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 Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner, 9781718500686 (1718500688), No Starch Press, 2021 Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language. Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares. You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers. You'll also learn how to:   •  Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees   •  Measure the efficiency and speed of algorithms   •  Generate Voronoi diagrams for use in various geometric applications   •  Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles   •  Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions   •  Use simulated annealing to perform global optimization   •  Build a decision tree to predict happiness based on a person's characteristics Once you've finished this book you'll understand how to code and implement important algorithms as well as how to measure and optimize their performance, all while learning the nitty-gritty details of today's most powerful algorithms.
How to Build Android Apps with Kotlin: A hands-on guide to developing, testing, and publishing your first apps with Android

Master the fundamentals of Android programming and apply your skills to create scalable and reliable apps using industry best practices

Key Features

• Build apps with Kotlin, Google's preferred programming language for Android development
• Unlock solutions to development...
Ghidra Software Reverse Engineering for Beginners: Analyze, identify, and avoid malicious code and potential threats in your networks and systems

Detect potentials bugs in your code or program and develop your own tools using the Ghidra reverse engineering framework developed by the NSA project

Key Features

• Make the most of Ghidra on different platforms such as Linux, Windows, and macOS
• Leverage a variety of...
Simply Quantum Physics
A clear, simple, graphic-led introduction to quantum physics.

Are you short of time but hungry for knowledge? This beginner’s quantum physics book proves that sometimes less is more. Bold graphics and easy-to-understand explanations make it the most accessible guide to quantum physics on the market.
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 UNDERSTANDING STATISTICS This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in detail and... Python All-in-One For Dummies The one-stop resource for all your Python queries Powerful and flexible, Python is one of the most popular programming languages in the world. It's got all the right stuff for the software driving the cutting-edge of the development world?machine learning, robotics, artificial intelligence, data science, etc.... Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...