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Bestselling author Sally Mandel writes vibrant novels peopled with richly-drawn characters whose lives move readers to both laughter and tears. Now she has created a remarkable story about the profound risks that are taken in the pursuit of a dream.

For pianist Bess Stallone, a self-taught musical prodigy from the tough side of Long Island, getting into Julliard was a minor miracle. It just wasn’t the kind of school girls from her blue-collar neighborhood attended. In fact, the only thing Bess had in common with the other Julliard students was her singular passion for classical music, which she could play magnificently. Except in front of an audience. From her first disastrous recital, Bess knew that she would never be good enough for the stage, as her bitter father had been telling her for years. But one willful, determined teacher would change everything.

Renowned virtuoso David Montagnier has already captivated the world. Now he needs a new partner for his two-piano repertoire, someone to breathe fresh excitement into his work. Drawn to her wild talent, David challenges Bess, seducing her with music and offering her a once-in-a-lifetime opportunity to get out of Rocky Beach. As David leads her from their first terrifying performance in a Harlem church to standing ovations at Carnegie Hall, Bess allows herself to surrender to the joys of life, and to believe in love.

Then the romance crumbles. For David’s brilliance masks the wounds of a tortured genius that may never heal. Forsaken, Bess must make a fateful journey of her own–to search once again for the music missing from her heart.

Resonating with wit, warmth, and profound insight, Heart and Soul is a triumph of emotion, a flawless symphony of realism and romance that celebrates life, love, perseverance, and an enduring passion for music.

• Sales Rank: #5520772 in Books
• Published on: 2002-04-16
• Released on: 2002-04-16
• Original language: English
• Number of items: 1
• Dimensions: 9.52" h x 1.04" w x 6.39" l,
• Binding: Hardcover
• 288 pages

From Publishers Weekly
As in her deservedly popular Out of the Blue, Mandel here displays her talent for establishing a strong female lead in an appealing milieu with an equally intriguing love interest. Frank-talking Long Island native Bess Stallone ("no relation") is a gifted pianist, fascinated and formed by music from an early age, but in every other way an unlikely virtuoso. With her difficult family life, wrong-side-of-island provenance and paralyzing stage fright, she's the perfect narrator to spin out Mandel's trademark self-deprecating humor. Bess has gotten into Juilliard and attracted the attention of the brilliant and renowned pianist David Montagnier, who wants her to be his partner at first on stage, and later in the bedroom. In a series of skillful scenes, Mandel takes Bess from down and out to what seems like the life of her dreams. But David, however potentially compelling as a character, remains a gorgeous cipher until the end, while good guy Jake, Bess's high school buddy, is telegraphed too clearly as being the one Bess is destined to be with. Mandel could have written a much deeper book, since both David's past with his tragic mother, Aimee, and Bess's history with Jake would have added weight and balance. The strong supporting characters and an ending that almost satisfies wrap up a package that leaves the reader wanting more. National radio ads; print ads in Romantic Times; New York media and bookstore appearances.
Copyright 2002 Cahners Business Information, Inc.

From Booklist
Bess Stallone, a potty-mouthed, big-haired, tough Long Island girl, has a big problem. She's a piano-playing prodigy who vomits or faints whenever she performs for an audience. Deciding to give up, she worries that she'll have to wait tables forever until the gorgeous, rich, and famous virtuoso David Montagnier picks her to be his new partner for his two-piano repertoire. Her extreme sexual attraction to him, as well as his ability to groom her for stage appearances, leads to success and romance until his maniacal dark side manifests. Classical music permeates the story; at one point Bess, who fame turns into a "classical-piano version of Jennifer Beals in Flashdance," says, "I guess music is a kind of sickness, like nymphomania." Although Bess talks like Stephanie Plum and David is just too glamorous for words, they are fully dimensional characters, and although on the surface this looks like a happily ever after Cinderella-type tale, Mandel turns it into a compelling drama of phobias and mental illness. Diana Tixier Herald
Copyright � American Library Association. All rights reserved

From the Inside Flap
Bestselling author Sally Mandel writes vibrant novels peopled with richly-drawn characters whose lives move readers to both laughter and tears. Now she has created a remarkable story about the profound risks that are taken in the pursuit of a dream.

