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Synopsis
A step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy.
If you are a programmer, scientist, or engineer who has a basic Python knowledge and wants to do numerical computations with Python, this book is for you.
"synopsis" may belong to another edition of this title.
About the Author
Ivan Idris
Ivan Idris has an MSc in Experimental Physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are Business Intelligence, Big Data, and Cloud Computing. He enjoys writing clean, testable code and interesting technical articles. He is the author of NumPy 1.5 Beginner's Guideand NumPy Cookbook, Packt Publishing. You can find more information and a blog with a few NumPy examples at ivanidris.net.
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Learning NumPy Array
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Condition: Good. Key Features Book DescriptionA step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.What you will learn Install NumPy and discover its arrays and features Perform data analysis and complex array operations with NumPy Analyze time series and perform signal processing Understand NumPy modules and explore the scientific Python ecosystem Improve the performance of calculations with clean and efficient NumPy code Analyze large data sets using statistical functions and execute complex linear algebra and mathematical computations Who this book is for. Seller Inventory # CIN1783983906G
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Digital. Condition: New. Key FeaturesBook DescriptionA step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.What you will learnInstall NumPy and discover its arrays and featuresPerform data analysis and complex array operations with NumPyAnalyze time series and perform signal processingUnderstand NumPy modules and explore the scientific Python ecosystemImprove the performance of calculations with clean and efficient NumPy codeAnalyze large data sets using statistical functions and execute complex linear algebra and mathematical computationsWho this book is for. Seller Inventory # LU-9781783983902
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