Hands On Numpy For Numerical Analysis Unlock Numpy With Google Colab For High Performance Numerical Computing And Optimizing Numerical Data Analysis
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Hands On Numpy For Numerical Analysis Unlock Numpy With Google Colab For High Performance Numerical Computing And Optimizing Numerical Data Analysis
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Author : Rituraj Dixit
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-03-18
Hands On Numpy For Numerical Analysis Unlock Numpy With Google Colab For High Performance Numerical Computing And Optimizing Numerical Data Analysis written by Rituraj Dixit and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Computers categories.
Unlock the Power of NumPy to Accelerate Data Analysis and Computing. Key Features● Master NumPy concepts with hands-on examples and real-world use cases.● Learn efficient numerical data analysis and performance optimization.● Explore advanced NumPy functions for data science and ML workflows. Book DescriptionNumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools. Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance. Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today! What you will learn● Master NumPy array operations for high-performance numerical computing.● Optimize data analysis workflows with efficient NumPy techniques.● Perform advanced linear algebra and matrix operations using NumPy.● Conduct statistical and exploratory data analysis with NumPy tools.● Build end-to-end data processing pipelines with NumPy.● Leverage NumPy for predictive modeling and machine learning tasks.
Hands On Numpy For Numerical Analysis
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Author : Rituraj Dixit
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-03-18
Hands On Numpy For Numerical Analysis written by Rituraj Dixit and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Computers categories.
TAGLINE Unlock the Power of NumPy to Accelerate Data Analysis and Computing. KEY FEATURES ● Master NumPy concepts with hands-on examples and real-world use cases. ● Learn efficient numerical data analysis and performance optimization. ● Explore advanced NumPy functions for data science and ML workflows. DESCRIPTION NumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools. Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance. Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today! WHAT WILL YOU LEARN ● Master NumPy array operations for high-performance numerical computing. ● Optimize data analysis workflows with efficient NumPy techniques. ● Perform advanced linear algebra and matrix operations using NumPy. ● Conduct statistical and exploratory data analysis with NumPy tools. ● Build end-to-end data processing pipelines with NumPy. ● Leverage NumPy for predictive modeling and machine learning tasks. WHO IS THIS BOOK FOR? This book is tailored for data scientists, analysts, engineers, and researchers looking to master NumPy for efficient numerical computing. A basic understanding of Python is recommended, but no prior expertise in numerical analysis is required. TABLE OF CONTENTS 1. Getting Started with NumPy 2. Understanding NumPy Array 3. Data Type (dtype) in NumPy Array 4. Indexing and Slicing in NumPy Array 5. NumPy Array Operations 6. NumPy Array I/O 7. Linear Algebra with NumPy 8. Advanced Numerical Computing 9. Exploratory Data Analysis 10. Performance Optimization 11. Implementing a Machine Learning Algorithm Index
Hands On Numpy For Numerical Analysis Unlock Numpy With Google Colab For High Performance Numerical Computing And Optimizing Numerical Data Analysis
DOWNLOAD
Author : Rituraj Dixit
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-03-18
Hands On Numpy For Numerical Analysis Unlock Numpy With Google Colab For High Performance Numerical Computing And Optimizing Numerical Data Analysis written by Rituraj Dixit and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Computers categories.
Unlock the Power of NumPy to Accelerate Data Analysis and Computing. Key Features● Master NumPy concepts with hands-on examples and real-world use cases.● Learn efficient numerical data analysis and performance optimization.● Explore advanced NumPy functions for data science and ML workflows. Book DescriptionNumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools. Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance. Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today! What you will learn● Master NumPy array operations for high-performance numerical computing.● Optimize data analysis workflows with efficient NumPy techniques.● Perform advanced linear algebra and matrix operations using NumPy.● Conduct statistical and exploratory data analysis with NumPy tools.● Build end-to-end data processing pipelines with NumPy.● Leverage NumPy for predictive modeling and machine learning tasks.
Mastering Numerical Computing With Numpy
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Author : Umit Mert Cakmak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-28
Mastering Numerical Computing With Numpy written by Umit Mert Cakmak and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-28 with Computers categories.
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 Description NumPy 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 for Mastering 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.
Learn Numpy
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Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-07-13
Learn Numpy written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Business & Economics categories.
LEARN NumPy Master Data Processing and Advanced Calculations in Python This book is ideal for students and professionals seeking to master NumPy for data analysis, scientific automation, and advanced computing in Python. With a practical approach and applied examples, you will learn to perform vectorized operations, efficiently handle multidimensional arrays, and integrate with leading libraries such as Pandas, SciPy, TensorFlow, PyTorch, and machine learning frameworks. The content includes techniques for processing large data volumes, performance optimization for deep learning, statistical analysis, linear algebra, broadcasting, slicing, aggregation, boolean filters, and integration with Jupyter, Anaconda, AWS, Google Colab, Databricks, and cloud environments. Prepare to build scalable solutions in data science, financial automation, engineering, academic research, and high-performance industrial projects. Includes: • Vectorized operations and advanced array manipulation • Integration with Pandas, SciPy, TensorFlow, and PyTorch • Techniques in linear algebra, statistics, and numerical analysis • Performance optimization for big data and deep learning • Visualization practices with Matplotlib, Seaborn, and Plotly • Workflow automation in cloud, edge, and HPC clusters • Best practices for scientific and industrial projects Master NumPy and boost your career in data science, engineering, artificial intelligence, and automation with robust, fast, and integrated solutions. numpy, python, data analysis, multidimensional arrays, linear algebra, deep learning, pandas, scipy, tensorflow, big data, scientific computing, automation, jupyter, cloud, databricks
Hands On Data Analysis With Numpy And Pandas
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Author : Curtis Miller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-29
Hands On Data Analysis With Numpy And Pandas written by Curtis Miller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Computers categories.
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 Description Python, 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 for Hands-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.
Numerical Python
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Author : Robert Johansson
language : en
Publisher: Apress
Release Date : 2019-01-19
Numerical Python written by Robert Johansson and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-19 with Computers categories.
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. What You'll Learn Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its related ecosystem for numerical computing.
Hands On Data Analysis With Numpy And Pandas
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Author : Curtis Miller
language : en
Publisher:
Release Date : 2018
Hands On Data Analysis With Numpy And Pandas written by Curtis Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Numerical analysis categories.
Get to grips with the most popular Python packages that make data analysis possible About This Book 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 Who This Book Is For Hands-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. 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 In Detail Python, 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. Style and approach A step-by-step approach, taking you through the different concepts and features of Data Analysis using Python libraries and tools. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
Numpy Essentials
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Author : Leo (Liang-Huan) Chin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-04-28
Numpy Essentials written by Leo (Liang-Huan) Chin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-28 with Computers categories.
Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About This Book 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 functions Who This Book Is For If 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. 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 Scikits In Detail In 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. Style and approach This quick guide will help you get to grips with the nitty-gritties of NumPy using with practical programming examples. Each topic is explained in both theoretical and practical ways with hands-on examples providing you efficient way of learning and adequate knowledge to support your professional work.
Numpy Beginner S Guide
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Author : Ivan Idris
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-06-24
Numpy Beginner S Guide written by Ivan Idris and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-24 with Computers categories.
In 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 will give you both speed and high productivity. This book will walk you through NumPy with clear, step-by-step examples and just the right amount of theory. The book focuses 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, finding the inverse of a matrix, and determining eigenvalues, among many others. This book is a one-stop solution to knowing the ins and outs of the vast NumPy library, empowering you to use its wide range of mathematical features to build efficient, high-speed programs.