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Ebook Cooking with Coffee: Brewing Up Sweet and Savory Everyday Dishes, by Brandi Evans
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Cooking with Coffee: Brewing Up Sweet and Savory Everyday Dishes, by Brandi Evans
Ebook Cooking with Coffee: Brewing Up Sweet and Savory Everyday Dishes, by Brandi Evans
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About the Author
Brandi Evans has been creating twists on recipes for her food blog, BranAppetit, since 2009. Born in Virginia, she grew up among seasoned home cooks and a love of food and family. After getting married, she decided she should learn to cook something other than grilled cheese sandwiches. Brandi currently creates new recipes for her food blog and regularly works with national brands for recipe development and testing. She has been featured on The Dr. Oz Show, is a contributor to the Huffington Post food section, and writes for local publications. She resides in Narrows, Virginia.
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Product details
Hardcover: 176 pages
Publisher: Skyhorse (November 3, 2015)
Language: English
ISBN-10: 163450223X
ISBN-13: 978-1634502238
Product Dimensions:
7.2 x 1 x 7.2 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
14 customer reviews
Amazon Best Sellers Rank:
#793,481 in Books (See Top 100 in Books)
This is one of my favorite cookbooks I own. I haven't had the chance to make a whole lot of things from it yet, but what I've made so far has been spectacular. Here's what I've made so far:Homemade Irish Cream: I think this is one of my favorite drinks I've made in my life, and I have now made this recipe three or four times. My boyfriend thought it was too thick, but whatever. You do need to make sure you can stir it thoroughly because it's not so great when you have little chunks of the dry ingredients that didn't get mixed properly. I tried shaking it in a bottle rather than stirring it in a pitcher and that didn't work so well.Mocha icing: It's great but you do want to make sure you don't keep the food topped with it out of the fridge too long.Sweet and Spicy Beef: It's a wonderfully interesting combination of flavors. The first time I made it, it was inedibly spicy, but I have a low spice tolerance. The second time I made it I used half the amount of cracked red pepper and put a shaker of cracked red pepper for people to use if they wanted more spice and that worked out great.Coffee Cocoa Crinkle Cookies: I took these to a potluck and they were very popular. They have a really cool chewy texture. They just happen to be gluten and lactose free without any sacrifices, so that's a plus for some people.Brown Butter Mocha Crisp Bars: These are so wonderful. I've always loved rice krispie treats. These have a bit more of a serious taste to them. You get all the light crunchy sweetness of rice krispie treats but there's the added indulgent taste like dark chocolate.Coffee Granita: Easy to make and I honestly didn't expect the coffee and orange combination to be as good as it was. I topped it with whipped cream and a sprinkle of nutmeg.No-bake Irish Cream Mousse Pie: I will definitely be making this again. Even if you don't like the whole pie, I'm sure just the recipe for the crust could be useful for other purposes.I do wish the savory section had more vegetarian dishes, but maybe there just aren't any vegetarian-type main courses that would taste good with coffee.
In our current world of being able to look up any recipe in seconds on your smartphone, I very rarely buy cookbooks anymore. This is a truly awesome cookbook. Coffee is an item consumed daily by myself and most other people, but this book is well-written and has many different , easy to follow recipes, both sweet and savory, and provides a lot of information that was new and interesting about this well-known product. I made the homemade Kahlua and salted dark chocolate coffee bark as Christmas gifts for co-workers and they were a HUGE hit (as well as very easy to make!) I also love the mocha chip baked oatmeal. I am looking forward to trying more of the recipes.
I received my book today and am SO excited to start making some of these recipes. And although the Salted Toffee Ricotta Toast is on the menu tomorrow morning, I couldn't resist making a very quick Coffee Caramel sauce to put on my scoop of ice cream tonight. A-MAZ-ING! The coffee added a depth to my lovely caramel craving!
I gave Brandi's book to coffee-loving friends for Christmas. Of course I kept one for myself! I love to bake, so I've made several of the recipes, and they've all been delicious. I'm a decaf person and grind my own espresso powder. Varying the coffee flavor gives you a whole new treat. Try the biscotti or scones first. You won't be disappointed !
Love it! Not only does the book have both savory and sweet recipes using coffe there is also excellent narrative regarding coffee and its history.
I love coffee and cooking and this cookbook brings both together. Thanks Brandy for making it so simple and delicious.
