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Python for Scientific Computing and Artificial Intelligence

Af: Stephen Lynch Engelsk Paperback

Python for Scientific Computing and Artificial Intelligence

Af: Stephen Lynch Engelsk Paperback
Tjek vores konkurrenters priser

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).

This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.

Features:

  • No prior experience of programming is required
  • Online GitHub repository available with codes for readers to practice
  • Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing
  • Full solutions to exercises are available as Jupyter notebooks on the Web

Support Material

GitHub Repository of Python Files and Notebooks: https://github.com/proflynch/CRC-Press/

Solutions to All Exercises:

Section 1: An Introduction to Python: https://drstephenlynch.github.io/webpages/Solutions_Section_1.html

Section 2: Python for Scientific Computing: https://drstephenlynch.github.io/webpages/Solutions_Section_2.html

Section 3: Artificial Intelligence: https://drstephenlynch.github.io/webpages/Solutions_Section_3.html

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Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).

This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.

Features:

  • No prior experience of programming is required
  • Online GitHub repository available with codes for readers to practice
  • Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing
  • Full solutions to exercises are available as Jupyter notebooks on the Web

Support Material

GitHub Repository of Python Files and Notebooks: https://github.com/proflynch/CRC-Press/

Solutions to All Exercises:

Section 1: An Introduction to Python: https://drstephenlynch.github.io/webpages/Solutions_Section_1.html

Section 2: Python for Scientific Computing: https://drstephenlynch.github.io/webpages/Solutions_Section_2.html

Section 3: Artificial Intelligence: https://drstephenlynch.github.io/webpages/Solutions_Section_3.html

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 314
ISBN-13: 9781032258713
Indbinding: Paperback
Udgave:
ISBN-10: 1032258713
Kategori: Automatisk styrings- & reguleringsteknik
Udg. Dato: 15 jun 2023
Længde: 20mm
Bredde: 254mm
Højde: 177mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 15 jun 2023
Forfatter(e): Stephen Lynch
Forfatter(e) Stephen Lynch

Kategori Automatisk styrings- & reguleringsteknik

ISBN-13 9781032258713

Sprog Engelsk

Indbinding Paperback

Sider 314

Udgave

Længde 20mm

Bredde 254mm

Højde 177mm

Udg. Dato 15 jun 2023

Oplagsdato 15 jun 2023

Forlag Taylor & Francis Ltd