本課程介紹 Python 程式語言之基本概念與實務應用，培養學生基礎程式設計能力與運算思維。課程內容涵蓋 Python 基本語法、資料型態、流程控制、函式設計與檔案處理，並介紹常用套件進行資料處理與簡易分析。透過實作練習與案例導向教學，使學生能運用 Python 解決實務問題，並建立程式除錯與問題分析能力。本課程亦作為後續資料分析、人工智慧、物聯網與智慧製造相關課程之基礎。

This course introduces the basic concepts and practical applications of the Python programming language, and cultivates students' basic programming abilities and computational thinking. The course content covers Python's basic syntax, data types, process control, function design and file processing, and introduces commonly used packages for data processing and simple analysis. Through practical exercises and case-oriented teaching, students can use Python to solve practical problems and build program debugging and problem analysis abilities. This course also serves as the basis for subsequent courses related to data analysis, artificial intelligence, Internet of Things, and smart manufacturing.

This course teaches the principles of functional, imperative, and logic programming languages. Topics covered include: meta-circular interpreters, semantics (operational and denotational), type systems (polymorphism, inference, and abstract types), object oriented programming. The course involves substantial programming assignments and problem sets as well as a significant amount of reading. The course uses the Java, C++, or C# programming languages for its assignments.

This course teaches the principles of functional, imperative, and logic programming languages. Topics covered include: meta-circular interpreters, semantics (operational and denotational), type systems (polymorphism, inference, and abstract types), object oriented programming. The course involves substantial programming assignments and problem sets as well as a significant amount of reading. The course uses the Java, C++, or C# programming languages ​​for its assignments.

PYTHON 程式設計─數據分析與深度學習 2版 白文章

PYTHON Programming─Data Analysis and Deep Learning 2nd Edition Bai Wenzhan