title: NumPy Essentials : Boost Your Scientific and Analytic Capabilities in No Time at All by Discovering How to Build Real-world Applications with NumPy
Description: Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPyKey Features[•] Optimize your Python scripts with powerful NumPy modules[•] Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself[•] Packed with rich examples to help you master NumPy arrays and universal functionsBook DescriptionIn today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.What you will learn[•] Manipulate the key attributes and universal functions of NumPy[•] Utilize matrix and mathematical computation using linear algebra modules[•] Implement regression and curve fitting for models[•] Perform time frequency / spectral density analysis using the Fourier Transform modules[•] Collate with the distutils and setuptools modules used by other Python libraries[•] Establish Cython with NumPy arrays[•] Write extension modules for NumPy code using the C API[•] Build sophisticated data structures using NumPy array with libraries such as Panda and ScikitsWho this book is forIf you are an experienced Python developer who intends to drive your numerical and scientific applications with NumPy, this book is for you. Prior experience or knowledge of working with the Python language is required.
Authors: Jaidev Deshpande, Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway
Resource Type: eBook.
Subjects: Numerical analysis--Data processing, Python (Computer program language)
Categories: COMPUTERS / Languages / Python, COMPUTERS / Programming / Open Source, COMPUTERS / Mathematical & Statistical Software
Database: eBook Collection (EBSCOhost)
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  Data: Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPyKey Features[•] Optimize your Python scripts with powerful NumPy modules[•] Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself[•] Packed with rich examples to help you master NumPy arrays and universal functionsBook DescriptionIn today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.What you will learn[•] Manipulate the key attributes and universal functions of NumPy[•] Utilize matrix and mathematical computation using linear algebra modules[•] Implement regression and curve fitting for models[•] Perform time frequency / spectral density analysis using the Fourier Transform modules[•] Collate with the distutils and setuptools modules used by other Python libraries[•] Establish Cython with NumPy arrays[•] Write extension modules for NumPy code using the C API[•] Build sophisticated data structures using NumPy array with libraries such as Panda and ScikitsWho this book is forIf you are an experienced Python developer who intends to drive your numerical and scientific applications with NumPy, this book is for you. Prior experience or knowledge of working with the Python language is required.
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      – Code: 518
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Numerical analysis--Data processing
        Type: general
      – SubjectFull: Python (Computer program language)
        Type: general
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      – TitleFull: NumPy Essentials : Boost Your Scientific and Analytic Capabilities in No Time at All by Discovering How to Build Real-world Applications with NumPy
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          Name:
            NameFull: Jaidev Deshpande
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            NameFull: Leo (Liang-Huan) Chin
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            NameFull: Tanmay Dutta
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            NameFull: Shane Holloway
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            NameFull: Tanmay Dutta
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            NameFull: Shane Holloway
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2016
            – D: 14
              M: 03
              Type: profile
              Y: 2018
          Identifiers:
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              Value: 9781784393670
            – Type: isbn-electronic
              Value: 9781784392185
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            – TitleFull: NumPy Essentials : Boost Your Scientific and Analytic Capabilities in No Time at All by Discovering How to Build Real-world Applications with NumPy
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