America's Test Kitchen

Paperback (1 to 2 lbs)

Colorado

650 Recipes for Everything You'll Ever Want to Make

650 Recipes for EVERYTHING You'll Ever Want to Make. Because smaller families shouldn't have to rely on recipes built for four or six, America's Test Kitchen has reengineered 650 of our best recipes to serve just two. Over the years we've discovered that scaling down a recipe isn't as simple as cutting the ingredients in half—cooking times, temperatures, and equipment need to be adapted as well. This comprehensive cookbook takes the guesswork out of cooking for two so you can be sure that anything you want to make—from Classic Beef Stew to Lasagna to a mini batch of Fudgy Brownies or a Fluffy Yellow Layer Cake—will come out right (and perfectly proportioned) every time. We'll also give you options when you're short on time. 150 recipes, including Chicken Saltimbocca and Pan-Seared Rib-Eye Steaks with Sweet-Tart Red Wine Sauce, can be on the table in 30 minutes or less. For those times when you want healthier fare, we've provided more than 100 recipes labeled "Light" such as Provencal Vegetable Soup and Poached Shrimp Salad with Avocado and Grapefruit, each with nutritional information listed in an easy-to-read chart in the back of the book. And we include chapters on for-two slow cooking, grilling, and baking pies, quick breads, cakes, and cookies. A 25-page manual teaches the basics of cooking for two, including clever shopping strategies to reduce waste, smart storage tricks help extend freshness of key ingredients, and our picks for the most useful kitchen equipment for any two-person household.

The Complete Cooking for Two Cookbook

aa767e89-65f8-4108-9761-073fdb4040aa-1

Ryan Jay Hoyme

Step by step massage basics and techniques from around the world

Step-By-Step Massage Basics and Techniques from Around the World

Learn the healing power of touch with a new, up-to-date reference from The Complete Guide to Modern Massage.

Massage is a natural method to relieve pain and reduce stress--and anyone can learn how to do it. The Complete Guide to Modern Massage offers an updated reference to learn popular techniques and feel the physical and emotional benefits of massage.

From classic styles such as Swedish or Shiatsu to new favorites like Ayurvedic and Thai, this massage guide offers illustrated, step-by-step instruction to master techniques from around the world. Complete with massage practices for pain relief, you'll learn how to heal your family, friends, partners, and even yourself of common ailments with your own two hands.

The Complete Guide to Modern Massage includes:

 * An introduction to massage that outlines the history and basic principles of massage and how they relate to modern practice.
 * World-famous massage techniques that include Deep Tissue, Reflexology, Tui Na, Cranialsacral, Reiki, and more!
 * Restorative applications for healing common ailments including headaches, neck pain, PMS, lower back pain, and more.
 * Easy-to-follow guidance with illustrations, and simple step-by-step directions to master every technique.

Give and receive rejuvenating massages with world-famous techniques and step-by-step instructions from The Complete Guide to Modern Massage.

The Complete Guide to Modern Massage

a9826fb1-dd1e-4629-a443-5420d24caa64-1

Lucy Leu

A Practical Guide for Individual, Group, or Classroom Study

"Marshall Rosenberg's groundbreaking Nonviolent Communication: A Language of Life reveals the power of connecting with others on an entirely new level. You realize immediately that every relationship in your life--with family or friends, co-workers, students, teachers, even with yourself--now has the potential for positive, permanent transformation. Learning the Nonviolent Communication (NVC) process has often been equated with learning a whole new way of thinking and speaking. The NVC Companion Workbook helps you easily put these powerful, effective skills into practice with chapter-by-chapter study of Rosenberg's cornerstone text, NVC: A Language of Life. Create a safe, supportive group learning or practice environment that nurtures the needs of each participant. Or, learn on your own as the workbook guides you through self-directed study. Find a wealth of activities, exercises, and facilitator suggestions to refine and practice this powerful way of communicating"--

Nonviolent Communication Companion Workbook, 2nd Edition

fd4f282d-9f6d-4c26-8b12-3210bbeeb77c-1

Karla McLaren

The practical guide for discovering the genius in your emotions 

Light Paperback (1 lb or less)

The Dynamic Emotional Integration® Workbook

82898366-72d4-40b5-830d-60022451923b-0

Raj Gill

Judi Morin

Interactive activities and awareness exercises based on 18 key concepts for the development of NVC skills and consciousness 

Heavy Paperback (2 to 4 lbs)

Interactive Activities and Awareness Exercises Based on 18 Key Concepts for the Development of NVC Skills and Consciousness