Cookbooks are plentiful and every household has at least one stashed away in the kitchen drawers, usually pulled out only when someone in the family feels like being creative. General, comprehensive cookbooks are common, but cookbooks that focus on specific ingredients are often the most fun and a good example is Cooking with Coffee, a guidebook to making beverages and foods enhanced with your favorite roasted brew.I don’t normally cook, but I do like coffee and when I heard about this book, it did pique my interest. The main reason is because, well, I hadn’t heard of a cookbook that focused on coffee as an ingredient. It shouldn’t be surprising that someone thought of this, given the vast number of flavored coffees available. But this is the first one I had ever seen so I took advantaged and accepted an offer to read and review the book.Cooking with Coffee is a nicely illustrated and instructive guide. Almost every recipe includes a full color photograph complete with an introduction to each recipe, a thorough list of ingredients, and easy to follow instructions. The majority of the recipes are simple, but there are some more complicated ones, too. I’m not much of a cook and I love beverages, so the first section to which I turned was the one for drinks and smoothies. Beverages don’t require much culinary skill and are usually easy to make, so this section seemed like the best one for me. And I did find some really good recipes here, like peanut butter mocha smoothies and homemade Irish cream.Looking at the recipes as a whole, you will find that some call for freshly brewed coffee, others call for coffee grounds. It’s up to you to decide which flavor of coffee to use, and this is where the fun comes in. A recipe’s overall taste can change drastically just by switching to a different coffee and when you consider the large number of different flavors and styles of coffee on the market, there is virtually no limit to the number of recipes in this book because most any flavor can be substituted. My peanut butter mocha smoothie, for example, tastes very different when prepared with French roast coffee than it does when prepared using vanilla coffee and this is what keeps a recipe book like this interesting.One thing about this book everyone should know is that it limits itself to sweets, drinks, sauces, and other basics. When I think of how complex and crafted coffee has become, I can’t help but wonder if the author has another book in store, one that focuses on gourmet foods, meat dishes, full meals, etc. Lots of food dishes could be compatible with coffee as an ingredient and it will be interesting to see if the author of this book continues down the java recipe road.Coffee has evolved into an interesting beverage and Cooking with Coffee is a nice way to enjoy your favorite brew in ways you may have never imagined. It’s a good gift for the coffee fiend and it’s a great way to further enjoy the many great taste sensations imparted by adding a good cup of coffee to dessert foods and drinks.Note: I received this product complimentary in exchange for an unbiased review, but I was not compensated in any way.
Well--not so much.
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PDF Ebook R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics)
Locating this R For Everyone: Advanced Analytics And Graphics (Addison-Wesley Data And Analytics) as the best publication really makes you feel eased. Also this is simply a publication; you can locate some benefits that can not be received from any other sources. Satisfying the interested it is sometime really simple, but at some point it requires the huge initiative. As below, prior to discovering this website to get the book, you may really feel so confused. Why? It's due to the fact that you truly require this incredible book to review asap.
R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics)
PDF Ebook R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics)
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About the Author
Jared P. Lander is the owner of Lander Analytics, a statistical consulting firm based in New York City, the organizer of the New York Open Statistical Programming Meetup and an adjunct professor of statistics at Columbia University. He is also a tour guide for Scott’s Pizza Tours and an advisor to Brewla Bars, a gourmet ice pop startup. With an M.A. from Columbia University in statistics, and a B.A. from Muhlenberg College in mathematics, he has experience in both academic research and industry. His work for both large and small organizations spans politics, tech startups, fund raising, music, finance, healthcare and humanitarian relief efforts. He specializes in data management, multilevel models, machine learning, generalized linear models, visualization, data management and statistical computing
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Product details
Series: Addison-Wesley Data and Analytics
Paperback: 464 pages
Publisher: Addison-Wesley Professional; 1 edition (December 29, 2013)
Language: English
ISBN-10: 0321888030
ISBN-13: 978-0321888037
Product Dimensions:
6.9 x 0.9 x 9 inches
Shipping Weight: 1 pounds
Average Customer Review:
4.1 out of 5 stars
97 customer reviews
Amazon Best Sellers Rank:
#507,231 in Books (See Top 100 in Books)
To get the negatives out of the way: it's unfortunate that, having invested in appealing graphic design - the book looks just so much nicer than the spartan O'Reilly titles - Addison Wesley have not provided the author with similarly solid editorial support, resulting in a book that definitely feels rushed. There are typos, cosmetic blemishes (one regular annoyance is a table that's too wide for a page - one could fit it using a smaller font, but instead the table ends up split across twice as many rows), a couple of statistical blunders (on pp. 172 and 263), things that could have been left out, things that should have been included (oddly, the chapter on joins never mentions outer joins, and, in fact, does not explain what a join is) - and, finally, time and again, things that should have been explained better. I do not feel that "R for Everyone" is the best available introduction to R, and continue to endorse Robert Kabacoff's high-quality "R in Action" in that capacity.Where "R for Everyone" differs from "R in Action" - and, coming to the positives, where it wins out - is in intermediate-R territory. One important example is coverage of "ggplot2". Whereas "R in Action" discusses the "old school" R graphics, "R for Everyone" goes with "ggplot2", becoming the second popular book (after Winston Chang's "R Graphics Cookbook") to discuss the package - and although its explanation of "ggplot2" syntax is sketchy, the samples found throughout the book do build into a useful "ggplot2" gallery that actually brought me over the fence. "plyr" package, an important data-manipulation aid, is another example, and another "R in Action" no-show. So is "data.table". So is "knitr", used to produce reports. So is "rcpp", used to interface R and C++. So is R package-building. (You will notice that the topics become more advanced. These are introductions rather than substantial explorations, but awareness is a valuable thing). In the book's second half, when discussion moves from R to statistics-with-R, the author continues to manage to find original material; statistical explanations may be brief - this is not a textbook - but examples, and pointers to useful R utilities, are much appreciated.I own just one R book - literally, "The R Book", by Crawley - but "R for Everyone" will be joining it; this has got to be a compliment. Kudos to Jared Lander for writing an original, substantial, useful book.UPD. It's June 2015, and second edition of Robert Kabacoff's "R in Action" is finally out - but the changes are incremental, and my endorsement of "R for Everyone" stands.
