Python

They've been our closest ally for more than a century. They've brought us Shakespeare, the Beatles, Monty Python, Winston Churchill, and the Jaguar E-Type. But what do we really think of our former co

Duck, ruburb, tower farm, big box, and pig-in-a-python are among the dozens of zany terms invented by real estate developers and designers today to characterize land-use practices and the physical ele

Tourists to Ouidah, a city on the coast of the Republic of Bénin, in West Africa, typically visit a few well-known sites of significance to the Vodún religion—the Python Temple, where Dangbé, the pyth

This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language

Mike Myers thinks he was "a genius", while John Cleese regards him as "a true cultural icon". He was an architect of British comedy, paving the way for Monty Python, and then became a major Hollywood

Mike Myers thinks he was “a genius”, while John Cleese regards him as “a true cultural icon”. He was an architect of British comedy, paving the way for Monty Python, and then became a major Hollywood

From python hunting to Swami Keerti’s laughing meditation, from a death in the family to a burial on the rural acres where he’s stood his ground for a decade, Gaylord Brewer extends and explodes his c

The adventures of Mowgli, the young man raised by wolves in the jungles of Central India, and his friends Baloo the bear, Bagheera the panther and Kaa the python, as they face the arch villain Shere K

The adventures of Mowgli, the young man raised by wolves in the jungles of Central India, and his friends Baloo the bear, Bagheera the panther and Kaa the python, as they face the arch villain Shere K

The seeds of irreverent humour that inspired the likes of The Wayne and Shuster Hour and Monty Python were sown in the trenches of the First World War, and The Dumbells—concert parties made up of figh

Pythons are among the biggest snakes in the world. In fact, one type of python is the only snake known to eat a human! Learn more about these fearsome hunters, including where they live, how they hunt

Curious George can’t wait to ride the Turbo Python 3000 with his friends Betsy and Steve at the amusement park. But he is not tall enough! Will George figure out how to ride the roller coaster before

A mosquito annoyed the iguana, who frightened the python, who scared the rabbit?and now the whole jungle is in an uproar because the sun won?t rise. The animals discuss the situation and decide to pun

The Monty Python comedian and author of Hemingway's Chair presents the story of an everyday man at a crossroads in life who accepts an offer to travel to India as part of an effort to pen the biograph

"Do not go near the edge of Night Sky," warns Moon, "or you will fall off." Does Little Star listen? Of course not! He falls down, down, down, SPLASH - right into a creek. When he asks Python to help

On a school trip to the zoo, Max becomes a slippery customer?when he transforms into a python. And when Professor Slynk gets him in his clutches it becomes a race against time for Max to wriggle out a

William Woodruff had the sort of childhood satirized in the famous Monty Python Yorkshireman sketch. The son of a weaver, he was born on a pallet of straw at the back of the mill and two days later h

When Python challenges all who would eat from a magical fruit tree to tell him the tree's name, they all run off to the King of the Jungle to get the answer, but then forget it on their way back, unti

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

Do you already know Python and love using this programming language to create stunning projects? Are you looking to increase your programming skills and stay up to date with the latest languages and trends?Then you've probably been wanting to learn Raspberry Pi 4.Now you can!This comprehensive step-by-step guide will teach you everything you need to know about installing, programming, and learning Raspberry Pi 4.With detailed instructions, tips, tricks, and a full index for you to refer back to, every programmer who desires to learn Raspberry Pi 4 must have this book by their computers.With this book in your hands, you will: Learn step-by-step how to install Raspbian and set up Raspberry Pi 4 to create stunning programs and automationReplace your PC with Raspberry Pi 4 so your computer is completely customizable how you like itBecome a better programmer with Python and practice your coding skills with the steps contained in this bookCreate incredible projects and programs with Raspberr

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de

Master the usage of s-parameters in signal integrity applications and gain full understanding of your simulation and measurement environment with this rigorous and practical guide. Solve specific signal integrity problems including calculation of the s-parameters of a network, linear simulation of circuits, de-embedding, and virtual probing, all with expert guidance. Learn about the interconnectedness of s-parameters, frequency responses, filters, and waveforms. This invaluable resource for signal integrity engineers is supplemented with the open-source software SignalIntegrity, a Python package for scripting solutions to signal integrity problems.

All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

This book provides an introduction to Bluetooth programming, with a specific focus on developing real code. The authors discuss the major concepts and techniques involved in Bluetooth programming, with special emphasis on how they relate to other networking technologies. They provide specific descriptions and examples for creating applications in a number of programming languages and environments including Python, C, Java, GNU/Linux, Windows XP, Symbian Series 60, and Mac OS X. No previous experience with Bluetooth is assumed, and the material is suitable for anyone with some programming background. The authors place special emphasis on the essential concepts and techniques of Bluetooth programming, starting simply and allowing the reader to quickly master the basic concepts before addressing advanced features.

