Python

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for grad

This third edition provides a concise yet approachable introduction to seismic theory, designed as a first course for graduate students or advanced undergraduate students. It clearly explains the fundamental concepts, emphasizing intuitive understanding over lengthy derivations, and outlines the different types of seismic waves and how they can be used to resolve Earth structure and understand earthquakes. New material and updates have been added throughout, including ambient noise methods, shear-wave splitting, back-projection, migration and velocity analysis in reflection seismology, earthquake rupture directivity, and fault weakening mechanisms. A wealth of both reworked and new examples, review questions and computer-based exercises in MATLAB®/Python give students the opportunity to apply the techniques they have learned to compute results of interest and to illustrate Earth's seismic properties. More advanced sections, which are not needed to understand the other material, are fla

This third edition provides a concise yet approachable introduction to seismic theory, designed as a first course for graduate students or advanced undergraduate students. It clearly explains the fundamental concepts, emphasizing intuitive understanding over lengthy derivations, and outlines the different types of seismic waves and how they can be used to resolve Earth structure and understand earthquakes. New material and updates have been added throughout, including ambient noise methods, shear-wave splitting, back-projection, migration and velocity analysis in reflection seismology, earthquake rupture directivity, and fault weakening mechanisms. A wealth of both reworked and new examples, review questions and computer-based exercises in MATLAB®/Python give students the opportunity to apply the techniques they have learned to compute results of interest and to illustrate Earth's seismic properties. More advanced sections, which are not needed to understand the other material, are fla

The Earth and environmental sciences are becoming progressively more quantitative due to the increased use of mathematical models and new data analysis techniques. This accessible introduction presents an overview of the mathematical methods essential for understanding Earth processes, providing an invaluable resource for students and early career researchers who may have missed (or forgotten) the mathematics they need to succeed as scientists. Topics build gently from basic methods such as calculus to more advanced techniques including linear algebra and differential equations. The practical applications of the mathematical methods to a variety of topics are discussed, ranging from atmospheric science and oceanography to biogeochemistry and geophysics. Including over 530 exercises and end-of-chapter problems, as well as additional computer codes in Python and MATLAB®, this book supports readers in applying appropriate analytical or computational methods to solving real research questi

A complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in relevant financial contexts. Maintaining the accessible prose and clear examples of previous editions, the new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python so

Molecular simulation is a powerful tool in materials science, physics, chemistry and biomolecular fields. This updated edition provides a pragmatic introduction to a wide range of techniques for the simulation of molecular systems at the atomic level. The first part concentrates on methods for calculating the potential energy of a molecular system, with new chapters on quantum chemical, molecular mechanical and hybrid potential techniques. The second part describes methods examining conformational, dynamical and thermodynamical properties of systems, covering techniques including geometry-optimization, normal-mode analysis, molecular dynamics, and Monte Carlo simulation. Using Python, the second edition includes numerous examples and program modules for each simulation technique, allowing the reader to perform the calculations and appreciate the inherent difficulties involved in each. This is a valuable resource for researchers and graduate students wanting to know how to use atomic-sc

The simulation of physical systems requires a simplified, hierarchical approach which models each level from the atomistic to the macroscopic scale. From quantum mechanics to fluid dynamics, this book systematically treats the broad scope of computer modeling and simulations, describing the fundamental theory behind each level of approximation. Berendsen evaluates each stage in relation to its applications giving the reader insight into the possibilities and limitations of the models. Practical guidance for applications and sample programs in Python are provided. With a strong emphasis on molecular models in chemistry and biochemistry, this 2007 book will be suitable for advanced undergraduate and graduate courses on molecular modeling and simulation within physics, biophysics, physical chemistry and materials science. It will also be a useful reference to all those working in the field. Additional resources for this title including solutions for instructors and programs are available

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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

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 . . .

