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Numerical methods with Python : for the sciences / William Miles.

By: Miles, William [author.]Material type: Text

TextSeries: De Gruyter textbookPublisher: Berlin : Walter De Gruyter GmbH, c2023Description: x, 314 pages : color illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9783110776454 [paperback]Subject(s): Python (Computer program language) | Science -- Data processing | Computer programming

Contents:

Contents: 1 Introduction -- 2 The basic operations in Python -- 3 Functions -- 4 Matrices, vectors, and linear systems -- 5 Iteration -- 6 Statistics -- 7 Regression -- A Python code -- B Solutions.

Summary: "Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others. The text could be used by students and lecturers for courses in Python, Numerical Methods, or as a first course in Data Science."--Provided by the publisher

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Item type	Current location	Call number	Status	Date due	Barcode
Subject Reference	College Annex Library Subject Reference	518 M59 2023 (Browse shelf)	Available		3UCBL000028720

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Previous	515.352 M31 2018 Differential equations /	515.352 M69 2023 Differential equations /	518 C36 2023 Applied numerical methods with MATLAB for engineers and scientists /	518 M59 2023 Numerical methods with Python : for the sciences /	518.1 R53 2001 Awaken the giant within : how to take immediate control of your mental, emotional, physical and financial destiny /	519.5 M97 2024 Statistics and data analysis for engineers and scientists /	519.5 N22 2024 Statistics for engineers and scientists /	Next

Includes index.

Contents: 1 Introduction -- 2 The basic operations in Python -- 3 Functions -- 4 Matrices, vectors, and linear systems -- 5 Iteration -- 6 Statistics -- 7 Regression -- A Python code -- B Solutions.

"Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others.

The text could be used by students and lecturers for courses in Python, Numerical Methods, or as a first course in Data Science."--Provided by the publisher