[S664.Ebook] PDF Ebook Practical Node.js: Building Real-World Scalable Web Apps, by Azat Mardan

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Practical Node.js is your step-by-step guide to learning how to build a wide range of scalable real-world web applications using a professional development toolkit. Node.js is an innovative and highly efficient platform for creating web services. But Node.js doesn't live in a vacuum! In a modern web development, many different components need to be put together — routing, database driver, ORM, session management, OAuth, HTML template engine, CSS compiler and many more.

If you already know the basics of Node.js, now is the time to discover how to bring it to production level by leveraging its vast ecosystem of packages. As a web developer, you'll work with a varied collection of standards and frameworks - Practical Node.js shows you how all those pieces fit together.

Practical Node.js takes you from installing all the necessary modules to writing full-stack web applications by harnessing the power of the Express.js and Hapi frameworks, the MongoDB database with Mongoskin and Mongoose, Jade and Handlebars template engines, Stylus and LESS CSS languages, OAuth and Everyauth libraries, and the Socket.IO and Derby libraries, and everything in between. The book also covers how to deploy to Heroku and AWS, daemonize apps, and write REST APIs. You'll build full-stack real-world Node.js apps from scratch, and also discover how to write your own Node.js modules and publish them on NPM. You already know what Node.js is; now learn what you can do with it and how far you can take it!

• Sales Rank: #363246 in Books
• Brand: Mardan Azat
• Published on: 2014-07-11
• Released on: 2014-07-11
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .68" w x 7.50" l,
• Binding: Paperback
• 300 pages

Features

• Practical Node Js Building Real World Scalable Web Apps

About the Author
Azat Mardan has over 12 years of experience in web, mobile and software development. With a Bachelor's Degree in Informatics and a Master of Science in Information Systems Technology degree, Azat possesses deep academic knowledge as well as extensive practical experience.Currently Azat works as an engineer at the curated social media news aggregator website Storify.com. He teaches technical classes at General Assembly San Francisco and Hack Reactor to much acclaim. In his spare time, Azat writes about technology on his blog webAppLog.com. He is also an author of artisanal book Rapid Prototyping with JS: Agile JavaScript Development.Previously, Azat has worked as a CTO/co-founder at Gizmo, an enterprise cloud platform for mobile marketing campaigns, and has undertaken the prestigious 500 Startups business accelerator program. Prior to this, Azat was developing mission-critical applications for government agencies in Washington, DC, including the National Institutes of Health, the National Center for Biotechnology Information, and the Federal Deposit Insurance Corporation, as well as Lockheed Martin.Azat is a frequent attendee at Bay Area tech meet-ups and hackathons (StartupBus 2013, AngelHack hackathon 12 finalist with team FashionMetric.com).

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2 of 2 people found the following review helpful.
Not perfect, but still very valuable
By The Germ
This is the very first book that I read about the MEAN stack. I have now read 2 other extensive books on the subject and I will share my impressions about this book, Practical Node.js, by Azat Mardan :à

First of all, Node.js and the other JavaScript-based technologies that have emerged in the last few years have evolved and changed quite rapidly so you have to judge this book for its relevance at a specific moment in time, i.e. when it was written. In that context, I think that this is a good book, for a couple of reasons :

- The author (Azat Mardan) knows the MEAN stack very well. He seems to have some real-world experience with these technologies.

- Azat's experience with the MEAN stack has given him some insight about them. I have tried several of the relative technologies to the MEAN stack like different template engines (Jade, Handlebars, EJS, ...), different Express middleware, different database solutions/session stores (mongoDB, Redis, ...). I can say that Azat's recommendations about which of these technologies you should consider in various developement scenarios are spot on. To me, what he recommends and his choice of complementary technologies for your Node.js/MEAN projects are excellent recommendations. In my own experience, I ended up trying different options and ended up choosing pretty much the same technologies recommended in this book. Like I said, I have read other books on Node.js/MEAN and this is not always the case.

- The book directs you towards different resources for further reading/exploring of subjects covered in the book or not covered but worth knowing about.

