Data Science Programming All-In-One for Dummies

Most of the books on the market are written for the science professional and often limit their audience to a reader specializing in data science, AI, or computer science. These books focus on people who already have the coding knowledge to write applications, the math background to work with algorithms, and the data management background to interact with data sources successfully. This book addresses their needs by providing simple techniques to access data, manipulate it using clearly described algorithms, and interacting with it using code written in one of three languages. The result is a book that has a broad audience of people who need this resource.

Data science is always part of something bigger. Most books look at data science as the means to an end, but the real world doesn't work this way. In the real world, a person uses data science to find essential data that is then used to do something else. Many applications require the use of data science, such as security systems, AI, analysis for research, medicine, and even seemingly odd applications like oceanography.

This is the only book on the market that provides coverage in the three most popular data science languages: Python, R, and Java. Most books support only one language, with Python being the most popular (followed closely by R). By supporting multiple languages, this book has an advantage in being able to use the easiest language to write any particular example and to be able to compare the languages as the book progresses. The reader can use this information to easily discern which languages work better for specific data science needs.

市面上的大部分書籍都是為科學專業人士撰寫的，並且通常僅限於專精於數據科學、人工智慧或計算機科學的讀者。這些書籍專注於那些已經具備編寫應用程式的編碼知識、處理算法的數學背景以及成功與數據源進行交互的數據管理背景的人群。本書通過提供簡單的技巧來訪問數據、使用清晰描述的算法對其進行操作以及使用三種語言編寫的代碼與之交互，以滿足他們的需求。結果是一本擁有廣泛讀者群的書籍，這些讀者需要這樣的資源。

數據科學總是屬於更大的一部分。大多數書籍將數據科學視為達到目的的手段，但現實世界並不是這樣運作的。在現實世界中，人們使用數據科學來找到重要的數據，然後用這些數據來做其他事情。許多應用程序需要使用數據科學，例如安全系統、人工智慧、研究分析、醫學，甚至像海洋學等看似奇怪的應用。

這是市場上唯一一本涵蓋三種最流行的數據科學語言（Python、R和Java）的書籍。大多數書籍僅支持一種語言，其中Python是最受歡迎的（其次是R）。通過支持多種語言，本書在能夠使用最簡單的語言來編寫特定示例以及在書籍進展中比較這些語言方面具有優勢。讀者可以利用這些信息輕鬆判斷哪種語言更適合特定的數據科學需求。

John Mueller has produced 114 books and more than 600 articles on topics ranging from functional programming techniques to working with Amazon Web Services (AWS). Luca Massaron, a Google Developer Expert (GDE), interprets big data and transforms it into smart data through simple and effective data mining and machine learning techniques.

John Mueller已經出版了114本書籍，並撰寫了超過600篇文章，涵蓋的主題從功能性程式設計技巧到與Amazon Web Services (AWS)的合作。Luca Massaron是一位Google Developer Expert (GDE)，他通過簡單而有效的數據挖掘和機器學習技術，將大數據解讀並轉化為智能數據。