BiteSize Python for Intermediate Learners: With Practice Labs, Real-World Examples, and ChatGPT
暫譯: 中級學習者的精簡 Python：包含實作實驗室、真實案例與 ChatGPT
Wu, Di
商品描述
This book is an introduction to Python for intermediate learners. It allows readers to take a slow and steady approach to building upon their understanding of Python code. While there are many books, websites, and online courses about the topic, Python programming is broken down here into easily digestible lessons of less than 5 minutes each, following a tried and tested BiteSize approach.
Each lesson begins with a clear and concise introduction to the topic, giving the reader a strong base to start from and gets them ready for deeper learning. This is followed by coding demonstrations that further explore the ideas discussed. The book offers practice tasks in different difficulty levels, so readers can test their knowledge and grow their confidence. The reader will also play with case studies to solve real-world problems. Tips on how to incorporate Generative AI into a learning toolkit are provided, for purposes like feedback, practice exercises, code reviews, and exploring advanced topics. Recommended AI prompts can help readers identify areas for improvement, review key concepts, and track progress.
This book is designed for intermediate learners with a basic understanding of Python. It is ideal for individuals with busy schedules or limited time for studying.
商品描述(中文翻譯)
這本書是為中級學習者介紹 Python 的入門書籍。它讓讀者以緩慢而穩定的方式來加深對 Python 代碼的理解。雖然有許多書籍、網站和線上課程涉及這個主題，但本書將 Python 程式設計分解為每個少於 5 分鐘的易於消化的課程，遵循經過驗證的 BiteSize 方法。
每一課都以清晰簡潔的主題介紹開始，為讀者提供一個堅實的基礎，讓他們為更深入的學習做好準備。接下來是編碼示範，進一步探討所討論的概念。本書提供不同難度級別的練習任務，讓讀者可以測試自己的知識並增強自信心。讀者還將通過案例研究來解決現實世界中的問題。書中提供了如何將生成式 AI 融入學習工具包的建議，適用於反饋、練習題、代碼審查和探索進階主題等目的。推薦的 AI 提示可以幫助讀者識別改進的領域、回顧關鍵概念並追蹤進度。
這本書是為具有基本 Python 知識的中級學習者設計的。它非常適合日程繁忙或學習時間有限的個人。
作者簡介
Dr. Di Wu is an Assistant Professor of Finance, Information Systems, and Economics department of Business School, Lehman College. He obtained a Ph.D. in Computer Science from the Graduate Center, CUNY. Dr. Wu's research interests are 1) Temporal extensions to RDF and semantic web, 2) Applied Data Science, and 3) Experiential Learning and Pedagogy in business education. Dr. Wu developed and taught courses including Strategic Management, Databases, Business Statistics, Management Decision Making, Programming Languages (C++, Java, and Python), Data Structures and Algorithms, Data Mining, Big Data, and Machine Learning.
作者簡介(中文翻譯)
吳迪博士是雷曼學院商學院金融、資訊系統與經濟學系的助理教授。他在紐約市立大學研究生中心獲得計算機科學博士學位。吳博士的研究興趣包括：1) RDF 和語意網的時間擴展，2) 應用數據科學，以及 3) 商業教育中的體驗學習與教學法。吳博士開發並教授的課程包括戰略管理、資料庫、商業統計、管理決策、程式語言（C++、Java 和 Python）、資料結構與演算法、資料探勘、大數據和機器學習。