Now, what makes this book imperfect is mainly that it seems to have lacked careful editorial reviewing before being put on the market. There are some holes here and there when you read the book. This has been mentioned by other reviewers. This is a little frustrating but in my case it happened maybe 2 or 3 times during my reading. I was reading and then suddenly : "Hey, how did we get to this code from the last code example ?". It seems like the author has jumped or omitted some transitional paragraphs here and there. But we have to keep in mind that this is a book about some fast-changing open-source technologies and the author has to get it out quickly, otherwise it becomes outdated by the time it gets published. And as far as I know, when this book came out on the market, there was pretty much nothing else that covered as much of these topics. So it was still highly valuable, even with its imperfections.

I have not mentioned the topics of mongoDB and angularJS in my review because I have learned these from other sources. I have read these chapters quickly but I can say that if you're serious about using these technologies in your stack, you will need to complement the info provided in this book with some more in-depth books/online tutorials/... Again, Azat Mardan shares some good insights about how to use these in your projects, whether you should use mongoskin or mongoose with mongoDB, etc. But these topics simply have too much scope to be covered extensively in this book.

Overall, I think that this book is still valuable today. It has certainly help me. We keep an eye on the io.js project that seems promising but it's not ready for production yet. So at this point in time, Node.js and the MEAN stack is a great option for some projects and this book will get you started fast. My recommendation is that you buy this book and one or two other books on the MEAN stack at the same time. This has worked well for me because you can compare the different approaches from the authors. You can also read on a single topic across your 2-3 books and some info will be complementary. With books like this one and others on open-source tech, spreading your reading between different books helps you gain a better perspective on the topics.

1 of 1 people found the following review helpful.
Four Stars
By Daniel Thompson
It's a good practical book about Node.js and some of the frameworks you'll use when you develop using it.

4 of 5 people found the following review helpful.
Great, but be prepared for a few potholes
By joel kraft
There are two versions of this book to consider. The book itself and what the book aspires to be. I love the latter, it's so full of energy and ideas about the use of express & node. It walks you through several example apps to illustrate various features & libraries, and throws a lot of resources at you to build your knowledge even further.

The other book, the one you will read, is full of typos and incomplete thoughts, so that following along can be a significant challenge. In a way you could view this as a positive, because it forces you to dig deeper into the online documentation to repair the text as you read, fortifying your knowledge even more. Then because of the many precedents for mistakes, there are an equal number of spots that I mistook for mistakes, but were in fact accurate. All these 'parsing errors' result in some lost efficiency.

Overall, it seems to me that these technologies are moving so fast that a snapshot such as this, while blurry, may be a trade off between clarity and relevance. While I wish it was a little more carefully proofread, I'd still say it offers a considerable amount of insight into the tools in its scope.

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"I've experienced a whole lot the last few years, and I have a lot to share. So I hope that you'll take a moment to sit back, relax, and enjoy the words I've put together for you in this book. I think you'll find I've left no stone unturned, no door unopened, no window unbroken, no rug unvacuumed, no ivories untickled. What I'm saying is, let us begin, shall we?"
---Ellen DeGeneres

• Sales Rank: #932 in Audible
• Published on: 2011-10-04
• Format: Unabridged
• Original language: English
• Running time: 187 minutes

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263 of 279 people found the following review helpful.
A trip to a better world...amazing!
By galaxi21
Reading this book is like traveling to some beautiful alternative universe where people are kind, love is everywhere, and life is good. It's more than just a "funny" book. It's a complete experience of another, nicer and more intelligent way to view the world.

I felt different after I read this book. Smarter. Nicer. Stronger. Happier. The world looked a little bit different. And I felt better about everything. (And I was happy already).

But the book is not only uplifting and empowering. It is hilariously funny! Much funnier than her previous two books. They were light time passers. Good for a chuckle. But Ellen has matured since then. And this book is at a higher level in all departments. I found myself laughing constantly at how clever something was. And I rarely find a book laugh out loud funny. But this one certainly is.

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141 of 151 people found the following review helpful.
Leave it to Ellen to make the Audiobook Different than the print edition.....
By Steve Ramm
This is the third book for comedian/talk show host Ellen Degeneres and, if ever there was a book that should be "read by the author", it's one by Ellen. She honed her craft of comedy by doing "stand-up" and she actually "performs" the audio version, more than just reading it. Ellen talks fast and so the 3 hours on the three CDs literally fly by! And the words aren't all the same as the print edition (which I also read through). She re-wrote parts of it to "talk to - you - the listener" and even adds a chapter (Chapter 29) just for the audiobook. Speaking of chapters, the print edition does not have numbered chapters for these short essays. But Ellen announces a number before each one. Since I started with the audio version first, I wondered - when I got to the chapter titled "Meditation", which contains 20 seconds or so of silence - how she'd deal with this in the print edition. So I looked and there were three blank pages. The reverse holds true for the chapter titled "For the Children" where there are full-page illustrations to color. For the audiobook, Ellen tells the listener that there is a .pdf file on the CD with the illustrations - though I haven't checked that out yet.

