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When you buy this book you get an electronic version (PDF file) of the interior of this book. You can play the puzzles in this book on your mobile phone! Become a master in solving Sudoku. After solving all the puzzle in this book, you will be a Sudoku Pro. You start with easy Sudoku puzzle and you gradually build your way up to extremely difficult Sudoku puzzle. Once you pick up this book, you won't be able to put it back down. You have been warned! Only 1 large print puzzle per page, with lots of white space for scribbling. Classic Sudoku 9x9 - Medium to Hard is a collection of 276 puzzle: 108 medium Sudoku 9x9 puzzle 108 hard Sudoku 9x9 puzzle 60 extra logic puzzle The goal of Sudoku is to fill in the empty cells, one number in each, so that each column, row, and region contains each number exactly once. I guarantee that every logic puzzle in this Sudoku puzzle book has been carefully checked to ensure that each puzzle has only 1 solution. None of the puzzle in this book will appear in any of the other English PuzzleBooks.net books. Sudoku is also known as Number Place, Nanpure, Su Doku. Quite often Sudoku is misspelled as Suduko, Soduko, Sodoku, Sudoko, Suduku or Soduku.
When you buy this book you get an electronic version (PDF file) of the interior of this book. 120 coloring pages filled with sideviews of fighter airplanes. Perfect for all airplane or aircraft lovers. The book features the following airplane models: AIDC F-CK-1 Ching-Kuo Albatros D.X. Albatros Dr.II Bell P-39 Airacobra Bell P-59 Airacomet Bell RP-63C Boulton Paul Defiant Brewster F2A Buffalo Bristol Beaufighter CAC CA-12 Boomerang Chengdu J-10 Chengdu J-20 Chengdu J-7 Curtiss P-40 Warhawk Dassault MD.450 Ouragan Dassault MD.452 Mystère Dassault MD.454 Mystère IV Dassault Mirage 2000 Dassault Mirage F1 Dassault Rafale Dassault Super Mystère de Havilland DH. 110 Sea Vixen de Havilland Vampire-Venom Dornier Do 335 Douglas A-4 Skyhawk Douglas F3D Skyknight Douglas XA4D-1 Skyhawk English Electric Lightning F.Mk 6 English Electric Lightning Mk 53 Fairchild AU-23 Peacemaker FFVS J 22 Fiat Aeritalia G.91Y Fiat G.50 Freccia Fiat G.91R Folland Gnat General Dynamics F-111 Aardvark General Dynamics F-16 Gloster Gladiator Gloster Javelin Gloster Meteor F.4 Gloster Meteor F.8 Grumman F-9 Cougar Grumman F6F Hellcat Grumman F9F-5 Panther Hawker Hurricane Hawker Sea Hawk Hawker Tempest Heinkel He 100 Heinkel He 112 Heinkel He 162 Volksjäger Heinkel He 219 Uhu IAI Kfir Kawanishi N1K Kyofu Kawasaki Ki-100 Kawasaki Ki-61 Hien LFG Roland D.IX Lockheed Martin F-22 Raptor Lockheed Martin F-35 Lightning II Lockheed P-38 Lightning Macchi C.200 Saetta Macchi C.202 Folgore McDonnell Douglas F-15E Strike Eagle McDonnell Douglas F-4E Phantom II McDonnell Douglas F-4G Wild Weasel V McDonnell Douglas F/A-18 Hornet McDonnell XF-85 Goblin Messerschmitt Bf 109 Messerschmitt Me 262 Schwalbe Messerschmitt Me 410 Hornisse Mikoyan MiG-29 Mikoyan-Gurevich MiG-15 Mikoyan-Gurevich MiG-17 Mikoyan-Gurevich MiG-25/li> Mikoyan-Gurevich MiG-3 Mitsubishi A5M Mitsubishi J2M Raiden Mitsubishi Ki-83 Morane-Saulnier AC Morane-Saulnier AF Morane-Saulnier N Nakajima J1N Nakajima Ki-43 Nakajima Ki-84 Hayate Nieuport 17 North American F-107 Ultra Sabre North American F-82 Twin Mustang North American F-86 Sabre North American FJ-2/-3 Fury North American P-51 Mustang Northrop F-5e Tiger II PAC JF-17 Thunder, CAC FC-1 Xiaolong Pfalz D.III Polikarpov I-15 Polikarpov I-16 PZL P.11 PZL.37 Los Reggiane Re.2000 Falco I Republic F-84 Thunderjet Republic F-84F Thunderstreak Saab 32 Lansen Saab 37 Viggen Shenyang FC-31, J-31, J-35 Sukhoi Su-27 Sukhoi Su-34 Sukhoi Su-7 Supermarine Spitfire Mk XII Supermarine Spitfire V - IX Vought F-8 Crusader Vought F4U Corsair Vought F6U Pirate Vought XF4U-1 Corsair Vought XF8U-3 Crusader III Yakovlev Yak-17 Yakovlev Yak-23 Yakovlev Yak-38 Yakovlev Yak-3 Yokosuka D4Y Suisei Learn more and see our entire collection of coloring books at www.coloringartist.com or contact us at [email protected]. If you enjoy your book, please return to this page and leave a positive review to help us reach more people like you.