Nonviolent Communication (NVC) Toolkit for Facilitators

c29409e7-9e43-429c-b28d-e0bed70d0666-0

Lawrence Wallace

7 Ways to Freedom from Anxiety, Depression, and Intrusive Thoughts

A Practical Guide to Mental and Emotional Freedom! Take action now and download this book for a limited time discount! Feeling lost about how to effectively treat disturbing intrusive thoughts? You're not alone! This book contains brilliant advice from a former sufferer of anxiety, depression, and intrusive thoughts. Inspired by compassion, this book is a gift to fellow casualties of negative thought patterns, destructive behaviors, self-loathers, and those wishing freedom from persistent demons. Only by meeting our demons face-to-face can we hope to prevail and achieve inner peace. Happiness is a trainable, attainable skill! The most proven method for successfully treating mental suffering is CBT. However, there are also complimentary practices coming from Buddhist and Stoic philosophy. This book equips you with the most effective techniques for overcoming depression, anxiety, and intrusive thoughts. These are long-term solutions that have stood the test of time and scientific rigor. Self-compassion is at the heart of CBT. Take a chance on this book today! Exactly What You Will Learn... How To... Understand What Makes Your Mind Tick See The Link Between Spirituality and Self-Help Confront Anxiety Head-On! Challenge Unhelpful, Intrusive Thoughts Build a Better Relationship with Yourself Break Bad Habits and Enjoy Life! Optimal Life Management + BONUS Workbook! One-Click for a Healthier, Happier Mind! Full 30-Day 100% Money Back Guarantee. (That's How Confident We Are!) [100% Extra FREE: 10,000+ Words in Your New and Improved 2nd Edition!] Tags: Training, Techniques, Course, Self-Help, Online, Books, Anxiety, Depression, Cure, Insomnia, Phobias, Intrusive Thoughts, CBT, Cognitive Behavioural Therapy, Your Stress-Free Life.

Cognitive Behavioural Therapy

b51f922d-d35e-4788-8e85-431ecf3fd949-0

Robert Sedgewick

Computer Science

Graph Algorithms

Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

Algorithms in C, Part 5

e8181af7-96f2-40a2-8873-19b5351e35da-0

Fundamentals, Data Structures, Sorting, Searching

"This is an eminently readable book which an ordinary programmer, unskilled in mathematical analysis and wary of theoretical algorithms, ought to be able to pick up and get a lot out of.."
- Steve Summit, author of C Programming FAQs

Sedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book distinctive.
- William A. Ward, University of South Alabama

Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers!

This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language.

Highlights
 * Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures
 * Greater emphasis on abstract data types (ADTs) than in previous editions
 * Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations
 * New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more
 * Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them
 * Over 1000 new exercises to help you learn the properties of algorithms

Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

Algorithms in C, Parts 1-4

d08e1da3-41db-49ea-8508-5decdde8d179-1

William Gropp

Ewing Lusk

Anthony Skjellum

Portable Parallel Programming with the Message-Passing Interface

The thoroughly updated edition of a guide to parallel programming with MPI, reflecting the latest specifications, with many detailed examples. This book offers a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. Since the publication of the previous edition of Using MPI, parallel computing has become mainstream. Today, applications run on computers with millions of processors; multiple processors sharing memory and multicore processors with multiple hardware threads per core are common. The MPI-3 Forum recently brought the MPI standard up to date with respect to developments in hardware capabilities, core language evolution, the needs of applications, and experience gained over the years by vendors, implementers, and users. This third edition of Using MPI reflects these changes in both text and example code. The book takes an informal, tutorial approach, introducing each concept through easy-to-understand examples, including actual code in C and Fortran. Topics include using MPI in simple programs, virtual topologies, MPI datatypes, parallel libraries, and a comparison of MPI with sockets. For the third edition, example code has been brought up to date; applications have been updated; and references reflect the recent attention MPI has received in the literature. A companion volume, Using Advanced MPI, covers more advanced topics, including hybrid programming and coping with large data.

Using MPI, Third Edition

6bf908ba-925d-4970-b353-a8fc6bd0bc26-0

Torsten Hoefler

Rajeev Thakur

Modern Features of the Message-Passing Interface

A guide to advanced features of MPI, reflecting the latest version of the MPI standard, that takes an example-driven, tutorial approach. This book offers a practical guide to the advanced features of the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. It covers new features added in MPI-3, the latest version of the MPI standard, and updates from MPI-2. Like its companion volume, Using MPI, the book takes an informal, example-driven, tutorial approach. The material in each chapter is organized according to the complexity of the programs used as examples, starting with the simplest example and moving to more complex ones. Using Advanced MPI covers major changes in MPI-3, including changes to remote memory access and one-sided communication that simplify semantics and enable better performance on modern hardware; new features such as nonblocking and neighborhood collectives for greater scalability on large systems; and minor updates to parallel I/O and dynamic processes. It also covers support for hybrid shared-memory/message-passing programming; MPI_Message, which aids in certain types of multithreaded programming; features that handle very large data; an interface that allows the programmer and the developer to access performance data; and a new binding of MPI to Fortran.

