You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online.As you work through Python Crash Course, you'll learn how to: Use powerful Python libraries and tools, including matplotlib, NumPy, and PygalMake 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progressesWork with data to generate interactive visualizationsCreate and customize simple web apps and deploy them safely onlineDeal with mistakes and errors so you can solve your own programming problemsIf you've been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!

    This book uses the common sense of these roads and weaves it into the implementation of an attractive app. You will build a Hacker News React app. On the road you will learn ES6, React with all its basics and advanced concepts and internal state management.' to 'A lot of roadmaps exist on how to master React. This book uses the common sense of these roads and weaves it into the implementation of an attractive app. You will build a Hacker News React app. On the road you will learn ES6, React with all its basics and advanced concepts and internal state management. http://www.robinwieruch.de/the-road-t...

    This introduction is ideal for beginners: it requires no previous programming experience and all concepts are explained from first principles via carefully chosen examples. Each chapter includes exercises that range from the straightforward to extended projects, plus suggestions for further reading on more advanced topics. The author is a leading Haskell researcher and instructor, well-known for his teaching skills. The presentation is clear and simple, and benefits from having been refined and class-tested over several years. The result is a text that can be used with courses, or for self-learning. Features include freely accessible Powerpoint slides for each chapter, solutions to exercises and examination questions (with solutions) available to instructors, and a downloadable code that's fully compliant with the latest Haskell release.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    Book One lays out indisputable evidence the brain does not create your consciousness, and that when your body dies, your consciousness will be released into a mental realm. It explains what you can expect to experience during the first minutes until you come to a border near death survivors agree is a point of no return. Book Two will lead you past that border to explore that Shakespeare called, “The undiscovered country,” a mental realm each individual creates for him or herself. It also makes suggestions about actions to take now to insure the best possible outcome after death. Read what reviewers had to say about Book I: “Extraordinary findings in Stephen Martin’s newest book, Life After Death, Powerful Evidence You Will Never Die, will keep readers on the edge of their seats as they burn through this well written book’s pages. . . .” — Mark Davis, M.D. “If you only read one book about the afterlife, I highly recommend this one. It’s an extensive research project and is quite understandable for the average reader. . . .” — Alan Halverson “I couldn't put this book down. I'm 34 years old with no major health issues and have been recently dealing with a lot of anxiety over death. . . .” — Nicole Ryan “This is one of the most powerful books on this subject that I have ever read. Very inspiring.” — C. Ann Clarkon “Very accessible and well-written overview of recent research supporting evidence of consciousness existing independent of the brain; as well as its implications for survival of awareness after physical death. . . .” — Keith Park, Ph.D.

    In eight chapters, it provides the most thorough coverage of TCP available. It also covers the newest TCP/IP features, including multicasting, path MTU discovery and long fat pipes. The author describes various protocols, including ARP, ICMP and UDP. He utilizes network diagnostic tools to actually show the protocols in action. He also explains how to avoid silly window syndrome (SWS) by using numerous helpful diagrams. This book gives you a broader understanding of concepts like connection establishment, timeout, retransmission and fragmentation. It is ideal for anyone wanting to gain a greater understanding of how the TCP/IP protocols work.

    It is suitable for both A Level and HE philosophy students. historical context; a section by section guide to Existentialism and Humanism including key quotes; tasks and activities to help you understand and evaluate Sartre's philosophy; and a critical analysis of the philosophical implications of Sartre's ideas. It also offers summaries of key points needed for exam questions about Sartre and existentialism plus an extensive glossary of key words and ideas focused coverage of AS and A2 Philosophy

    It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although I use Python as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, I have purposely avoided certain Python features and idioms that are not generally found in other languages. There are already many good books about Python on the market; this book is intended as an introduction to computing. Features include the following: *Extensive use of computer graphics. *Interesting examples. *Readable prose. *Flexible spiral coverage. *Just-in-time object coverage. *Extensive end-of-chapter problems.

    It explains why low-quality software is continually distributed, why consumers willingly purchase unreliable software, why governments leave the industry alone, and what can be done to improve matters.

    Shows how any proof can be understood as a sequence of techniques. Covers the full range of techniques used in proofs, such as the contrapositive, induction, and proof by contradiction. Explains how to identify which techniques are used and how they are applied in the specific problem. Illustrates how to read written proofs with many step-by-step examples. Includes new, expanded appendices related to discrete mathematics, linear algebra, modern algebra and real analysis.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Purchase includes a free trial membership in the publisher's book club where you can select from more than a million books without charge. Chapters: The Bean Trees, Pigs in Heaven, the Poisonwood Bible, Animal Dreams, Prodigal Summer. Source: Wikipedia. Free updates online. Not illustrated. Excerpt: The Bean Trees, first published in 1988, is the first book written by Barbara Kingsolver, followed by a sequel Pigs in Heaven. The protagonist of the novel, Taylor Greer, a native of Kentucky, finds herself in Oklahoma near Cherokee territory. The novel begins with a woman leaving a Cherokee infant with Taylor. The remainder of the novel traces the experiences of Taylor and the child, whom Taylor has named Turtle. Covering Turtle's early childhood, the story includes a colorful cast of characters, including a Guatemalan couple and Mattie, the owner of Jesus Is Lord Used Tires. The novel also makes reference to the issue of Native American parental rights. The Bean Trees opens in rural Kentucky. Taylor goes on to tell the story of how she is scared of tires. Taylor was the one to escape small-town life. She did so by avoiding pregnancy, getting a job working at the hospital, and saving up enough money to buy herself an old Volkswagen bug. About five years after high school graduation, she decides to go on a journey to see what life has to offer her. Her car breaks down in the middle of the Cherokee Nation in Oklahoma. As she sits in her car, getting ready to leave, a woman approaches and puts a baby in the front seat of Taylors car, telling her to take it. She tells Taylor she is the sister of the childs mother and that the baby was born in a Plymouth car. The woman leaves with no further explanation. Taylor is bewildered, but drives off with the child. They go to a hotel, and while bathing the baby, Taylor discovers that the baby, a girl, has been abused and sexually molested. She names the baby Tur...More: http: //booksllc.net/?id=138820

    Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. "Introduction to Machine Learning" is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning, Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning.

    These themes include mathematical reasoning, combinatorial analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the relevance and practicality of discrete mathematics to all students. The Fifth Edition includes a more thorough and linear presentation of logic, proof types and proof writing, and mathematical reasoning. This enhanced coverage will provide students with a solid understanding of the material as it relates to their immediate field of study and other relevant subjects. The inclusion of applications and examples to key topics has been significantly addressed to add clarity to every subject. True to the Fourth Edition, the text-specific web site supplements the subject matter in meaningful ways, offering additional material for students and instructors. Discrete math is an active subject with new discoveries made every year. The continual growth and updates to the web site reflect the active nature of the topics being discussed. The book is appropriate for a one- or two-term introductory discrete mathematics course to be taken by students in a wide variety of majors, including computer science, mathematics, and engineering. College Algebra is the only explicit prerequisite.

    This work represents the views of a mathematician on the analogies between computing machines and the living human brain.