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Название: Python Tools for Data Scientists: Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 323
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. This book contains a fast-paced introduction to as much relevant information about Python tools for data scientists as possible that can be reasonably included in a book of this size. If you are a novice, this book will give you a starting point from which you can decide which Python technologies that you want to explore in greater detail.
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 323
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. This book contains a fast-paced introduction to as much relevant information about Python tools for data scientists as possible that can be reasonably included in a book of this size. If you are a novice, this book will give you a starting point from which you can decide which Python technologies that you want to explore in greater detail.