Introduction to Python : with applications in optimization, image and video processing, and machine learning / David Báez-López, David Alfredo Báez Villegas.

By:

Báez-López, David [author.]

Contributor(s):

Báez Villegas, David Alfredo [author.]

Material type: Text

TextLanguage: English Series: Chapman & Hall/CRC the Python seriesPublisher: Boca Raton : C&H : CRC Press, 2024Edition: First editionDescription: 163 pages. Illations 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781032117676
9781032119106

Subject(s):

Additional physical formats: Online version:: Introduction to PythonLOC classification:

QA76.73.P98 B335 2024

Summary: "Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool. The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book"-- Provided by publisher.

List(s) this item appears in: Computer science - October 2025 | business - Nov 2025

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	MAIN College of Computer Information Technology (CET)	College of Computer Information Technology (CET)	QA76.73.P98 .B335 2024 (Browse shelf(Opens below))	1	Available		7789877

Includes bibliographical references and index.

"Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool. The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book"-- Provided by publisher.

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