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

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC the Python seriesPublication details: Boca Raton : C&H : CRC Press, 2024.Edition: First editionDescription: xiv, 436 p. : ill. ; 23 cmISBN:
  • 9781032117676 (hbk)
  • 9781032119106 (pbk)
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.
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Item type Current library Call number Status Barcode
Books University of Kalba QA76.73.P98 B335 2024 (Browse shelf(Opens below)) Available 00-1-384072

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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