This book is aimed at readers who are interested in software development but have very little to no prior experience. The book focuses on teaching the core principles around software development. It uses several technologies to this goal (e.g. C, Python, JavaScript, HTML, etc.) but is not a book about the technologies themselves. The reader will learn the basics (or in some cases more) of various technologies along the way, but the focus is on building a foundation for software development. The book is your guided tour through the programming jungle, aiming to provide some clarity and build the foundation for software development skills. The book web site is https: //progbook.org/
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.
Illustrates the new features of Windows 10.
The author is a true test enthusiast who has spoken to several thousand people about testing. The book is the result from many years of teaching test design with the goal of creating a highly useful testbook. It is full of examples from the real world and contains exercises for most of the techniques described. It can be used as class-material or for self studies. From the forewords: This book focuses on test design, and I am glad it does. Design is the intellectual part of testing. It is the puzzle solving part. (James Bach) In this book Torbjorn Ryber has managed to produce a text that is not only useful, but also concise and to-the-point. dEspite beeing kept to a sensible length it still manages to include guest chapters and material from renowned experts in areas such as exploratory testing and combinatorial testing, and understanding is greatly enhanced by the widespreaduse of examples that clearly demonstrates the application of the techniques. (Stuart Reid)
A comprehensive guide to Python programming for web development using the most popular Python web framework - Django Key FeaturesLearn the fundamentals of programming with Python and building web appsBuild web applications from scratch with DjangoCreate real-world RESTful web services with the latest Django frameworkBook Description If you want to develop complete Python web apps with Django, this Learning Path is for you. It will walk you through Python programming techniques and guide you in implementing them when creating 4 professional Django projects, teaching you how to solve common problems and develop RESTful web services with Django and Python. You will learn how to build a blog application, a social image bookmarking website, an online shop, and an e-learning platform. Learn Web Development with Python will get you started with Python programming techniques, show you how to enhance your applications with AJAX, create RESTful APIs, and set up a production environment for your Django projects. Last but not least, you’ll learn the best practices for creating real-world applications. By the end of this Learning Path, you will have a full understanding of how Django works and how to use it to build web applications from scratch. This Learning Path includes content from the following Packt products: Learn Python Programming by Fabrizio RomanoDjango RESTful Web Services by Gastón C. HillarDjango Design Patterns and Best Practices by Arun RavindranWhat you will learnExplore the fundamentals of Python programming with interactive projectsGrasp essential coding concepts along with the basics of data structures and control flowDevelop RESTful APIs from scratch with Django and the Django REST FrameworkCreate automated tests for RESTful web servicesDebug, test, and profile RESTful web services with Django and the Django REST FrameworkUse Django with other technologies such as Redis and CeleryWho this book is for If you have little experience in coding or Python and want to learn how to build full-fledged web apps, this Learning Path is for you. No prior experience with RESTful web services, Python, or Django is required, but basic Python programming experience is needed to understand the concepts covered.
You need to get value from your software project. You need it "free, now, and perfect." We can't get you there, but we can help you get to "cheaper, sooner, and better." This book leads you from the desire for value down to the specific activities that help good Agile projects deliver better software sooner, and at a lower cost. Using simple sketches and a few words, the author invites you to follow his path of learning and understanding from a half century of software development and from his engagement with Agile methods from their very beginning. The book describes software development, starting from our natural desire to get something of value. Each topic is described with a picture and a few paragraphs. You're invited to think about each topic; to take it in. You'll think about how each step into the process leads to the next. You'll begin to see why Agile methods ask for what they do, and you'll learn why a shallow implementation of Agile can lead to only limited improvement. This is not a detailed map, nor a step-by-step set of instructions for building the perfect project. There is no map or instructions that will do that for you. You need to build your own project, making it a bit more perfect every day. To do that effectively, you need to build up an understanding of the whole process. This book points out the milestones on your journey of understanding the nature of software development done well. It takes you to a location, describes it briefly, and leaves you to explore and fill in your own understanding. What You Need: You'll need your Standard Issue Brain, a bit of curiosity, and a desire to build your own understanding rather than have someone else's detailed ideas poured into your head.
The papers in this volume are the refereed technical papers presented at AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2008. They present new and innovative developments in the field, divided into sections on CBR and Classification, AI Techniques, Argumentation and Negotiation, Intelligent Systems, From Machine Learning To E-Learning and Decision Making. The volume also includes the text of short papers presented as posters at the conference. This is the twenty-fifth volume in the Research and Development series. The series is essential reading for those who wish to keep up to date with developments in this important field. The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems XVI.
Get a hands-on introduction to machine learning with genetic algorithms using Python. Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work for you, using easy-to-follow example projects that you can fall back upon when learning to use other machine learning tools and techniques. The step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise. Python is a high-level, low ceremony and powerful language whose code can be easily understood even by entry-level programmers. If you have experience with another programming language then you should have no difficulty learning Python by induction. Souce code: https: //github.com/handcraftsman/GeneticAlgorithmsWithPython