Sabtu, 31 Januari 2015

[C465.Ebook] PDF Ebook A Charlie Brown Christmas: Vince Guaraldi Trio (Piano Solo/Vocal/Chords), by Vince Guaraldi Trio, Bill Galliford, David Pugh

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A Charlie Brown Christmas: Vince Guaraldi Trio (Piano Solo/Vocal/Chords), by Vince Guaraldi Trio, Bill Galliford, David Pugh



A Charlie Brown Christmas: Vince Guaraldi Trio (Piano Solo/Vocal/Chords), by Vince Guaraldi Trio, Bill Galliford, David Pugh

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A Charlie Brown Christmas: Vince Guaraldi Trio (Piano Solo/Vocal/Chords), by Vince Guaraldi Trio, Bill Galliford, David Pugh

Music from the highly acclaimed PEANUTS� Christmas special in a sheet music folio. Titles are: Christmas Is Coming
* The Christmas Song
* Greensleeves
* Christmas Time Is Here
* F�r Elise
* Hark, The Herald Angels Sing
* My Little Drum
* O Tannenbaum
* Skating
* What Child Is This and Linus and Lucy.

  • Sales Rank: #2567267 in Books
  • Model: 00-P0924SMX
  • Published on: 1991-09-01
  • Original language: English
  • Number of items: 1
  • Dimensions: .14" h x 9.05" w x 11.97" l,
  • Binding: Sheet music
  • 36 pages

Most helpful customer reviews

416 of 430 people found the following review helpful.
Clearing the air on this gem of a reissue...
By Joseph M. Luca
No, this is not your father's A Charlie Brown Christmas album. As has been pointed out here already, there's a different mix and alternate takes. But some points should be brought to a prospective buyer's attention so as to truly appreciate what's been done here.

The remix by Stephen Hart serves 1 purpose - to clean up a poorly recorded (even by mid-sixties standards)soundtrack. Noise reduction was used to remove excessive hiss, and the new mix was re-eq'd to accomodate listening by today's standards. It had been suggested that some left hand work by Vince is lost in this mix, but that is highly unlikely since, although probably recorded on a 4-track machine, the trio appeared to have had each of their instruments recorded in mono. Stephen merely places each instrument slightly to the left,center, or right in order to give a "live club" spaciousness to the sound, rather than the typical studio panned mixes we hear today.

In my opinion, people who are disgruntled with the actual sound of this disc have just been used to the original mix for so long that this appears foreign to them. They're just not used to it. If they long for a 60's sounding disc - they should simply convert their vinyl album to cd-r!

As for the replaced takes...that's another story altogether. Regarding the "wrong take" of "Linus & Lucy": the one presented on this reissue is actually the one that was used in the film (and this marks the first time this take was made commercially available). All previous issues of this soundtrack album used the version from the A Boy Named Charlie Brown documentary soundtrack.

We've NEVER had a commercially available version of the take of "Christmas Time is Here" (either the vocal or instrumental version) from the film, and this reissue is no exception, it is as the initial Fantasy release had it. The excerpt from "Christmas is Coming" in the film is to short to determine what take was finally used in it. The version on the new disc is NOT the one on the original issue, nor is the alternate bonus track.

Also, the take of "O Tannenbaum" is not an alternate version, but rather offers an arpeggiated chord introduction that apparently was overdubbed as an afterthought and was later cut out from the initial release. The version of "The Christmas Song" is the same as the original, not another take which was previously reported.

On a last note, there's a pleasant surprise at the end of "Skating," which is the same take as the original issue, but dosen't fade out and we're able to hear Vince's trio finish the song outright. Ditto for the instrumental track of "Christmas Time is Here" (though the effect is less dramatic). Jazz tunes were not meant to fade out!!

Should more care have been taken in letting the consumer know about these changes? Absolutely! But in spite of their...um... carelessness, this new reissue is a must have for all Vince & Charlie Brown Christmas fans.