Using Advanced MPI

a26ed537-0409-4944-9bbd-2d37c9dde0ea-0

Steven Huss-Lederman

Andrew Lumsdaine

Bill Nitzberg

William Saphir

Marc Snir

Janusz S. Kowalik

The Complete Reference - The MPI Extensions

Since its release in summer 1994, the Message Passing Interface (MPI) specification has become a standard for message-passing libraries for parallel computations. These volumes present a complete specification of both the MPI-1 and MPI-2 Standards.

3569d5fa-ccf3-452d-ab3b-363b9cddf74a-0

Steve Otto

Jack Dongarra

David Walker

The Complete Reference - The MPI Core

Point-to-Point Communication. User-Defined Datatypes and Packing. Collective Communications. Communicators. Process Topologies. Environmental Management. The MPI Profiling Interface.

2dceb003-1a33-4eda-b13a-3deff4584694-0

Ananth Grama

Vipin Kumar

George Karypis

Anshul Gupta

Heavy Hardcover (2 to 4 lbs)

A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.

Introduction to Parallel Computing

d9094eea-ea17-420b-9c94-5cbb6f6b9185-0

Peter A. Flach

The Art and Science of Algorithms That Make Sense of Data

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

Machine Learning

9ddc68dd-38fd-4a34-b010-a26f596903c9-0

Julian J. Faraway

Hardcover (1 to 2 lbs)

Math

Generalized Linear, Mixed Effects and Nonparametric Regression Models

Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies. Following in those footsteps, Extending the Linear Model with R surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author's treatment is thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees, and even the use of neural networks in statistics. To demonstrate the interplay of theory and practice, throughout the book the author weaves the use of the R software environment to analyze the data of real examples, providing all of the R commands necessary to reproduce the analyses. All of the data described in the book is available at http://people.bath.ac.uk/jjf23/ELM/ Statisticians need to be familiar with a broad range of ideas and techniques. This book provides a well-stocked toolbox of methodologies, and with its unique presentation of these very modern statistical techniques, holds the potential to break new ground in the way graduate-level courses in this area are taught.

Extending the Linear Model with R

8f004fdf-0710-478f-83f0-bca0df2c87bc-0

Terrence J. Sejnowski

Light Hardcover (1 lb or less)

How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

The Deep Learning Revolution

bc64019a-34f4-4dd2-832e-33ab0573dee5-0

Gareth James

Trevor Hastie

Robert Tibshirani

Daniela Witten

With Applications in R

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.

Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.   

An Introduction to Statistical Learning

73015b1f-b365-4fd4-8c5d-636c60405167-1

Danilo P. Mandic

Jonathon A. Chambers

Learning Algorithms, Architectures and Stability

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) can be implemented to expand the range of traditional signal processing techniques and to help combat the problem of prediction. Within this text neural networks are considered as massively interconnected nonlinear adaptive filters. Analyses the relationships between RNNs and various nonlinear models and filters, and introduces spatio-temporal architectures together with the concepts of modularity and nesting Examines stability and relaxation within RNNsPresents on-line learning algorithms for nonlinear adaptive filters and introduces new paradigms which exploit the concepts of a priori and a posteriori errors, data-reusing adaptation, and normalisation Studies convergence and stability of on-line learning algorithms based upon optimisation techniques such as contraction mapping and fixed point iteration Describes strategies for the exploitation of inherent relationships between parameters in RNNs Discusses practical issues such as predictability and nonlinearity detecting and includes several practical applications in areas such as air pollutant modelling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing Recurrent Neural Networks for Prediction offers a new insight into the learning algorithms, architectures and stability of recurrent neural networks and, consequently, will have instant appeal. It provides an extensive background for researchers, academics and postgraduates enabling them to apply such networks in new applications. VISIT OUR COMMUNICATIONS TECHNOLOGY WEBSITE! http://www.wiley.co.uk/commstech/ VISIT OUR WEB PAGE! http://www.wiley.co.uk/

Recurrent Neural Networks for Prediction

4c2fa02a-be2b-4266-8268-c5ab339984dc-0

Ray. Dalio

An entertaining, illustrated adaptation of Ray Dalio's Principles, the #1 New York Times bestseller that has sold more than two million copies worldwide.

Principles for Success distills Ray Dalio's 600-page bestseller, Principles: Life & Work, down to an easy-to-read and entertaining format that's acces­sible to readers of all ages. It contains the key elements of the unconven­tional principles that helped Dalio become one of the world's most suc­cessful people--and that have now been read and shared by millions worldwide--including how to set goals, learn from mistakes, and collaborate with others to produce exceptional results. Whether you're already a fan of the ideas in Princi­ples or are discovering them for the first time, this illustrated guide will help you achieve success in having the life that you want to have.

