BiteSize Python for Absolute Beginners: With Practice Labs, Real-World Examples, and Generative AI Assistance
暫譯: 絕對初學者的簡明 Python：包含實作實驗室、真實案例及生成式 AI 協助
Wu, Di
相關主題
商品描述
As an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies.
While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minutes each, following our BiteSize approach. Each lesson begins with a clear and short introduction to the topic. This gives you a strong base to start from and gets you ready for deeper learning. Then, you will see coding demonstrations that show the ideas discussed. These examples are simple and useful, helping you really understand the concepts. You'll then practice tasks at different difficulty levels, so you can test your knowledge and increase your confidence. You'll also play with case studies to solve real-world problems. Tips are included to show how you can incorporate generative AI into your learning toolkit, using it for feedback, practice exercises, code reviews, and exploring advanced topics. Recommended AI prompts can help you identify areas for improvement, review key concepts, and track your progress.
This book is designed for absolute beginners with no prior programming experience. It is ideal for individuals with busy schedules or limited time for studying.
商品描述(中文翻譯)
作為 Python 的入門書籍，本書讓讀者以緩慢而穩定的方式理解 Python 代碼，解釋概念，將程式設計與現實生活範例相連結，撰寫 Python 程式，並完成案例研究。
雖然有許多書籍、網站和線上課程涉及此主題，但我們將 Python 程式設計拆解為每個少於 5 分鐘的易於消化的課程，遵循我們的 BiteSize 方法。每個課程以清晰且簡短的主題介紹開始，這為您提供了堅實的基礎，並為更深入的學習做好準備。接著，您將看到顯示所討論概念的程式碼示範。這些範例簡單且實用，幫助您真正理解這些概念。然後，您將練習不同難度級別的任務，以便測試您的知識並增強自信心。您還將透過案例研究來解決現實世界中的問題。書中包含提示，顯示如何將生成式 AI 融入您的學習工具包，利用它進行反饋、練習題、代碼審查以及探索進階主題。推薦的 AI 提示可以幫助您識別改進的領域、回顧關鍵概念並追蹤您的進度。
本書專為完全沒有程式設計經驗的初學者設計，特別適合時間緊湊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財務、資訊系統及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、數據庫、商業統計、管理決策、程式語言（C++、Java 和 Python）、數據結構與演算法、數據挖掘、大數據和機器學習。