132 of 136 people found the following review helpful.
Peanuts Christmas Jazz Masterpiece
By Darren
I really don't think any Christmas music collection could be complete without this soundtrack. When I think back of my childhood and watching the Charlie Brown Christmas Special on CBS during the holidays, I can't help but remember the warm feeling that Vince Guaraldi's arrangements instilled in me while watching the special. Looking back now, I also think that this soundtrack music was my first memorable exposure to jazz and probably set the stage for my musical appeal to instrumental jazz. "Christmas Time is Here" has become a Holiday jazz standard and has been re-recorded by a number of jazz vocalists but my personal favorite is "Skating". This is the Tao of Christmas. You can't help but lose yourself in the meditative freedom expressed in this arrangement, like the Peanuts characters in the movie, gliding so freely, smoothly and gracefully on the frozen pond in the pristine greyness of winter.
If you grew up watching the Peanuts during Christmas, this CD takes you back to that place in your childhood Christmas heart.

76 of 79 people found the following review helpful.
Put 5 stars for Guaraldi on the top of Charlie Brown's tree
By Joanna Daneman
It wasn't only the wonderful humor of Charles Schulz and the adorable child voices that made "A Charlie Brown Christmas" such an enduring holiday favorite. The score by Vince Guaraldi was sophisticated and sensitive and stands alone as one of the best holiday albums ever. Frankly, we play it all year long, yes, Christmas in July or June or whenever.)

The original compositions ("Skating", "Linus and Lucy", "Christmas is Coming") are brilliant, quirky and humorous, yet are far from childish. They are jazz compositions of real merit, and Guaraldi must have been a true "Peanuts" fan because he really was able to interpret Schulz's characters in musical form.

The score also has Guaraldi's interpretations of favorite Christmas carols. In "Greensleeves" in particular, you can hear how Guaraldi flavors this English classic with snippets of the Charlie Brown music--very clever and makes the score hang together as a unit and not just a patchwork of holiday tunes.

Sometimes the sound is a bit fuzzy on this recording (made originally in 1965), but that doesn't detract much from the pure pleasure of the score. This is a CD we play frequently and I must say, it never palls. I hear new things every time.

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Minggu, 25 Januari 2015

[N575.Ebook] Get Free Ebook How I Became a Quant: Insights from 25 of Wall Street's EliteFrom Lindsey, Richard R. (EDT)/ Schachter, Barry (EDT)

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How I Became a Quant: Insights from 25 of Wall Street's EliteFrom Lindsey, Richard R. (EDT)/ Schachter, Barry (EDT)

Praise for How I Became a Quant

"Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!"
--Ira Kawaller, Kawaller & Co. and the Kawaller Fund

"A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions."
--David A. Krell, President and CEO, International Securities Exchange

"How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis."
--Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management

"Quants"--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk.

How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.

  • Sales Rank: #762424 in Books
  • Brand: Lindsey, Richard R. (EDT)/ Schachter, Barry (EDT)
  • Published on: 2009-08-03
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.00" h x 1.05" w x 6.00" l, 1.00 pounds
  • Binding: Paperback
  • 404 pages

From the Inside Flap

The "quants"——Wall Street's disciples of quantitative analysis——have become the mar-ket's new superstars. Their mathematical models are now the basis for such financial market innovations as exotic derivatives, structured investment products, quantitative trading strategies, and portfolio selection.

What brought about this path-breaking investment revolution? Some cite the beginning of trading in exchange-listed equity options in 1973, while others credit the arrival of desktop computing around 1980. But perhaps the most important factor was the dramatic increase in the volatility of prices. It was this aversion to increasing uncertainty experienced by financial market participants——real, living, breathing people—that led to the quant revolution. So who are these people who develop the mathematical models that create new ways to allow people to modify their exposure to risk? How do they do what they do? Where did they come from? In How I Became a Quant, you will find firsthand accounts direct from the people who were swept into, and then helped fashion, today's "quant-driven," dynamic world of finance.

More than two dozen quants tell their stories here and detail the varying paths they have followed——often from university graduate departments of physics, math-ematics, and engineering——to Wall Street. Peter Carr, head of Quantitative Financial Research at Bloomberg, tells of his progression from cornering the local paper delivery market as a boy in Toronto to teaching at Cornell to ultimately helping Bloomberg start up its quant group. Leslie Rahl, President of Capital Market Risk Advisors, describes how she excelled in math and science as a girl, went on to MIT——so as not to be seen as "weird," as she thought might happen at other schools——and joined Citibank at a time when they had only two women VPs in the entire worldwide organization. Andrew Weisman, Managing Director of Merrill Lynch, reveals an academic background that began with study of the classics——Plato to Popper, Beowulf to Virginia Woolf, and oddly enough, swimming lessons.

