本书《Python for Programmers》旨在为程序员提供使用Python进行大数据与人工智能开发的专业指导，结合实际案例深入浅出地讲解技术原理和应用。
The professional programmer’s Deitel guide to Python with introductory artificial intelligence case studies is designed for programmers who already have experience in another high-level language. This book uses hands-on instruction to teach todays most compelling and leading-edge computing technologies through programming in Python, one of the worlds most popular and fastest-growing languages.
By reading the Table of Contents diagram on the front cover and the Preface, you can learn more about this guide. The book includes over 500 real-world examples ranging from individual code snippets to 40 large scripts and full implementation case studies. You will use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms.
After covering Chapters 1 through 5 and a few key parts of Chapters 6 and 7, youll be able to handle significant portions of the hands-on introductory AI case studies presented in Chapters 11 through 16. These chapters contain powerful contemporary examples such as natural language processing, data mining Twitter for sentiment analysis, cognitive computing with IBM Watson™, supervised machine learning using classification and regression techniques, unsupervised machine learning with clustering methods, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data technologies like Hadoop and Spark™ along with NoSQL databases, the Internet of Things (IoT), and more.
Throughout these chapters, you will work directly or indirectly with various cloud-based services including Twitter, Google Translate™, IBM Watson, Microsoft Azure, OpenMapQuest, PubNub among others.
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