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Written for programmers with a background in another high-level language, this book 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.

Table of Content :

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

Salient Features :

.500+ hands-on, real-world, live-code examples from snippets to case studies

· IPython + code in Jupyter® Notebooks

· Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code

· Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions

· Procedural, functional-style and object-oriented programming"

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