These unlikely superstars of Wall Street now provide the intellectual horsepower to fulfill the dream of unlimited ability to manage risks through trading financial instruments. These are the stories behind their careers.

From the Back Cover
Praise for How I Became a Quant

"Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!"
—Ira Kawaller, Kawaller & Co. and the Kawaller Fund

"A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions."
—David A. Krell, President and CEO, International Securities Exchange

"How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis."
—Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management

"Quants"—those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements—face the unprec-edented challenge of navigating some of the most volatile markets we have ever seen.

How I Became a Quant reveals the individuals behind this revolution, offering you the chance to learn firsthand what it's like to be a quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.

About the Author

Richard R. Lindsey, PhD, MBA, is President and CEO of the Callcott Group, LLC, a quantitative consulting firm. For eight years, he was president of Bear, Stearns Securities Corporation. Dr. Lindsey is also Chairman of the International Association of Financial Engineers. Prior to joining Bear Stearns, Dr. Lindsey was the director of market regulation for the U.S. Securities and Exchange Commission.?Before joining the SEC, he was a finance professor at Yale University in the School of Management. Dr. Lindsey has done extensive work in the areas of market micro-structure (the design and regulation of securities markets) and the pricing of derivative securities.

Barry Schachter, PhD, is Director of Quantitative Resources at Moore Capital Management. He is on the advisory board of the International Association of Financial Engineers and is cochair of its Education Committee. Schachter spent the early part of his career in academia, most of that time on the faculties at Simon Fraser University and Tulane University. He also founded and maintains GloriaMundi.org, a Web site for risk managers, and BelRanto.typepad.com, a Web log on risk and hedge funds.

Most helpful customer reviews

18 of 19 people found the following review helpful.
Interesting Stories, Sloppy Editing
By Jim Kucharczyk
A collection of first person narratives from some of the leaders of the quant revolution in financial markets over the last 3 decades. Some of the story telling seemed perfunctory, but in other cases it was downright inspiring. Most provide insight into the workings of Wall Street and the more exotic instruments and strategies in play in today's markets, and as such were of value to this non-professional reader.

Poor editing became annoying; words were not only misspelled, they were actually missing and had to be inferred from context.

Emmanuel Derman's "My Life as a Quant" provides only one story and not 25, but it is told with deep personal insight and a sense of humor. It also provides more technical discussion of a number of the important financial models developed and utilized in the market since the 1980s. For those interested in understanding how a hard scientist transitions from academia into finance, I would recommend it as a much better starting place than "How I Became a Quant."

My Life as a Quant: Reflections on Physics and Finance

45 of 53 people found the following review helpful.
See how quants have changed the world!
By Yin Luo
Although people may argue why this and that person was not on the Wall Street's quant elite list, I'd say that the authors picked an amazing list of 25 quants, representing quantitative equity portfolio management, market microstructure, derivatives pricing, and risk management. Yes, as you may not be aware of, there are two types of quants, one in quantitative equity/market microstructure and one in derivatives pricing/risk management. They are somewhat related, but use very different tools. The former is less well known until early 2000s (the boom of market neutral hedge funds) and the latter is overly covered in academic programs since late 1990s.

It's very interesting and inspiring to learn how these 25 quants became quants. Many with physics/math background came to finance, due to the cut of funding in hard science after the cold war. Many people became quants because of "accident". Few people came to this world because they had wanted to do quant finance from the beginning. Of course, it's all different now. Smart and ambitious university students aim at quant finance from day one. There are also many graduate computation finance/financial engineering/math finance programs to choose from, so you don't have to go through a lengthy PhD program.

Life is highly path dependent (as many of the 25 quants said in the book). Choose your career careful, but more importantly, choose something that you really enjoy (and hopefully, also something you are really good at) - this is one of the key messages in the book. I'd highly recommend this book to anyone with a keen interest in joining the quant finance world.

17 of 20 people found the following review helpful.
Many good & useful, some useless chapters
By MartinD
It seems almost every chapter is a variation on this answer to the question:

i) You don't become a "quant", because nobody can really defin what that is, but thanks for asking
ii) I got where I am today through skill, work, and (lots of) luck
iii) here's my well-polished story
iv) story

Still, it's a good read, mostly. Many chapters are interesting for the further reading they suggest, or questions they raise.

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Selasa, 20 Januari 2015

[V478.Ebook] Get Free Ebook Machine Learning Projects for .NET Developers, by Mathias Brandewinder

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Machine Learning Projects for .NET Developers, by Mathias Brandewinder

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you’re new to F#, this book will give you everything you need to get started. If you’re already familiar with F#, this is your chance to put the language into action in an exciting new context.

In a series of fascinating projects, you’ll learn how to:

  • Build an optical character recognition (OCR) system from scratch
  • Code a spam filter that learns by example
  • Use F#’s powerful type providers to interface with external resources (in this case, data analysis tools from the R programming language)
  • Transform your data into informative features, and use them to make accurate predictions
  • Find patterns in data when you don’t know what you’re looking for
  • Predict numerical values using regression models
  • Implement an intelligent game that learns how to play from experience

Along the way, you’ll learn fundamental ideas that can be applied in all kinds of real-world contexts and industries, from advertising to finance, medicine, and scientific research. While some machine learning algorithms use fairly advanced mathematics, this book focuses on simple but effective approaches. If you enjoy hacking code and data, this book is for you.

  • Sales Rank: #601438 in Books
  • Published on: 2015-06-29
  • Released on: 2015-07-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.00" h x .68" w x 7.00" l, .0 pounds
  • Binding: Paperback
  • 300 pages

About the Author
Mathias Brandewinder is a Microsoft MVP for F# based in San Francisco, California. An unashamed math geek, he became interested early on in building models to help others make better decisions using data. He collected graduate degrees in Business, Economics and Operations Research, and fell in love with programming shortly after arriving in the Silicon Valley. He has been developing software professionally since the early days of .NET, developing business applications for a variety of industries, with a focus on predictive models and risk analysis.

Most helpful customer reviews

20 of 20 people found the following review helpful.
Potentially an amazing book, but with some serious flaws that need fixing
By Yossu
Despite the three stars, I have to start off by saying that this book got me very excited, and has the makings of a five star book. However, I think it has a couple of major issues that would need fixing before I could really recommend it. Depending on your background, these issues may not be a problem for you, in which case you would love it. Please read my review carefully before commenting or rating it, as my reasons for feeling it wasn't as good as it could be may not apply to you. That doesn't make my review unhelpful, it just means that it may not apply to you.

Let me begin by pointing out that my day job consists of pulling data from a database, displaying it on a window, waiting for the user to do something with it and then saving it back to the database. Probably sounds boringly familiar to a lot of us. If so, you need to read this book to realise that some people have fun in their jobs! I read this book thinking, "Why aren't I doing exciting stuff like this?"

So why only three stars, let me explain. The blurb for the book includes the following (incorrect) statement... "If you’re new to F#, this book will give you everything you need to get started." This was one of the reasons I bought it. I have looked at F# before, but never really got to grips with it. This promised to teach it to me, whilst explaining Machine Learning (ML) at the same time. Sadly, the author failed fairly badly at this, which is a shame, as it wouldn't have taken much to include a bit more explanation that would have made the F# code much easier to understand.

As I read the first chapter, I was really excited. It was well explained, and opened my eyes to a whole new world of code that I had never seen. He started off with some code in C#, which was great as it was familiar, then showed the same code in F#, and explained how it worked. At this point, I was ready to give the book a five star review, and rave about how wonderful it was.

As I read the second chapter, I began to have my doubts, as he threw new F# syntax and constructs in, but didn't explain what most of it was, leaving me confused as to what the code was supposed to be doing. This got worse as the book went on, to the point where I started skim-reading the F#, totally defeating the purpose of the book. Sure I could copy and paste his code, but that wouldn't help me understand ML. I want to know what he's doing and why, so I can then write my own code to suit my own situation. Without sufficient explanation of the F#, this was extremely difficult.

He also didn't really explain why F# was any better for this than C#. Other than the type providers, which is a brilliant F# feature, I wouldn't see any reason why I wouldn't do exactly the same in C#. I'm sure F# has many reasons for being more suitable, but this book didn't explain them.

The annoying thing is that the book is pretty slim (less than 300 pages), and it wouldn't have been a problem to add more explanation of the F#. The book could still have been a modest size, but would have been sooooooo much better. Given the high cost of the book for the number of pages, it's actually a bit cheeky that the explanations are so slim.

Now obviously, if you already have a good background in F#, then the comments above won't apply to you, but the book is sold on the promise of teaching you F# as it goes along, and (in my opinion) it fails to do that.

The other major issue with the book is the maths. I was please to discover that ML uses some quite interesting maths, but very frustrated that he didn't explain most of this. Sure you can go off and search around for explanations of the concepts and what they mean, but I don't need to buy a book for that.

Now before anyone jumps in and points out that this isn't a maths book, and it would take too much to explain it all, you're right, but SOME explanation would have made a huge difference. For example, it's pretty easy to look up the definition of eigenvectors and eigenvalues, and find out how to compute them, but I want to know WHY they are useful here, and what they mean. Again, using this sort of thing blindly, without any understanding of what it means is not going to make me an expert in ML. I want to be able to do this stuff on my own, not just copy his code and use it without understanding it.

Again, this issue may not be a problem for you if you are well versed in Bayesian statistics, liner algebra, entropy and various other non-trivial subjects, but as the majority of us are probably not knowledgeable in these areas, we need more explanation to make this book as amazing as it obviously could be.

I feel bad giving the book only three stars, especially as I can't put it down, but I feel it really needs major work before it can be recommended whole heartedly. I hope the author takes these comments in the spirit they were intended, and fleshes out the book for the second edition. If so, this would be a truly brilliant book.

In summary, this book could be a classic. As it is, it's compelling reading, but left me without any confidence that I would apply much of what was presented on my own.

7 of 7 people found the following review helpful.
Great Educational Tool for All Skill Levels
By David
I want to start with this is a fantastic book and should be in every developer's library.

I have made it through most of this book so far and even as a professional developer focused on big data, machine learning and cloud technologies have learned a fair amount from it. I think one of the most important aspects of this book is the progression from simple to sophisticated with a focus on the simplest solution that solves the problem. I sit on the board of a community college and am an adjunct professor as well as industry guest speaker at several Universities. I recommend this book primarily for an intermediate audience, however I will be using it in my introduction to programming classes as well, as I believe with some guidance, this book will spark far more programming discussion and thought than the simpler topics.

The book is complete with functioning code and downloadable data sets; a perfect educational tool.

I know the biggest issue with Amazon reviews is knowing if the reviewer knows what they are talking about, so I will post a link to the website I run and from there you can draw your own conclusions. http://www.indiedevspot.com/

3 of 3 people found the following review helpful.
Great Book
By James Dixon
This is a great book for .NET developers who are interested in a gentile introduction to machine learning. The text is clear, the examples are interesting, and the code is flat out fun to write.

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Senin, 12 Januari 2015

[K772.Ebook] PDF Ebook History of the Empire from the Death of Marcus, by Herodian

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History of the Empire from the Death of Marcus, by Herodian

This is a history of the Roman Empire through the death of Marcus Aurelius

  • Sales Rank: #3481541 in Books
  • Published on: 2015-06-08
  • Dimensions: 9.00" h x .41" w x 6.00" l,
  • Binding: Paperback
  • 178 pages

Most helpful customer reviews

0 of 0 people found the following review helpful.
I recommend it to anyone who is interested in this historical ...
By Daryl Lee Spiewak
The history of the Roman Empire is fascinating to me and so was this book. I recommend it to anyone who is interested in this historical period.

