Python

This book offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects.

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

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Behind the scenes, stories, jokes and analysis of all the Monkey Island games, including many interviews of the creators. LucasArts has become a legendary developer in part because of The Secret of Monkey Island, which was created here in 1990. The Secret of Monkey Island, the world's most famous point-and-click adventure game, owes its reputation to its world of colourful, delightfully anachronistic pirates, to its Monty Python humour, but also, quite simply, to the fact that it revolutionised a genre. This book is a tribute to the adventures of Guybrush Threepwood, the great pirate. But it also aims to explain why Monkey Island represents a decisive step forward in the way a story can be told through a video game. It will also look back at the turbulent history of LucasArts and Telltale Games, discover a few recipes for voodoo toddy, learn interactive pirate reggae songs, shine at a social gathering of forty-something geeks and discover lines as sharp as a boarding sword (useful for

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

See deadly animals at their actual size in this new illustrated non-fiction adventure for children aged 3+WINNER! 2024 English 4–11 Picture Book Awards – Non-fiction 4–7WINNER! BEST NON-FICTION BOOK – Made For Mums Toy AwardsShortlisted for The Week Junior Book Awards – Children’s Book Cover of the YearLet's go on a LIFESIZE adventure!Step into the book and see how you measure up against some of the world's most amazing DEADLY animals. Watch out for the LIFESIZE black caiman jaws, burmese python, slow loris and much more!This interactive non-fiction adventure features LIFESIZE illustrations of some of world’s smallest and largest deadly animals and invites children to think about how they compare with these amazing creatures.This huge, playful book is the perfect introduction to animals for young children from picture book star, Sophy Henn.Climb into the book for a truly wild adventure . . .

Lift the flaps for a gentle introduction to the food chain―perfect for the preschool set!The sun shines on the jungle.Plants grow, reaching for the sun.Welcome to the jungle! Take a look at some animals who live there and discover how they depend on one another. Beetles munch on leaves, and spiders pounce on them in turn. Frogs lay in wait for the spiders, and an argus pheasant waits for a frog to leap. And so it continues, with a peek at some bearded pigs and a not-too-scary python. But what do you think the biggest animal of all will eat? With bold and friendly illustrations, a simple text, and fun interactive flaps, Michael Slack takes little readers right up the food chain and back around for a final twist.

About Broadcasting BritainExplore 10 years of British History through key broadcasting moments illuminated by images from the BBC archive.Created 100 years ago, on 18 October 1922, the BBC transformed people's lives at the turn of a dial, bringing voices out of the ether and conjuring the magic community of radio. Now, our lives are inextricably linked to broadcasting. It is how we remember where we come from and who we are - from the Moon Landing to the 9/11 attacks, from Monty Python to EastEnders, from Live Aid to London 2012.Head of BBC History Robert Seatter charts the story of a broadcaster and a nation, reflecting the story of all our lives across ten tumultuous decades. Broadcasting Britain: 100 years of the BBC is a vivid, thought-provoking and, most of all, entertaining celebration of a global cultural icon.Discover the BBC's central role in reflecting our ever-changing world:- Concise, essay-style text gets to the heart of each carefully chosen topic- Organized chronological

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Functional and concurrent programming paradigms can help experienced object-oriented developers write high-quality software faster: code that's easier to understand, debug, optimize, and evolve. But these approaches have often been surrounded by mystification and misconceptions, leading many developers to avoid them. In Functional and Concurrent Programming, Michel Charpentier clears away the confusion, showing how to use these features safely and well, so you can gain their benefits without their pitfalls. Writing for developers with some object-oriented experience in Java, C++, C#, Python, or elsewhere, Charpentier teaches key concepts through the use of realistic, modern examples: code written in Scala, but relevant to users of any modern object-oriented language. As a hybrid language, Scala can be used effectively to illustrate both object-oriented and functional programming; it offers advanced features for concurrency; and it interoperates with Java, and can use many components of

This best-selling introductory chemical engineering guide has been thoroughly revised, streamlined, and updated to reflect today's sweeping changes in chemical engineering curricula. It contains extensive new coverage and examples related to biotechnology, nanotechnology, green/environmental engineering, and process safety, as well as many new MATLAB and Python problems throughout. Like previous editions, Basic Principles and Calculations in Chemical Engineering, 9th Edition offers a strong foundation of skills and knowledge for successful study and practice, guiding students through formulating and solving material and energy balance problems, as well as describing gases, liquids, and vapors. Throughout, it introduces efficient, consistent, student-friendly methods for solving problems, analyzing data, and gaining a conceptual, application-based understanding of modern chemical engineering processes. Coverage in previous editions has been condensed and streamlined to serve today's stu