For pianist Bess Stallone, a self-taught musical prodigy from the tough side of Long Island, getting into Julliard was a minor miracle. It just wasn?t the kind of school girls from her blue-collar neighborhood attended. In fact, the only thing Bess had in common with the other Julliard students was her singular passion for classical music, which she could play magnificently. Except in front of an audience. From her first disastrous recital, Bess knew that she would never be good enough for the stage, as her bitter father had been telling her for years. But one willful, determined teacher would change everything.

Renowned virtuoso David Montagnier has already captivated the world. Now he needs a new partner for his two-piano repertoire, someone to breathe fresh excitement into his work. Drawn to her wild talent, David challenges Bess, seducing her with music and offering her a once-in-a-lifetime opportunity to get out of Rocky Beach. As David leads her from their first terrifying performance in a Harlem church to standing ovations at Carnegie Hall, Bess allows herself to surrender to the joys of life, and to believe in love.

Then the romance crumbles. For David?s brilliance masks the wounds of a tortured genius that may never heal. Forsaken, Bess must make a fateful journey of her own?to search once again for the music missing from her heart.

Resonating with wit, warmth, and profound insight, Heart and Soul is a triumph of emotion, a flawless symphony of realism and romance that celebrates life, love, perseverance, and an enduring passion for music.

Most helpful customer reviews

0 of 0 people found the following review helpful.
A good read
By ReviewMama
I love this book. I had it in hardcover years ago but since lost it. I've read this book at least 6 or 7 times. As someone that a. loves a good romance and b. plays piano herself, I adored this book. It's funny, uplifting, heartbreaking, and tearjerking all throughout the book. I love it. A good read if you're looking for a quirky romance read but beware, it's a little sad.

I do test these products out myself and give a very honest review. I am one that reads the reviews carefully when making purchases so I appreciate those who take the time to post reviews! If my review has been helpful to you, please give me a "Yes" vote on my review!

0 of 6 people found the following review helpful.
All too convenient
By A Customer
Although the vast majority of the books I read are fiction, I also love reading about pianos and pianists. I was delighted to discover this book, which at least purported to be a novel about pianists. Alas, it was not really about piano playing at all. Instead, it was a rather trivial novel about a set of relationships some of which happened to involve piano playing. A novel that really focused on the talent of the heroine would have had to provide more of a basis for her excellence; instead, she emerges as a brilliant pianist almost from nowhere. There is no sense of the sweat and tears of learning to play piano at that level. The only inkling of the scope of the heroine's endeavor comes when we find out that the heroine suffers from intractable stage fright, a fright she overcomes with surprising ease when the perfect partner discovers her.
The romance aspects of this novel are also weak, as is the sense of the passing of time (almost none seems to pass). Solutions to problems--such as the long-term care needs of the father--leap out of the woodwork. Everything comes much too easily to the heroine, including her discovery of the love of her life waiting in the wings (where he has been for 22 years) when her piano partnership ends. Her traumas do not last long, and are all easily resolved, whether by a sudden and surprising injection of money, friendship or love.
Life is just not this easy, and a novel in which it is this easy almost inevitably lacks a sufficient sense of drama to be successful. This novel is no exception.

