Python for Scientific Computing and Artificial Intelligence

Lynch, Stephen

Python for Scientific Computing and Artificial Intelligence

相關主題

商品描述

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

商品描述(中文翻譯)

《Python for Scientific Computing and Artificial Intelligence》一書分為三個部分：第一部分介紹了Python程式語言，並展示了Python如何幫助理解高中數學的進階知識。第二部分展示了Python如何用於解決來自各個科學領域的現實問題。最後，第三部分介紹了神經網絡，並展示了如何使用Python中的TensorFlow來解決人工智能（AI）領域的各種問題。

這本書是作者在過去二十多年中所進行的一系列國內外研討會的成果。該書適合初學者閱讀，並強調實踐性的編程和計算建模。

特點：
- 不需要任何編程經驗。
- 提供了在線GitHub存儲庫，讓讀者練習使用程式碼。
- 涵蓋了生物學、化學、計算機科學、數據科學、電氣和機械工程、經濟學、數學、物理學、統計學和二進制振盪器計算等領域的應用和示例。
- 提供了Jupyter筆記本形式的練習全解答。

支援資料：
- Python文件和筆記本的GitHub存儲庫：https://github.com/proflynch/CRC-Press/
- 所有練習的解答：
- 第一部分：Python介紹：https://drstephenlynch.github.io/webpages/Solutions_Section_1.html
- 第二部分：科學計算的Python：https://drstephenlynch.github.io/webpages/Solutions_Section_2.html
- 第三部分：人工智能：https://drstephenlynch.github.io/webpages/Solutions_Section_3.html

作者簡介

In 2022, Stephen Lynch was named a National Teaching Fellow, which celebrates and recognises individuals who have made an outstanding impact on student outcomes and teaching in higher education. He won the award for his work in programming in the STEM subjects, research feeding into teaching, and widening participation (using experiential and object-based learning). Although educated as a pure mathematician, Stephen's many interests now include applied mathematics, cell biology, electrical engineering, computing, neural networks, nonlinear optics and binary oscillator computing, which he co-invented with a colleague. He has authored 2 international patents for inventions, 8 books, 4 book chapters, over 40 journal articles, and a few conference proceedings. Stephen is a Fellow of the Institute of Mathematics and Its Applications (FIMA) and a Senior Fellow of the Higher Education Academy (SFHEA). He is currently a Reader with MMU and was an Associate Lecturer with the Open University from 2008-2012. In 2010, Stephen volunteered as a STEM Ambassador, in 2012, he was awarded MMU Public Engagement Champion status, and in 2014 he became a Speaker for Schools. He runs national workshops on "Python for A-Level Mathematics and Beyond," and international workshops on "Python for Scientific Computing and TensorFlow for Artificial Intelligence." He has run workshops in China, Malaysia, Singapore, and the USA.

作者簡介(中文翻譯)

在2022年，Stephen Lynch被授予國家教學獎學金(National Teaching Fellow)的榮譽，該獎項表彰並肯定在高等教育中對學生成果和教學產生卓越影響的個人。他因在STEM科目的程式設計、研究與教學相結合以及擴大參與度（使用體驗式和物件導向學習）方面的工作而獲得此獎項。儘管他的教育背景是純數學家，但Stephen現在的興趣包括應用數學、細胞生物學、電氣工程、計算機科學、神經網絡、非線性光學和二進制振盪器計算，他與同事共同發明了這項技術。他已經撰寫了2項國際專利發明、8本書籍、4篇書籍章節、40多篇期刊文章和幾篇會議論文。Stephen是英國數學學會院士(Fellow of the Institute of Mathematics and Its Applications, FIMA)和英國高等教育學院高級院士(Senior Fellow of the Higher Education Academy, SFHEA)。他目前是MMU的讀者(Reader)，並在2008年至2012年期間擔任Open University的副講師。2010年，Stephen作為STEM大使自願參與，2012年，他獲得了MMU公共參與冠軍的地位，2014年成為學校演講者。他主持全國性的“Python適用於A-Level數學及更高級的工作坊”，以及國際性的“Python適用於科學計算和TensorFlow適用於人工智慧的工作坊”。他曾在中國、馬來西亞、新加坡和美國舉辦工作坊。

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