0 of 0 people found the following review helpful.
One Star
By Mike
horribly formatted toc, no zoon

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Minggu, 11 Januari 2015

[C485.Ebook] Fee Download Contexts of Competence: Social and Cultural Considerations in Communicative Language Teaching (Topics in Language and Linguistics) 1990 edi

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Contexts of Competence: Social and Cultural Considerations in Communicative Language Teaching (Topics in Language and Linguistics) 1990 edi

  • Published on: 1707
  • Binding: Hardcover

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Senin, 05 Januari 2015

[Y870.Ebook] PDF Ebook LEGO Star Wars: Chronicles of the Force, by Adam Bray, Cole Horton

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LEGO Star Wars: Chronicles of the Force, by Adam Bray, Cole Horton

Featuring the latest LEGO� Star Wars™ sets and minifigures, LEGO Star Wars: Chronicles of the Force is a fun and informative guide to a LEGO galaxy far, far away. . . .

A must-have for fans of the live-action Star Wars saga and its LEGO incarnation alike, this is the most up-to-date companion to LEGO Star Wars, with detailed information about the latest sets and minifigures and illustrated with extensive photography.

Featuring an exclusive new LEGO Star Wars minifigure, LEGO Star Wars: Chronicles of the Force follows the same format as DK's LEGO Star Wars: The Dark Side and LEGO Star Wars: The Yoda Chronicles.

LEGO, the LEGO logo, the Brick and Knob configurations and the Minifigure are trademarks of the LEGO Group. � 2016 The LEGO Group.
Produced by DK Publishing under license from the LEGO Group.

� & TM 2016 LUCASFILM LTD. Used Under Authorization.

  • Sales Rank: #11558 in Books
  • Published on: 2016-06-07
  • Released on: 2016-06-07
  • Original language: English
  • Number of items: 1
  • Dimensions: 11.06" h x .81" w x 9.25" l, .0 pounds
  • Binding: Hardcover
  • 96 pages

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1 of 1 people found the following review helpful.
Book is great, and the minifigure is. . . . obscure and hardly recognizable but it could be worse
By TheHastyTadpole
The book is great. I love the layout, it's packed with pictures and lots of LEGO and Star Wars facts/information.

The only reason for 4 and not 5 stars is the minifigure. It gets a B. Looks great, but I challenge anyone to recognize this guy with no hints as being from The Force Awakens.

1 of 1 people found the following review helpful.
Very nice book, but to be totally honest just got ...
By GH
Very nice book, but to be totally honest just got it for the mini figure. Is a good addition though to the Star Wars library

1 of 1 people found the following review helpful.
Great photos with a reasonable price
By Rae Tokushige
My son loves Star Wars especially Lego! Great photos with a reasonable price.

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Jumat, 02 Januari 2015

[N314.Ebook] Ebook Proceedings of the Gibbs Symposium, Yale University, May 15-17, 1989, by D. G. Caldi

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Proceedings of the Gibbs Symposium, Yale University, May 15-17, 1989, by D. G. Caldi

This volume, a joint publication with the American Institute of Physics, contains the proceedings of a symposium honoring the memory of Josiah Willard Gibbs, one of the giants of theoretical physics. Three articles provide perspectives on Gibbs, the man, and on the place his work occupies in the history of science. There are also contributions from leading scientists on statistical mechanics, thermodynamics, geophysics, number theory, general relativity, and economics.

  • Sales Rank: #4787857 in Books
  • Published on: 1990-07-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.50" h x 7.25" w x .75" l, 1.69 pounds
  • Binding: Hardcover
  • 321 pages

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Kamis, 01 Januari 2015

[Z799.Ebook] Ebook Download Theological Investigations, Vol. XIII: Theology, Anthropology, Christology, by Karl Rahner

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Theological Investigations, Vol. XIII: Theology, Anthropology, Christology, by Karl Rahner

Theological Investigations, Vol. XIII: Theology, Anthropology, Christology, by Karl Rahner



Theological Investigations, Vol. XIII: Theology, Anthropology, Christology, by Karl Rahner

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Theological Investigations, Vol. XIII: Theology, Anthropology, Christology, by Karl Rahner

The most influential theological writing of the 20th century, in one groundbreaking series.

  • Sales Rank: #2909286 in Books
  • Published on: 1975-07
  • Ingredients: Example Ingredients
  • Number of items: 1
  • Binding: Hardcover

Language Notes
Text: English (translation)
Original Language: German

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Theological Investigations, Vol. XIII: Theology, Anthropology, Christology, by Karl Rahner PDF
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