6 of 6 people found the following review helpful.
Another Great Love Story
By Jeanne Anderson
I'm a sucker for a love story. Heart and Soul is just that and it is not a sappy one either. It is about Bess Stallone, a tough Long Island girl who just happens to be a gifted pianoist. She talks with a foul mouth, has a very good sense of humor, you can't help but like her.
David is a virtuoso known throughout the world. He is handsome and very famous, in need of a new partner at the piano. The long and short of the story is that he picks Bess and works with her as they become a pair on stage and off. She is so much in love with him and he her.
It is a story told before of course, girl from the wrong side of the tracks hooks up with the pretty boy. Same old story but this one really will grab you and touch you and also make you laugh. David is a tortured soul who ultimately caves in and falls apart as does their relationship. There are such tender moments though in this story.
Of course there is also Jake, her forever friend and the one who has always loved her since 7th grade and will be there for her at the end when she needs him.
I loved it. If you are looking for a good love story this is for you.

See all 18 customer reviews...

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Key Features

• Learn how to plan, install, optimize, customize, and configure Moodle
• Guarantee a cutting-edge learning experience in a secure and customizable environment while optimizing your day-to-day workload
• A one-stop guide with a problem-solution approach and a wide range of real-world examples

Book Description

Moodle is the de facto standard for open source learning platforms. However, setting up and managing a learning environment can be a complex task since it covers a wide range of technical, organizational, and pedagogical topics. This ranges from basic user and course management, to configuring plugins and design elements, all the way to system settings, performance optimization, events frameworks, and so on.

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What You Will Learn

• Install and update Moodle on multiple platforms manually and via CLI and GIT
• Manage courses and categories, users and cohorts, as well as roles
• Get Moodle hooked up to repositories, portfolios, and open badges
• Configure Moodle for mobile usage, accessibility, localization, communication, and collaboration
• Guarantee backups, security and privacy, and achieve maximum performance via the Moodle Universal Cache and the new cron system
• Configure the Moodle events system to generate comprehensive reports, statistics, and learning analytics
• Network Moodle with Mahara and extend it with third-party add-ons and via LTI
• Customize Moodle web services to enable mobile learning and integration with other IT systems

About the Author

Alex Buchner is the co-founder and technical director of the Platinum Totara, Moodle, and Mahara partner, Synergy Learning. He has been involved in system and database administration for more than two decades and has been administering virtual learning environments of all shapes and sizes since their advent on the educational landscape.

Alex holds a PhD in computer science and an MSc in software engineering. He has authored over 50 international publications, including two books, and is a frequent speaker on Totara, Moodle, Mahara, and related open source technologies. His first two books on Moodle Administration by Packt Publishing have become the de facto standard on the topic.

Table of Contents

Moodle Installation

The Moodle System

Courses, Users, and Roles

Course Management

User Management

Managing Permissions – Roles and Capabilities

Moodle Look and Feel

Moodle Plugins

Moodle Configuration

Moodle Logging and Reporting

Moodle Security and Privacy

Moodle Performance and Optimization

Backup and Restore

Moodle Admin Tools

Moodle Integration

Moodle Networking

Configuration Settings

• Sales Rank: #360024 in eBooks
• Published on: 2016-02-29
• Released on: 2016-02-29
• Format: Kindle eBook

About the Author

Alex Buchner

Alex Buchner is the co-founder and technical director of the Platinum Totara, Moodle, and Mahara partner, Synergy Learning. He has been involved in system and database administration for more than two decades and has been administering virtual learning environments of all shapes and sizes since their advent on the educational landscape. Alex holds a PhD in computer science and an MSc in software engineering. He has authored over 50 international publications, including two books, and is a frequent speaker on Totara, Moodle, Mahara, and related open source technologies. His first two books on Moodle Administration by Packt Publishing have become the de facto standard on the topic.

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• Sales Rank: #23907 in Books
• Brand: Brand: Wiley
• Published on: 2013-11-04
• Original language: English
• Number of items: 1
• Dimensions: 9.30" h x .80" w x 7.40" l, 1.58 pounds
• Binding: Paperback
• 432 pages

Features

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From the Back Cover

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—Patrick Lennon, Director of Analytics, The Coca-Cola Company

Most people are approaching data science all wrong. Here's how to do it right.

