Pop Them In Python
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The State You're In
Author: Craig Pittman
language: en
Publisher: University Press of Florida
Release Date: 2021-08-09
Jump into the wacky, wild world of Florida For more than 30 years, investigative journalist and New York Times bestselling author Craig Pittman has chronicled the wildest stories Florida has to offer. Featuring a selection of columns that have appeared in the Tampa Bay Times and other outlets throughout Pittman’s career, this book highlights just how strange and wonderful Florida can be. With a folksy style, an eye for the absurd, and a passion for the history and environment of his home state, Pittman describes some of Florida’s oddest wildlife as well as its quirkiest people. The State You’re In includes a love story involving the most tattooed woman in the world, a deep dive into the state’s professional mermaid industry, and an investigation of a battle between residents of a nudist resort and the U.S. Postal Service. Pittman introduces readers to a who’s who of Florida crime fiction, a what’s what of exotic animals, and an array of beloved places he’s seen change rapidly in his lifetime. Many of these stories are funny, some are serious, and several offer rare insights into the heart of the Sunshine State. For Pittman, Florida is both inspiring and dangerous—an “evolutionary test” for those who live in it. Together these pieces paint a complex picture of a fascinating state longing for an identity beyond palm trees and punchlines.
Hands-On Artificial Intelligence for Search
Author: Devangini Patel
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-08-30
Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book DescriptionWith the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take.What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.
Exercises in Programming Style
The first edition of Exercises in Programming Style was honored as an ACM Notable Book and praised as "The best programming book of the decade." This new edition retains the same presentation but has been upgraded to Python 3, and there is a new section on neural network styles. Using a simple computational task (term frequency) to illustrate different programming styles, Exercises in Programming Style helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The book can also be used in advanced programming courses in computer science and software engineering programs. The book contains 40 different styles for writing the term frequency task. The styles are grouped into ten categories: historical, basic, function composition, objects and object interactions, reflection and metaprogramming, adversity, data-centric, concurrency, interactivity, and neural networks. The author states the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style, next shows an example program, and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged.