本課程是針對欲學習Python應用程式開發，或金融資料科學與分析的同學所設計的入門課程。內容著重在教導同學學習並熟悉Python物件導向程式設計與基礎的資料科學應用實務。Python 是一種強大的物件導向程式語言，具有非常廣泛的功能，例如用作網路、遊戲、伺服器、科學計算、軟體發展、影像辨識、繪圖、雲端運算、資料科學、機器學習與機器人控制等等，幾乎各方面應用皆可使用 Python，相關資源非常多且實用。本課程為培養財金所學生具備在任何作業系統的平台上，擁有設計開發Python應用程式與數據分析的基礎能力，以提升本所學生畢業後的職場專業能力。This course is an entry-level course designed by students who want to learn Python applications, or financial data science and analysis. The content focuses on teaching classmates and being familiar with Python object-oriented program design and basic data science application practices. Python is a powerful object-oriented programming language with very wide functions, such as being used as network, games, servers, scientific computing, software development, image recognition, drawing, cloud computing, data science, machine learning and robot control, etc., and can use Python in almost all aspects of applications, with many related resources and practical. This course is to cultivate students of the Financial Institute to have the basic ability to design and develop Python applications and data analysis on the platform of any business system to improve the professional skills of our students after graduation.
教科書：
Python 程式設計與數據分析，白文章著，2019.01，普林斯頓國際有限公司。
Textbook:
Python Programming and Data Analysis, Bai Wenhuan, 2019.01, Princeton International Co., Ltd.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席出席 Attend |
20 | 點名次數不限，實施扣分制，課前請假扣一分，課後請假與缺席一次扣二分。 |
| 程式作業程式作業 Programming |
80 | 約5次作業，每次作業配分占學期總成績16分。 |