The print edition is 240 pages with short chapters and plenty of space between the lines so you can easily pick it up and put it down as time permits. These are short essays of observations on everything from being judge on American Idol to being married to her wife Portia. Either format will entertain you - it did me - if you are an Ellen fan (I am). The Print version allows you to go back and read - or share - a special chapter., while the audio version allows you to hear her voice and timing.

Steve Ramm
"Anything Phonographic"

77 of 85 people found the following review helpful.
Laugh out Loud funny
By ckb
I don't normally write reviews but I had to review this book because I love Ellen and love this book and want it to be successful for her! Funniest most witty book I have read in a long time. You really have to know and appreciate Ellen's humor to read and understand this book. It very much reminds me of her stand up comedy dvd "here and now". It is a lot of the same humor and I can literally hear her voice and how she says things while I am reading this book. This book is not only hysterical but it also has really wonderful words of wisdom in it. She brings you back to a much simpler time and makes you realize how ridiculous life has gotten with laziness, busy-ness, and technology to name a few. I read this book in a day and it was amazing from the first word to the last.

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• Sales Rank: #2336716 in Books
• Published on: 2003-11-18
• Original language: English
• Number of items: 1
• Dimensions: .0" h x .0" w x .0" l, .0 pounds
• Binding: Spiral-bound
• 538 pages

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NEW YORK TIMES BESTSELLER

Finally together in one volume, the first three books in the world's most beloved science fiction series, THE DRAGONRIDERS OF PERN, by Anne McCaffrey, one of the great science fiction writers of all time: DRAGONFLIGHT, DRAGONQUEST, THE WHITE DRAGON. Those who know these extraordinary tales will be able to re-visit with Lessa, F'lar, Ruth, Lord Jaxon, and all the others. And for those just discovering this magical place, there are incomparable tales of danger, deceit, and daring, just waiting to be explored..

• Sales Rank: #22175 in Books
• Brand: Fantasy Novels Del Rey Books
• Published on: 1988-10-12
• Released on: 1988-10-12
• Original language: English
• Number of items: 1
• Dimensions: 9.20" h x 1.40" w x 6.20" l, 1.78 pounds
• Binding: Paperback
• 832 pages

Amazon.com Review
Anne McCaffrey's Pern is one of the most memorable worlds in science fiction and fantasy. Humans and their flying dragon companions live in fear of thread, a caustic, deadly material that falls sporadically from space. But when the thread doesn't fall for a long time, people become complacent, forgetting that it is the brave dragonriders who can save them from the periodic threat. But when the thread falls, human and dragon heroes must fight the scourge. This edition encompasses the first three unforgettable novels of McCaffrey's epic series: Dragonflight, Dragonquest, and The White Dragon.

From the Inside Flap
Finally together in one volume, the first three books in the world's most beloved science fiction series, THE DRAGONRIDERS OF PERN, by Anne McCaffrey, one of the great science fiction writers of all time: DRAGONFLIGHT, DRAGONQUEST, THE WHITE DRAGON. Those who know these extraordinary tales will be able to re-visit with Lessa, F'lar, Ruth, Lord Jaxon, and all the others. And for those just discovering this magical place, there are incomparable tales of danger, deceit, and daring, just waiting to be explored..

About the Author
Anne McCaffrey, one of the world’s most popular authors, is best known for her Dragonriders of Pern� series. She was the first woman to win the two top prizes for science fiction writing, the Hugo and Nebula awards. She was also given the American Library Association’s Margaret A. Edwards Award for Lifetime Literary Achievement in Young Adult Fiction, was inducted into the Science Fiction Hall of Fame, and was named a Science Fiction Writers of America Nebula Grand Master. Born in Cambridge, Massachusetts, in 1926, McCaffrey relocated to Ireland in the 1970s, where she lived in a house of her own design, named Dragonhold-Underhill. She died in 2011.