Not to disillusion you, but data scientists are not mystical practitioners of magical arts. Data science is something you can do. Really. This book shows you the significant data science techniques, how they work, how to use them, and how they benefit your business, large or small. It's not about coding or database technologies. It's about turning raw data into insight you can act upon, and doing it as quickly and painlessly as possible.

Roll up your sleeves and let's get going.

Relax — it's just a spreadsheet

Visit the companion website at www.wiley.com/go/datasmart to download spreadsheets for each chapter, and follow them as you learn about:

• Artificial intelligence using the general linear model, ensemble methods, and naive Bayes
• Clustering via k-means, spherical k-means, and graph modularity
• Mathematical optimization, including non-linear programming and genetic algorithms
• Working with time series data and forecasting with exponential smoothing
• Using Monte Carlo simulation to quantify and address risk
• Detecting outliers in single or multiple dimensions
• Exploring the data-science-focused R language

About the Author
John W. Foreman is Chief Data Scientist for MailChimp.com, where he leads a data science product development effort called the Email Genome Project. As an analytics consultant, John has created data science solutions for The Coca-Cola Company, Royal Caribbean International, Intercontinental Hotels Group, Dell, the Department of Defense, the IRS, and the FBI.

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201 of 207 people found the following review helpful.
Insightful, practical, and colorful. Perspective from a biased reviewer.
By Evan Miller
Disclaimer: I served as a paid technical editor for Data Smart. I am not affiliated with the publisher, but I did receive a small fee for double-checking the book's mathematical content before it went to press. I also went to elementary school with the author. So as you read the rest of the review, keep in mind that this reviewer's judgment could be clouded by my lifelong allegiance to Lookout Mountain Elementary School, as well as the Scarface-esque pile of one dollar bills currently sitting on my kitchen table.

Anyway, books about "Data" seem to fit into one of the following categories:

* Extremely technical gradate-level mathematics books with lots of Greek letters and summation signs

* Pie-in-the-sky business bestsellers about how "Data" is going to revolutionize the world as we know it. (I call these "Moneyball" books)

* Technical books about the hottest new "Big Data" technology such as R and Hadoop

Data Smart is none of these. Unlike "Moneyball" books, Data Smart contains enough practical information to actually start performing analyses. Unlike most textbooks, it doesn't get bogged down in mathematical notation. And unlike books about R or the distributed data blah-blah du jour, all the examples use good old Microsoft Excel. It's geared toward competent analysts who are comfortable with Excel and aren't afraid of thinking about problems in a mathematical way. It's goal isn't to "revolutionize" your business with million-dollar software, but rather to make incremental improvements to processes with accessible analytic techniques.

I don't work at a big company, so I can't attest to the number of dollars your company will save by applying the book's methods. But I can attest that the author makes difficult mathematical concepts accessible with his quirky sense of humor and gift for metaphor. For example, I previously had not been exposed to the nitty-gritty of clustering techniques. After a couple of hours with the clustering chapters, which include illuminating diagrams and spreadsheet formulas, I felt like I had a good handle on the concepts, and would feel comfortable implementing the ideas in Excel -- or any other language, for that matter.

What I like most about the book is that it doesn't try to wave a magic data wand to cure all of your company's ills. Instead it focuses on a few areas where data and analytic techniques can deliver a concrete benefit, and gives you just enough to get started. In particular:

* Optimization techniques (Ch. 4) can systematically reduce the cost of manufacturing inputs

* Clustering techniques (Ch. 2 and 5) can deliver insights into customer behavior

* Predictive techniques (Ch. 3, 6, and 7) can increase margins with better predictions of uncertain outcomes

* Forecasting techniques (Ch. 8) can reduce waste with better demand planning

It may take some creativity to figure out how to apply the methods to your own business processes, but all of the techniques are "tried and true" in the sense of being widely deployed at large companies with big analytics budgets and teams of Ph.D.'s on staff. This book's contribution is to make these techniques available to anyone with a little background in applied mathematics and a copy of Excel. For that reason, despite the absence of glitter and/or Jack Welch on the book's cover, I think Data Smart is an important business book.

