Python in a Nutshell

A heartwarming, educational picture book that allows parents to tell their kids how much they love them while also teaching them interesting facts about the world.';I love you.'';I love you more.'Almost every parent and child play this game of who loves who the most. Wall decorations say: ';I Love You More' and even movies have characters who join in with this debate. This book will help children understand once and for all how much they are lovedfrom hereto the sun and beyond.How much you love someone isn't easy to quantify, but I Love You to the Sun and Beyondis here to tell your children just how much you love them through more than twenty wonderful and wacky analogies. From python hugs to Nikola Tesla to the Mariana Trench, your little reader will learn all about the world and the amazing things in it while also learning the most important thing of all: how much you care.

From raucous stormy seas to a welcomingly vivid rainbow, weather’s most exciting moments come to brilliant life in this fantastic new pop-up book.In her hugely successful books Creatures of the Deep and What’s in the Egg, as well as her enormously popular series of greeting cards for the Museum of Modern Art, Maike Biederstaedt has established herself as one of the preeminent paper artists working today. Now Biederstaedt takes book engineering to new heights as she immerses readers in five electrifying weather scenarios. As each spread unfolds, a meticulously designed landscape emerges–a freighter balances like a nutshell between high waves in the sea; a tornado takes terrifying aim at a truck trying to outrun it; a rain-spewing storm cloud towers like a skyscraper over a farm house. Nature’s delicate beauty emerges in the intricate shapes of a snowflake and in the luminous arc of a rainbow. Each page features an informative description of its weather event and the book closes with sob

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examplesA new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a

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

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.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

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.

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options f

Use Traefik as a load balancer or a reverse proxy for microservices-based architecture. This book covers Traefik integration for microservices architecture concerns such as service discovery, telemetr