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

Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or usin

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making i

Optical interferometry is a powerful technique to make images on angular scales hundreds of times smaller than is possible with the largest telescopes. This concise guide provides an introduction to the technique for graduate students and researchers who want to make interferometric observations and acts as a reference for technologists building new instruments. Starting from the principles of interference, the author covers the core concepts of interferometry, showing how the effects of the Earth's atmosphere can be overcome using closure phase, and the complete process of making an observation, from planning to image reconstruction. This rigorous approach emphasizes the use of rules-of-thumb for important parameters such as the signal-to-noise ratios, requirements for sampling the Fourier plane and predicting image quality. The handbook is supported by web resources, including the Python source code used to make many of the graphs, as well as an interferometry simulation framework, a

Non-literal language is ubiquitous in everyday life, and while hyperbole is a major part of this, it has so far remained relatively unexplored. This volume provides the first investigation of hyperbole in English, drawing on data from genres such as spoken conversation, TV, newspapers, and literary works from Chaucer to Monty Python. Combining quantitative and qualitative analyses, it uses approaches from semantics, pragmatics, discourse analysis and classical rhetoric to investigate in detail both speaker-centered and emotive aspects of hyperbole, and also addressee-related aspects, such as interpretation and interactional uptake. Illustrated with a range of diachronic case studies, hyperbole is also shown to be a main means of linguistic creativity, and an important contributor to language change. The book concludes with an exploration of the role of hyperbole in political speaking, humour, and literature. Original and in-depth, it will be invaluable to all those working on meaning,

Non-literal language is ubiquitous in everyday life, and while hyperbole is a major part of this, it has so far remained relatively unexplored. This volume provides the first investigation of hyperbole in English, drawing on data from genres such as spoken conversation, TV, newspapers, and literary works from Chaucer to Monty Python. Combining quantitative and qualitative analyses, it uses approaches from semantics, pragmatics, discourse analysis and classical rhetoric to investigate in detail both speaker-centered and emotive aspects of hyperbole, and also addressee-related aspects, such as interpretation and interactional uptake. Illustrated with a range of diachronic case studies, hyperbole is also shown to be a main means of linguistic creativity, and an important contributor to language change. The book concludes with an exploration of the role of hyperbole in political speaking, humour, and literature. Original and in-depth, it will be invaluable to all those working on meaning,

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.

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

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.

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

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.

This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process to help improve results by modifying the data's features to better capture the nature of the problem. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks.

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

At last, the breathtaking, action-packed finale of the #1 best-selling Trials of Apollo series is in paperback! The Tower of Nero is the quintessential cherry on top of 'The Trials of Apollo' sundae series.--Laughing Place.com Will the Greek god Apollo, cast down to earth in the pathetic mortal form of a teenager named Lester Papadopoulos, finally regain his place on Mount Olympus? Lester's demigod friends at Camp Jupiter just helped him survive attacks from bloodthirsty ghouls, an evil Roman king and his army of the undead, and the lethal emperors Caligula and Commodus. Now the former god and his demigod master Meg must follow a prophecy uncovered by Ella the harpy. Lester's final challenge will be at the Tower of Nero, back in New York. Will Meg have a last showdown with her father? Will this helpless form of Apollo have to face his arch nemesis, Python? Who will be on hand at Camp Half-Blood to assist? In the fifth and final installment of Rick Riordan's best-selling series, the end

The legendary comedian, actor, and writer of Monty Python, Fawlty Towers, and A Fish Called Wanda fame shares his key ideas about creativity: that it’s a learnable, improvable skill.“Many people have written about creativity, but although they were very, very clever, they weren't actually creative. I like to think I'm writing about it from the inside.”—John Cleese You might think that creativity is some mysterious, rare gift—one that only a few possess. But you’d be wrong. As John Cleese shows in this short, practical, and often amusing guide, creativity is a skill that anyone can acquire. Drawing on his lifelong experience as a writer, Cleese shares his insights into the nature of creativity and offers advice on how to get your own inventive juices flowing. What do you need to do to get yourself in the right frame of mind? When do you know that you’ve come up with an idea that might be worth pursuing? What should you do if you think you’ve hit a brick wall? We can all

Renowned for their courage, their chivalry, and their ability to fight mythical creatures, the Knights of the Round Table must face their most dangerous opponents yet—DINOSAURS!This heavily illustrated middle grade novel from award-winning author and artist Matt Phelan is a hilarious, rip-roaring tale of derring-do perfect for reluctant readers and fans of How to Train Your Dragon and The Terrible Two. Let me tell you a secret about the Knights of the Round Table: they don’t have much to do. The realm is at peace and dragons are few and far between. So Merlin decides to send the knights out on a real adventure to a world filled with the most terrible lizards of all: DINOSAURS! Knights vs. Dinosaurs is a highly illustrated, fast-paced adventure full of uproarious knightly hijinks, surprising secrets, and terrifying dinosaurs. With art on nearly every page, including an epic fight scene depicted in several graphic-novel style spreads, this engaging story is Monty Python for young middle

Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In a