I had a few criticisms of the book as I was reading drafts, but almost all of them were addressed before the final revision. For the sake of completeness, I'll tell you what they were. Some of the chapters ran on a bit long, but these have been split up into manageable pieces. The Optimization chapter is a bit of a doozie, and used to be at the very beginning, but the reader can now "warm up" with some easier chapters on clustering and simple Bayesian techniques. The Regression chapter originally didn't discuss Receiver Operating Characteristic curves, which are important for evaluating predictive models visually, but now ROC curves are abundant.

Only one real criticism from me remains: I would have liked to see more on quantile regression, which is only mentioned in passing. It's a great technique for dealing with outlier-heavy data. The book by Koenker has good but highly mathematical coverage, and I would have loved to see this subject given the Foreman treatment. But, you can't have everything, and I suppose John needs to leave some material for Data Smart 2: The Spreadsheet of Doom.

In sum, Data Smart is a well-written and engaging guide to getting new insights from data using familiar tools. The techniques aren't really cutting-edge -- in fact, most have been around for decades -- but to my knowledge this is the first time they've been presented in a way that Excel-slinging business analysts can apply the methods without needing her own team of operations researchers and data scientists. If you're not sure whether the book's sophistication is on par with your own skills, you can download a complete sample chapter (as well as example spreadsheets) from the author's website.

One last thing: unlike many books with a technical bent, the prose is engaging and extremely clear. I think this can be traced to John's childhood. When John misbehaved, his father (who is a professor of English) would punish John by forcing him to read a novel by Charles Dickens. Minor infractions resulted in A Christmas Carol being meted out, and when he was really bad he had to read Great Expectations. This is a true story which you should ask John about if you see him at a book-signing event.

88 of 89 people found the following review helpful.
Reminds you that technical books can be insightful and fun to read
By Jim Vallandingham
When I began to read the introduction for this book, after receiving it as a gift - I was a bit disheartened. I am not one of personas listed in the 'Who Are You" section - a CEO or VP of an online startup, a beginner BI analyst. Instead, I am a software developer specializing in data visualization and data analysis.

Furthermore, Excel is far from my preferred research tool of choice. I like code instead of screenshots. Python, Ruby, and R are where I turn when I want to look at data.

*Even* with this mismatch of intended audience, I found myself engrossed in this book, reading it cover to cover in a few days.

Data Smart is a wonderful resource. The use of Excel as a primary means for exploring data science concepts is surprisingly effective. It strips away all the code magic. You can't rely on SciKit-learn, or Weka, or even proper functions when all you have are cells and sheets.

Instead, it provides a way for John Foreman to break down these complex concepts into the fundamental components that make them tick. You start to see the patterns between seemingly disparate technologies that are actually built off the same few bits of logic. Things start to click.

The writing and real-world situations are really what make it fun and worth reading through and enjoying the ride. John's style hits the sweet spot between clarity and comical. Each chapter is well scoped. You understand the rational behind why someone might want to use the particular tool being described to solve the problem at hand. The whimsy and flare added by the author moves the plot along at a good pace. The problems are simple enough to wrap your head around - but not toys. The datasets generated for this book must have taken a while to curate. The book is really fun to read.

I think for me this book provides a great reminder of the landscape of data science tools, as well as a story-telling process to describe and relate these tools to non-programmy non-programmers.

Even if you aren't a startup CEO... yet - this book is worth having on your shelf. Check it out today!

37 of 41 people found the following review helpful.
Smartly written, extremely valuable insights
By M. L Lamendola
Having been involved in both electrical power monitoring (very data intensive) and business intelligence software (provides business reports from database sources) for well over a decade now, I agree with the author's premise that there's a difference between data and information. I wrote an article on this subject for the Crystal Reports market, and it's featured on the Crystalkeen Website. Too much of what pretends to be "analysis" or "information" or "business reports" is simply reformatted data and not very useful.