In spite of the good reviews, the reality is very different. This is a bad R book with many shortcomings that range from bad explanations of the basics (functions, data types) to no explanation at all when showing the use of R in data analysis.The book has a nice layout in color, but this is misleading. Long R output without proper formatting for a textbook is always displayed because the author wrote the book directly in the code as he himself states and printed it out as it is. And it feels like. Most of the text looks just like comments in a program code. The treatment of functions is very poor (they are also very rarely used in the book) and the explanation of the different R data types lacks depth and is misguided. Silly examples are used to show the basics as in printing the author's name. The later chapters get even worse, literally damaging all the more interesting parts, where the book leaves the very basics and moves on to data handling and then to advanced data analytics in R.The part of the book that deals with data analytics is sincerely a bit of a tragedy. Rushed text with no clear or sometimes whatsoever explanations of what is actually being done, with just little text and lots of code output and charts taking most of the space. Ironically the book that is "for everyone" makes hard for "everyone" to understand anything that uses statistics, about 60% of the book!.It is harder even for those trained on statistics or related "hard" sciences.For example, In chapter 22, right in the beginning the author uses a value for the predicted number of clusters in the data under analysis. This value is taken out of the blue and only later it is shown how this value can be found using two methods. The first method doesn’t bring any useful value (and you wonder why it is shown). The second method does bring a good value but it is not explained in the text how this method's results should be interpreted to determine this value. Apart from two rushed sentences that speak of a standard deviation being used, whatever this standard deviation is coming from as the author says nothing about the algorithm clusGap that he used for such. I did some research and found out that the author's LiveLesson video course, that follows the book almost page by page, does mention, albeit quickly, how to interpret the second method’s result above. But not in his book… Unfortunately this video course also suffers from the same problems that the book does, as it is mostly a live reading of the book with the author typing the code.In fact, almost anything related to data analytics is very poorly explained, if at all. Another example, out of many, is the section 20.3 on Generalized Adaptive Models. After preprocessing the raw data used for the analysis, a few charts are displayed (without much explanation of the code used for which) and then the data analysis code output is shown without any explanation. Two features of the data, CreditAmount and Age, are displayed in charts where they are smoothed, but there is no explanation about what for. And the analysis stops right there without any further explanation. What could be said in a few sentences is left out.Most of the data analytics examples also show very poor performance, leading the user to think why data analysis is used if it performs so badly and, if it performs well, why the author didn’t select any better example.There are also many pedagogical errors, minor and major ones. I will just mention a few taken from chapter 12 as an example:1) Many variables are created with the function assign in a loop but actually only two of them are used. What for? On top of it, the same loop is coded again later with just a different variable name.2) The function merge is used with the same column names, although the author states that “the ability to specify different column names (..) is the most useful feature of merge†before doing so with the function join from the library plyr. Then you wonder what difference is being shown.3) It gets worse. In a rather convoluted way to show how to merge different data frames, the author introduces two new features of R, eval and parse, just by passing and without any specific examples or further explanation. In this same convoluted example the author also uses the R function Reduce in the most complicated way with the dots, without first showing simple examples and what it is for. Only then later down in the text he goes on to explain what Reduce does but fails to mention that it can only be applied to binary functions. The text states that “Reduce can be a difficult function to graspâ€. If it is, it would deserve a better treatment, not as a side note, explained in an example that is related to something else (how to merge data frames). It should also have a full explanation of how it can be used.R is a beautiful language that can be well explained. It is not hard to show its power in data analysis with short but clear explanations. It’s regrettable that this book misses its stated goals so badly, when it could have done otherwise brilliantly, as its author seems capable to do a much better job. So I can't recommend this book. There is actually a shortage of good R books in the market, but "R in Action" (second edition is coming), "The Art of R Programming" and "The R Book" are much superior choices.
I was quite disappointed with this book. I'm not entirely new to R, but I've never gone through any sort of well-rounded text so I thought this would be the best option. wanted a combo of graphics and getting to know commonly used packages. This does offer that BUTmany of the data sets the author references are not available where he references them. And others have very long and silly column names, which makes writing out code needlessly complicated. Worse still is when the column names don't match the book - this book is brand new so the columns should match. When they don't match, it makes a lot of unnecessary busy work matching up the author's terms with the actual data set. D for effort. These mistakes would have been easy to catch and clean up.
Very basic. this is good for those people who are absolutely new to R. but if you are someone who has already done some reading up on R then this is really too basic.I had already done the MOOC for R at courseera and was looking for something which will take me further from that... but this is not the book for that.
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