From the eBook edition.

Most helpful customer reviews

282 of 283 people found the following review helpful.
Dragonriders of Pern (Kindle Edition)
By Naulite
First, I'd like to say that I love these books. I re-read them ever couple years and it's a fresh story with new meaning each time. For me it's a timeless series.

I offer many thanks to Anne MaCaffery and her son Todd McCaffery who has picked up the reins of story telling with the Realms of Pern.

As for the Kindle Edition of this book, I am sorely disappointed in the typographical errors. In a time when we have simple spell checking on just about every application we use, it's depressing to see this digital media plagued with such inconsideration for the reader.

The spelling of the character names are misspelled, sometimes from paragraph to paragraph. There are major typographical mistakes in connection words that require the reader to read, and then re-read the entire sentence to discern the actual word intended as different words could change then entire feel and meaning of the sentence.

Paying roughly the same for this Kindle Edition as I would for a new mass-market paperback, I question why anyone would pay full price when a print copy can be acquired, used, at a faction of the cost.

The Kindle Edition is a sad disservice to the readers and fans of Anne McCaffery.

Del Rey and Random House Digital should be ashamed of themselves for releasing such a poor quality product!!

486 of 500 people found the following review helpful.
EXCELLENT STORY, HORRIBLE EDITION
By Nathan
In The Dragonriders of Pern, Anne McCaffrey creates a stunning and richly detailed world. It's clear on reading these stories that they are very dear to McCaffrey's heart. Her blend of science, music and human drama are supported by a wholly believable mythology which bridges the gap between our earth and Pern.
Unfortunately, this edition was hastily thrown together without any regard for the author's hard work. On seemingly every page there are typographical errors so severe that McCaffrey's spell is broken. Character names constantly shift spelling. Words are misspelled, mixed up and changed to the point that the prose completely falls apart. At times geographic locations on Pern are switched with character names...this is a work of Science Fiction/Fantasy but when the place where you live starts talking all believability goes out the window. The sloppy editing of the edition was so bad I ended up buying individual copies of Dragonflight, Dragonquest and The White Dragon. I noticed none of the errors I saw in the three-in-one volume.
I highly recommend reading Dragonflight, Dragonquest, and The White Dragon, but save yourself the confusion and disappointment of this three-in-one edition. Buy each separately.

37 of 37 people found the following review helpful.
Read the reviews first
By C. Brown
This is the first book I bought on my kindle and I was sorely disappointed in this version of the books. There were many errors in all three books and it left so many plots unexplained. I ended up buying the full versions of the original books and wish I hadn't wasted my money on this one.

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• Sales Rank: #4847040 in Books
• Published on: 2015-07-05
• Released on: 2015-07-05
• Original language: English
• Number of items: 1
• Dimensions: 9.00" h x .88" w x 6.00" l, 1.14 pounds
• Binding: Paperback
• 352 pages

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• Sales Rank: #1364446 in eBooks
• Published on: 2016-01-11
• Released on: 2016-01-11
• Format: Kindle eBook

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0 of 0 people found the following review helpful.
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By Lesley Galpin
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0 of 0 people found the following review helpful.
Would not recommend
By Amazon Customer
This book was dissapointing, not at all what I expected. I would not recommend. Expected more for the cost.

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The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering. This book bridges the gap between these disciplines, offering the latest information on key topics including characterizing statistical dependence and correlation in high dimensions, constructing effective and robust risk measures, and their use in portfolio optimization and rebalancing. The book focuses on signal processing approaches to model return, momentum, and mean reversion, addressing theoretical and implementation aspects. It highlights the connections between portfolio theory, sparse learning and compressed sensing, sparse eigen-portfolios, robust optimization, non-Gaussian data-driven risk measures, graphical models, causal analysis through temporal-causal modeling, and large-scale copula-based approaches.

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• Highlights signal processing and machine learning as key approaches to quantitative finance.
• Offers advanced mathematical tools for high-dimensional portfolio construction, monitoring, and post-trade analysis problems.
• Presents portfolio theory, sparse learning and compressed sensing, sparsity methods for investment portfolios. including eigen-portfolios, model return, momentum, mean reversion and non-Gaussian data-driven risk measures with real-world applications of these techniques.
• Includes contributions from leading researchers and practitioners in both the signal and information processing communities, and the quantitative finance community.

