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Sabtu, 30 Oktober 2010

Oktober 30, 2010 Posted by sammistuartmaxwellpaget No comments Posted in

Free PDF , by Jeni Britton Bauer

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Product details

File Size: 10410 KB

Print Length: 217 pages

Publisher: Artisan (November 15, 2011)

Publication Date: November 15, 2011

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B00DE0WMYK

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Amazon Best Sellers Rank:

#194,716 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

This book is great, but I was concerned when I saw mention of errors in recipes. Since the ingredient ratio in ice cream recipes is critical for proper freezing, I looked high and low and located the errata list that has since been removed from the website. Hope this helps everyone enjoy their Jeni's Ice Cream at home experience more.p. 10Following “Cook” under bottom two photos, third sentence changed from “Turn off the heat and add the cornstarch slurry to the ice cream base in the pan” to “Turn off the heat and whisk in the cornstarch slurry.” Sentence added: “Return to a boil to slightly thicken.”*** AND Jeni answers this question:“Am I supposed to stir the milk mixture during the 4-minute boil, or am I to leave it to boil without stirring?”ANSWER: Keep agitating/stirring the mixture while you incorporate. If you don't stir briskly, you will get a film on the bottom of the pan and the slurry may get clumpy.If you just added the cornstarch without making a slurry, then it will form blobs as noted above.Just take it off the heat, drizzle the slurry in while whisking, then return to heat (stirring) and bring to a boil. Let it roll for about one minute.p. 11First line under top row of photos, following “Chill”: “Incorporate the hot cream” changed to “Whisk the hot milk”p. 17First column, line 26: “dry it,” added after “wash the canister” (“immediately wash the canister, dry it, and stick it back into the freezer”)p. 103Following run-in head “Chill”: “Add the vanilla and whisk.” added after first sentence (“Gradually whisk the hot milk mixture into the cream cheese until smooth. Add the vanilla and whisk. Pour the mixture into a 1-gallon Ziploc freezer bag and submerge the sealed bag in the ice bath.”)p. 156Ingredients list: “¼ cup heavy cream” changed to “1¼ cups heavy cream”p. 158Ingredients list: “¼ cup heavy cream” changed to “1¼ cups heavy cream”p. 197Vanilla Bean Marshmallows, ingredients list: “½ cup cold water” changed to “1 cup cold water”; first step: “¼ cup of the water” changed to “½ cup of the water”; step two: “¼ cup water” changed to “½ cup water”p. 200Caramelized White Chocolate Bombe Shell, ingredients list: “1/3 cup refined coconut oil” changed to“½ cup refined coconut oil”p. 201Praline Sauce, ingredients list: “1 cup heavy cream” to be changed to “2 cups heavy cream”

Since buying this book, I've tried four of Jeni's recipes: Goat Cheese and Roasted Cherries, Salty Caramel, Darkest Chocolate Ice Cream in the World, and Buckeye State. Perfect results with all of them! Just follow the recipe, and you really will get Jeni's Splendid Ice Cream at Home.Before getting started, I'd recommend reading the first chapter of the book with Jeni's notes, tips, and explanation of the science behind making a great ice cream. As far as equipment goes, you'll need an electric ice cream machine (Jeni uses the Cuisinart Ice-20), whisk, 4-quart or larger pot, 2-3 mixing bowls, gallon size ziploc bags, ice cream storage container, parchment paper, and a big bowl for creating an ice bath. Other tools that comes in handy: a knife for chopping up larger ingredients, cherry pitter if you plan on making anything with cherries in it, digital kitchen scale, and double boiler for melting chocolate. You'll want an extra freezing canister if you plan on making more than one batch a day. For cooking the ice cream mixture, Jeni recommends a 4 quart pot, but I've been using a 6-quart stock pot and couldn't imagine anything smaller. When boiling your cream mixture, it could easily boil over, if your pot isn't big enough.Basic Ice Cream Ingredients: you'll need heavy cream, whole milk, cornstarch or tapioca starch, sugar, salt, cream cheese, and light corn syrup/glucose syrup. Each recipe will also call for different additional ingredients like vanilla extract or beans, chocolate, natural peanut butter, spices, honey, nuts, liquor, etc. As with all cooking, the better the ingredients: the better the product. Buy organic ingredients and non-homogenized dairy products if you can, and splurge on the "good" chocolate...all this effort deserves the good chocolate!Ice Cream Storage: I have tried three different storage methods. Reusable gladware/tupperware containers are ok, but I had a couple crack and shatter after freezing, leaving all the ice cream exposed to air. Specialty containers like the ones sold at designer kitchen supply stores are good, but I didn't want to spend $35 on a container, especially when I like to keep several flavors on hand. My favorite containers have been the disposable cardboard containers by Sweet Bliss. The Plain White Quart Size Frozen Dessert Containers fit one Jeni's recipe, or you can divide it between 2-3 Pint sized containers. Great for home storage and transporting (in an iced cooler).It's been a blast to make all these great recipes, and I fully intend on cooking my way through this whole book! The recipes are well written and easy to follow. The photography is beautiful, and you get a good feel of what the finished ice cream is supposed to look like. Jeni lists her preferred suppliers if you want to use the exact same ingredients (I've found similar replacements at Whole Foods or the local farmers market).One note: the "Salty Caramel" recipe has one small typo. The ingredient list calls for vanilla, but it's not listed in the recipe instructions. I added it at the end before mixing the cream mixture with the cream cheese mixture.7/9/11 - One more note: there is another typo in The Milkiest Chocolate Ice Cream in the World recipe. It should read 1.25 cups of heavy cream instead of just 0.25 cups of heavy cream. I've heard that these typos will be fixed in the second edition which will be printing soon!

