Book Name: Python for Programmers: with Introductory AI Case Studies 1st Edition
Author: Paul Deitel, Harvey Deitel
Publisher: Pearson Education
ISBN-10, 13: 0135224330,978-0135224335
Year: 2019
Pages: 640 pages
Language: English
File size: 27 MB
File format: PDF,EPUB
Welcome to Python for Programmers! In this book, you’ll learn hands on with today’s most compelling, leading edge computing technologies, and you’ll program in Python one of the world’s most popular languages and the fastest growing among them. Developers often quickly discover that they like Python. They appreciate its expressive power, readability, conciseness and interactivity. They like the world of opensource software development that’s generating a rapidly growing base of reusable software for an enormous range of application areas. For many decades, some powerful trends have been in place. Computer hardware has rapidly been getting faster, cheaper and smaller. Internet bandwidth has rapidly been getting larger and cheaper. And quality computer software has become ever more abundant and essentially free or nearly free through the “open source” movement. Soon, the “Internet of Things” will connect tens of billions of devices of every imaginable type.
These will generate enormous volumes of data at rapidly increasing speeds and quantities. In computing today, the latest innovations are “all about the data” data science, data analytics, big data, relational databases (SQL), and NoSQL and NewSQL databases, each of which we address along with an innovative treatment of Python programming. While using this book, you’ll need an Internet connection to install various additional Python libraries. In some chapters, you’ll register for accounts with cloud based services, mostly to use their free tiers. Some services require credit cards to verify your identity. In a few cases, you’ll use services that are not free. In these cases, you’ll take advantage of monetary credits provided by the vendors so you can try their services without incurring charges. Welcome to Python one of the world’s most widely used computer programming languages and, according to the Popularity of Programming Languages (PYPL) Index, the world’s most popular.
We’ll review object oriented programming terminology and concepts. You’ll learn why Python has become so popular. We’ll introduce the Python Standard Library and various data science libraries that help you avoid “reinventing the wheel.” You’ll use these libraries to create software objects that you’ll interact with to perform significant tasks with modest numbers of instructions. You’ll learn just how big “big data” is and how quickly it’s getting even bigger. Next, we’ll present a bigdata case study on the Waze mobile navigation app, which uses many current technologies to provide dynamic driving directions that get you to your destination as quickly and as safely as possible. As we walk through those technologies, we’ll mention where you’ll use many of them in this book. The chapter closes with our first Intro to Data Science section in which we discuss a key intersection between computer science and data science—artificial intelligence.
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