• Sales Rank: #1279558 in Books
• Published on: 2016-05-31
• Original language: English
• Dimensions: 9.90" h x .80" w x 6.90" l, .0 pounds
• Binding: Hardcover
• 320 pages

From the Back Cover
The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering. This book bridges the gap between these disciplines, offering the latest information on key topics including characterizing statistical dependence and correlation in high dimensions, constructing effective and robust risk measures, and their use in portfolio optimization and rebalancing. The book focuses on signal processing approaches to model return, momentum, and mean reversion, addressing theoretical and implementation aspects. It highlights the connections between portfolio theory, sparse learning and compressed sensing, sparse eigen-portfolios, robust optimization, non-Gaussian data-driven risk measures, graphical models, causal analysis through temporal-causal modeling, and large-scale copula-based approaches.

Key features:

• Highlights signal processing and machine learning as key approaches to quantitative finance.
• Offers advanced mathematical tools for high-dimensional portfolio construction, monitoring, and post-trade analysis problems.
• Presents portfolio theory, sparse learning and compressed sensing, sparsity methods for investment portfolios. including eigen-portfolios, model return, momentum, mean reversion and non-Gaussian data-driven risk measures with real-world applications of these techniques.
• Includes contributions from leading researchers and practitioners in both the signal and information processing communities, and the quantitative finance community.

About the Author
Ali N. Akansu, Electrical and Computer Engineering Department, New Jersey Institute of Technology (NJIT), USA
Dr. Akansu is a Professor of Electrical and Computer Engineering at NJIT, USA. Prof. Akansu was VP R&D at IDT Corporation and the founding President and CEO of PixWave, Inc. He has sat on the board of an investment fund and has been an academic visitor at David Sarnoff Research Center, IBM T.J. Watson Research Center, and GEC-Marconi Electronic Systems.Prof. Akansu was a Visiting Professor at Courant Institute of Mathematical Sciences of New York University performing research on Quantitative Finance. He is a Fellow of the IEEE and was the Lead Guest Editor of the recent special issue of IEEE Journal of Selected Topics in Signal Processing on Signal Processing Methods in Finance and Electronic Trading.

Sanjeev R. Kulkarni, Department of Electrical Engineering, Princeton University, USA
Dr. Kulkarni is currently Professor of Electrical Engineering at Princeton University, and Director of Princeton’s Keller Center. He is an affiliated faculty member of the Department of Operations Research and Financial Engineering and the Department of Philosophy, and has taught a broad range of courses across a number of departments (Electrical Engineering, Computer Science, Philosophy, and Operations Research & Financial Engineering). He has received 7 E-Council Excellence in Teaching Awards. He spent 1998 with Susquehanna International Group and was a regular consultant there from 1997 to 2001, working on statistical arbitrage and analysis of firm-wide stock trading. Prof. Kulkarni is a Fellow of the IEEE.

Dmitry Malioutev, IBM Research, USA
Dr. Dmitry Malioutov is a research staff member in the machine learning group of the Cognitive Algorithms department at IBM Research. Dmitry received the Ph.D. and the S.M. degrees in Electrical Engineering and Computer Science from MIT where he was part of the Laboratory for Information and Decision Systems. Prior to joining IBM, Dmitry had spent several years as an applied researcher in high-frequency trading in DRW Trading, Chicago, and as a postdoctoral researcher in Microsoft Research, Cambridge, UK. His research interests include interpretable machine learning; sparse signal representation; inference and learning in graphical models, message passing algorithms; Statistical risk modeling, robust covariance estimation; portfolio optimization. Dr. Malioutov received the 2010 IEEE Signal Processing Society best 5-year paper award, and a 2006 IEEE ICASSP student paper award, and the MIT Presidential fellowship. Dr. Malioutov serves on the IEEE-SPS machine learning for signal processing technical committee, and is an associate editor of the IEEE Transactions on Signal Processing, and a guest editor of the IEEE Journal on Selected Topics in Signal Processing.

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1 of 1 people found the following review helpful.
some interesting chapters
By Gingerbread
I really enjoyed the chapter on sparse markowitz portfolios, on statistical measures of dependence, and connections between cVaR risk and support vector machines. Some chapters are well written and others are harder to read -- but most of the topics are interesting and go beyond the standard material in quant books. Note that the book is a collection of contributed chapters, not a textbook.

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