Python for Programmers First Edition by Paul Deitel, Harvey M. Deitel – Ebook PDF Instant Download/Delivery: 9353947987, 978-9353947989
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Product details:
ISBN 10: 9353947987
ISBN 13: 978-9353947989
Author: Paul Deitel, Harvey M. Deitel
The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, Spark™ and NoSQL databases, the Internet of Things and more
Table of contents:
Chapter 1: Introduction to Computers and Python
Chapter 2: Introduction to Python Programming
Chapter 3: Control Statements
Chapter 4: Functions
Chapter 5: Sequences: Lists and Tuples
Chapter 6: Dictionaries and Sets
Chapter 7: Array-Oriented Programming with NumPy
Chapter 8: Strings: A Deeper Look
Chapter 9: Files and Exceptions
Chapter 10: Object-Oriented Programming
Chapter 11: Natural Language Processing (NLP)
Chapter 12: Data Mining Twitter
Chapter 13: IBM Watson and Cognitive Computing
Chapter 14: Machine Learning: Classification, Regression and Clustering
Chapter 15: Deep Learning
Chapter 16: Big Data: Hadoop, Spark, NoSQL and IoT
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Tags: Paul Deitel, Harvey M Deitel, Python, Programmers