Another premise of this author is that the data analysis function serves the business, not the other way around. This point is often lost upon those who are supposed to provide the analysis. Rather than answer business questions, they just provide analysis. Their thinking, such that it is, revolves around the idea that they best do their jobs when they can do the neatest tricks with the analysis system.

These are just two examples of several "wrong thinking" ideas that Foreman addresses in this book. Because these "wrong thinking" ideas are pervasive and cause the misallocation of millions of dollars of resources in the typical large company, this book is worth several thousand times its cover price for the typical large company. Scale down the cost as you scale down the enterprise, and the multiplier is obviously less dramatic but still quite potent. Assuming, of course, the reader grasps what Foreman is saying and acts upon those new insights.

This assumption has some teeth to it, because Foreman is a very clever writer. In addition to using humor to keep the reader engaged, he apparently labored long and hard over his word choices to get clear meaning across to the reader. This is something I greatly appreciate in a work of nonfiction. Typically, the subject matter expert lacks such a command of English and something gets a bit muffed in the translation from text to the mind of the reader.

Now, that's my commentary on the high-level stuff. Which does not comprise the bulk of this book. I addressed it first because, to me, this alone makes this book a "must read" for anyone involved in data analysis, business intelligence, or related fields. Too many in these fields cannot see the forest for the trees, and their penchant for getting mired down in insignificant details shows in the results of their work. They wonder why users waste many hours trying to do their own analysis in Excel, instead of looking at whether they are providing a useful service to the business and its decision-making needs.

Let's move on to the technical stuff covered in this book. At one time in my career, I was a spreadsheet junkie. I built very complex models in Excel. So I was delighted to walk through Foreman's examples and tutorials on using Excel to do various kinds of analysis. These examples and tutorials comprise the bulk of this book, but they are not the point of the book.

Let me explain by analogy. I'm not sure if this reaches the typical reader, but try to follow (and accept my apologies if it's a dud). In electrical engineering today, software does the number crunching for you. But in engineering school (and often in the friendly debates engineers have), the modus is on manually doing the calculations. When you read the electrical engineering trade publications, you find not an admonition to run the example through your software but you find manual calculations being walked through.

The reason, in all instances, is the participants must be able to understand the concepts. You can do this only by crunching the numbers yourself and following along in the mental processes of arriving at the answer. So the author of an article might provide quite a trail of calculation to prove a point. It's the point that matters, not the calculation per se. But you don't get the point unless you can see how it's arrived at.

For example, in this book Foreman discusses K-analysis. How can you really understand this without working through some examples and watching the effects on the data? Answer: You can't.

To me, being walked through this litany of hard-to-grasp data analysis concepts is the only way a person can really understand those concepts. I think a mere surface knowledge is insufficient (a little knowledge is dangerous....). Even outside the realm of data analysis, people toss about terms they clearly do not understand but think they do. But based on my many years interacting with Crystal Reports administrators and trainers, I think the problem is especially pernicious in this particular field of data analysis. If you really want to know what you're talking about, you need to do the learning work.

The first nine chapters walk the reader through data analysis concepts. Chapter 10 is an introduction to an analysis program called R. Foreman begins by summing up the previous nine chapters as an exercise in learning analytics and then making it clear that Excel isn't the right tool for actually doing analytics.

I don't believe Foreman is trying to "sell" R per se. It's what he's familiar with. There are other tools for data analysis, including the big players in the Business Intelligence (BI) market, such as Crystal Reports and Cognos. Basically, if you want an effective, accurate, efficient way to answer business decision-making questions from the data your business gathers, you need to step up to a tool designed for that job. And, of course, you need an adequate database behind it.

Foreman has excellent advise in his 11th chapter (which is not numbered), "Conclusion." It's only six pages long, but what he says in here is profound. If you, as the reader, grasp nothing else but what's in this conclusion, the book has served you well.

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0 of 0 people found the following review helpful.
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By Roberto Camacho
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