Streaming now on Amazon Prime!A clever and hilarious fantasy retelling of the rise to power of Lady Jane Grey, now an Amazon Prime Video series starring Emily Bader, Edward Bluemel and Jordan PetersA comical, fantastical and witty re-imagining of the Tudor world, perfect for fans of The Princess Bride. Lady Jane Grey, sixteen, is about to be married to a total stranger – and caught up in an insidious plot to rob her cousin, King Edward, of his throne. But that’s the least of Jane’s problems. She’s also about to become Queen of England. Like that could go wrong.“The Tudors meets Monty Python. Prepare to laugh and gasp and clutch your pearls.” Tahereh Mafi, New York Times bestselling author

Nominated for the 2021 Norwegian Ministry of Culture Picture Book PrizeNominated for the 2021 Norwegian Book Prize (Brage Prize)It's time for bed, but little Bo isn't ready to stop playing quite yet! As his mother gamely guides him through his nighttime routine, he imitates various animals--a hibernating bear after eating a snack, a snuggling sea otter when taking a bath, a coiled python while curling up under the covers... Mommy joins in on the fun and keeps one step ahead of Bo until he falls asleep, soaring like a bird into the world of dreams. A lively and imaginative take on getting ready for bed that celebrates creative family play and the joyous love between mother and son.

The ultimate box set for fans of Jerry Pallotta and Rob Bolster's bestselling Who Would Win series!Which dangerous animals would win in a fight? Find out in this amazing box set, which includes 10 books in the bestselling Who Would Win? series, including: Alligator vs. Python; Green Ants vs. Army Ants; Hyena vs. Honey Badger;Triceratops vs. Spinosaurus;Rhino vs. Hippo; Lobster vs. Crab; Rattlesnake vs. Secretary Bird; Jaguar vs. Skunk; Falcon vs. Hawk; and Wolverine vs. Tasmanian Devil.Kids will learn all about each animal's anatomy, behavior, and more alongside photos, charts, illustrations, and amazing facts. This collection features a range of mammals, birds, sea creatures, reptiles, and dinosaurs to satisfy all kinds of animal fans, and is the perfect gift!

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.

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

Learning to program isn't just learning the details of a programming language: to become a good programmer you have to become expert at debugging, testing, writing clear code and generally unsticking yourself when you get stuck, while to do well in a programming course you have to learn to score highly in coursework and exams. Featuring tips, stories and explanations of key terms, this book teaches these skills explicitly. Examples in Python, Java and Haskell are included, helping you to gain transferable programming skills whichever language you are learning. Intended for students in Higher or Further Education studying early programming courses, it will help you succeed in, and get the most out of, your course, and support you in developing the software engineering habits that lead to good programs.

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

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.

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

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras in several projects.Explains the fundamentals of Artificial Neural Networks (ANNs).Presents several examples and applications of ANNs.Learning the most popular DL algorithms features.Explains and provides examples for the DL algorithms that are presented in this book.Analyzes the DL network's parameter and hyperparameters.Reviews state-of-the-art DL examples.Necessary and main steps for DL modeling.Implements a Virtual Assistant Robot (VAR) using DL methods.Necessary and fundamental information to choose a proper DL algorithm.Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry

Thoroughly updated with improved pedagogy, the fifth edition of this classic textbook continues to provide students with a clear and comprehensive introduction the fundamentals of the finite element method. New features include enhanced coverage of introductory topics in the context of simple 1D problems, providing students with a solid base from which to advance to 2D and 3D problems; expanded coverage of more advanced concepts, to reinforce students' understanding; over 30 additional solved problems; and downloadable MATLAB, Python, C, Javascript, Fortran and Excel VBA code packages, providing students with hands-on experience, and preparing them for commercial software. Accompanied by online solutions for instructors, this is the definitive text for senior undergraduate and graduate students studying a first course in the finite element method and finite element analysis, and for professional engineers keen to shore up their understanding of finite element fundamentals.

Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: a new chapter on singular values and singular vectors, including ways to analyze a matrix of data; a revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages; a new section on linear algebra and cryptography; and a new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python.

Numerical relativity has emerged as the key tool to model gravitational waves - recently detected for the first time - that are emitted when black holes or neutron stars collide. This book provides a pedagogical, accessible, and concise introduction to the subject. Relying heavily on analogies with Newtonian gravity, scalar fields and electromagnetic fields, it introduces key concepts of numerical relativity in a context familiar to readers without prior expertise in general relativity. Readers can explore these concepts by working through numerous exercises, and can see them 'in action' by experimenting with the accompanying Python sample codes, and so develop familiarity with many techniques commonly employed by publicly available numerical relativity codes. This is an attractive, student-friendly resource for short courses on numerical relativity, as well as providing supplementary reading for courses on general relativity and computational physics.

Numerical relativity has emerged as the key tool to model gravitational waves - recently detected for the first time - that are emitted when black holes or neutron stars collide. This book provides a pedagogical, accessible, and concise introduction to the subject. Relying heavily on analogies with Newtonian gravity, scalar fields and electromagnetic fields, it introduces key concepts of numerical relativity in a context familiar to readers without prior expertise in general relativity. Readers can explore these concepts by working through numerous exercises, and can see them 'in action' by experimenting with the accompanying Python sample codes, and so develop familiarity with many techniques commonly employed by publicly available numerical relativity codes. This is an attractive, student-friendly resource for short courses on numerical relativity, as well as providing supplementary reading for courses on general relativity and computational physics.