Principles for Success

3e3ae05a-6649-47ca-90b8-1b7eb58af9c5-1

Nicky Pope

With 280 Style Ideas and Step-by-Step Techniques

Everything you need to know to create salon-quality looks, illustrated with 950 fantastic photographs.

The Illustrated Guide to Professional Haircare and Hairstyles

1350d180-cbf4-4482-bac1-a3014c15ad19-0

Hadley Wickham

Business & Economics

Elegant Graphics for Data Analysis

Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

Ggplot2

283af3a5-0c96-4aeb-be74-fad2e473e2ab-0

Yves Hilpisch

Data Analysis, Models, Simulation, Calibration and Hedging

Supercharge options analytics and hedging using the power of Python Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers detailed explanations of all theory, methods, and processes, giving you the background and tools necessary to value stock index options from a sound foundation. You'll find and use self-contained Python scripts and modules and learn how to apply Python to advanced data and derivatives analytics as you benefit from the 5,000+ lines of code that are provided to help you reproduce the results and graphics presented. Coverage includes market data analysis, risk-neutral valuation, Monte Carlo simulation, model calibration, valuation, and dynamic hedging, with models that exhibit stochastic volatility, jump components, stochastic short rates, and more. The companion website features all code and IPython Notebooks for immediate execution and automation. Python is gaining ground in the derivatives analytics space, allowing institutions to quickly and efficiently deliver portfolio, trading, and risk management results. This book is the finance professional's guide to exploiting Python's capabilities for efficient and performing derivatives analytics. Reproduce major stylized facts of equity and options markets yourself Apply Fourier transform techniques and advanced Monte Carlo pricing Calibrate advanced option pricing models to market data Integrate advanced models and numeric methods to dynamically hedge options Recent developments in the Python ecosystem enable analysts to implement analytics tasks as performing as with C or C++, but using only about one-tenth of the code or even less. Derivatives Analytics with Python — Data Analysis, Models, Simulation, Calibration and Hedging shows you what you need to know to supercharge your derivatives and risk analytics efforts.

Derivatives Analytics with Python

8fd0cf2d-1744-42f3-8d1c-3bb27dfb8cbe-0

John Schilb

John Clifford

English

A Compact Guide and Anthology

Making Arguments About Literature combines a complete text on argumentative writing with a flexible anthology of literature in a compact format.

Making Arguments about Literature

bb07b8a3-ca8d-4224-81d6-7e7e6915302d-0

Cheryl Strayed

Advice on Love and Life from Dear Sugar

Collects top-selected postings on life and relationships from The Rumpus' popular "Dear Sugar" online column, sharing recommendations on everything from infidelity and grief to marital boredom and financial hardships. Original. 40,000 first printing.

Tiny Beautiful Things

4cb87f2a-6f3f-48b6-949b-b39550f234a7-1

Kelly Sun

Browse by categories

America's Test Kitchen

The Complete Cooking for Two Cookbook

Ryan Jay Hoyme

The Complete Guide to Modern Massage

Lucy Leu

Nonviolent Communication Companion Workbook, 2nd Edition

Karla McLaren

The Dynamic Emotional Integration® Workbook

Raj Gill; Lucy Leu; Judi Morin

Nonviolent Communication (NVC) Toolkit for Facilitators

Lawrence Wallace

Cognitive Behavioural Therapy

Robert Sedgewick

Algorithms in C, Part 5

Robert Sedgewick

Algorithms in C, Parts 1-4

William Gropp; Ewing Lusk; Anthony Skjellum

Using MPI, Third Edition

William Gropp; Torsten Hoefler; Rajeev Thakur; Ewing Lusk

Using Advanced MPI

William Gropp; Steven Huss-Lederman; Andrew Lumsdaine; Ewing Lusk; Bill Nitzberg; William Saphir; Marc Snir; Janusz S. Kowalik

MPI

Marc Snir; Steve Otto; Jack Dongarra; Steven Huss-Lederman; David Walker; Janusz S. Kowalik

MPI

Ananth Grama; Vipin Kumar; George Karypis; Anshul Gupta

Introduction to Parallel Computing

Peter A. Flach

Machine Learning

Julian J. Faraway

Extending the Linear Model with R

Terrence J. Sejnowski

The Deep Learning Revolution

Gareth James; Trevor Hastie; Robert Tibshirani; Daniela Witten

An Introduction to Statistical Learning

Danilo P. Mandic; Jonathon A. Chambers

Recurrent Neural Networks for Prediction

Ray. Dalio

Principles for Success

Nicky Pope

The Illustrated Guide to Professional Haircare and Hairstyles

Hadley Wickham

Ggplot2

Yves Hilpisch

Derivatives Analytics with Python

John Schilb; John Clifford

Making Arguments about Literature

Cheryl Strayed

Tiny Beautiful Things

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