Mastering Numerical Computing with NumPy

Enhance the power of NumPy and start boosting your scientific computing capabilitiesAbout This BookGrasp all aspects of numerical computing and understand NumPyExplore examples to learn exploratory data analysis (EDA), regression, and clusteringAccess NumPy libraries and use performance benchmarking to select the right toolWho 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.What You Will LearnPerform vector and matrix operations using NumPyPerform exploratory data analysis (EDA) on US housing dataDevelop a predictive model using simple and multiple linear regressionUnderstand unsupervised learning and clustering algorithms with practical use casesWrite better NumPy code and implement the algorithms from scratchPerform benchmark tests to choose the best configuration for your systemIn DetailNumPy 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.Style and approachThis mastering guide will help you master your skills required to perform a complex numerical computation. The book contains the right mixture of theory and practical examples that will help you in dealing with the advanced NumPy and build solutions for your numeric and scientific computational problems

Price history

Manufacturer

eBooks.com