Five stars for Jeni and her wonderful recipes that give home made ice cream that ice cream parlor texture and for her unusual flavors. She deserves 500 stars for that.HOWEVER, the person who designed the book is either an imbecile or hates people who cook. The ingredient lists are in low contrast, pastel colors that can barely be read against the shiny white paper. All the text is in a sans serif font, which is more difficult to read than a font with serifs. And much of the text is in grey instead of black, that also makes the text difficult to read. And tiny. Really tiny. Does the person who designed the book realize people who cook like to keep cookbooks a distance from what they are cooking to prevent damage to the pages? Such distance requires large, legible text that is easy to read instead of pale, thin colored letters that require one to hold a book with sticky hands and squint. Such a pity.Kudos to Jeni for her fine work, but I hope the book designer gets fired for not understanding that the minimum requirement of book design is to make the text legible.

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Senin, 25 Oktober 2010

Oktober 25, 2010 Posted by sammistuartmaxwellpaget No comments Posted in

PDF Download , by Cathy O'Neil

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Product details

File Size: 3104 KB

Print Length: 254 pages

Publisher: Broadway Books; Reprint edition (September 6, 2016)

Publication Date: September 6, 2016

Sold by: Random House LLC

Language: English

ASIN: B019B6VCLO

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Amazon Best Sellers Rank:

#34,237 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

Weapons of Math Destruction by Cathy O'Neil puts advanced mathematics and social analysis together to show how big data runs much of the world. It explores the connections between consumer marketing and politics, housing units and credit reports and many other topics that most people do not think about but that lurk behind the scenes.The book is divided into chapters that cover major topics such as getting a job, buying a house and getting justice in the criminal justice system. There is both history and up-to-date information in every chapter. She also provides dozens of examples of how big data is screwing over the everyday person, making it difficult just to eke out a living.After reading this book, you may feel a bit paranoid if you were not already slightly paranoid about your personal information and the data collection that takes place every time you fire up your internet browser, make a purchase with a loyalty card or walk through a place with cameras.Disclaimer: I received a free copy of this book from the publisher in exchange for writing an honest review. I did not receive any other compensation.

So here you are on Amazon's web page, reading about Cathy O'Neil's new book, Weapons of Math Destruction. Amazon hopes you buy the book (and so do I, it's great!). But Amazon also hopes it can sell you some other books while you're here. That's why, in a prominent place on the page, you see a section entitled:Customers Who Bought This Item Also BoughtThis section is Amazon's way of using what it knows -- which book you're looking at, and sales data collected across all its customers -- to recommend other books that you might be interested in. It's a very simple, and successful, example of a predictive model: data goes in, some computation happens, a prediction comes out. What makes this a good model? Here are a few things:1. It uses relevant input data.The goal is to get people to buy books, and the input to the model is what books people buy. You can't expect to get much more relevant than that.2. It's transparent. You know exactly why the site is showing you these particular books, and if the system recommends a book you didn't expect, you have a pretty good idea why. That means you can make an informed decision about whether or not to trust the recommendation.3. There's a clear measure of success and an embedded feedback mechanism. Amazon wants to sell books. The model succeeds if people click on the books they're shown, and, ultimately, if they buy more books, both of which are easy to measure. If clicks on or sales of related items go down, Amazon will know, and can investigate and adjust the model accordingly.Weapons of Math Destruction reviews, in an accessible, non-technical way, what makes models effective -- or not. The emphasis, as you might guess from the title, is on models with problems. The book highlights many important ideas; here are just a few:1. Models are more than just math. Take a look at Amazon's model above: while there are calculations (simple ones) embedded, it's people who decide what data to use, how to use it, and how to measure success. Math is not a final arbiter, but a tool to express, in a scalable (i.e., computable) way, the values that people explicitly decide to emphasize. Cathy says that "models are opinions expressed in mathematics" (or computer code). She highlights that when we evaluate teachers based on students' test scores, or assess someone's insurability as a driver based on their credit record, we are expressing opinions: that a successful teacher should boost test scores, or that responsible bill-payers are more likely to be responsible drivers.2. Replacing what you really care about with what you can easily get your hands on can get you in trouble. In Amazon's recommendation model, we want to predict book sales, and we can use book sales as inputs; that's a good thing. But what if you can't directly measure what you're interested in? In the early 1980's, the magazine US News wanted to report on college quality. Unable to measure quality directly, the magazine built a model based on proxies, primarily outward markers of success, like selectivity and alumni giving. Predictably, college administrators, eager to boost their ratings, focused on these markers rather than on education quality itself. For example, to boost selectivity, they encouraged more students, even unqualified ones, to apply. This is an example of gaming the model.3. Historical data is stuck in the past. Typically, predictive models use past history to predict future behavior. This can be problematic when part of the intention of the model is to break with the past. To take a very simple example, imagine that Cathy is about to publish a sequel to Weapons of Math Destruction. If Amazon uses only purchase data, the Customers Who Bought This Also Bought list would completely miss the connection between the original and the sequel. This means that if we don't want the future to look just like the past, our models need to use more than just history as inputs. A chapter about predictive models in hiring is largely devoted to this idea. A company may think that its past, subjective hiring system overlooks qualified candidates, but if it replaces the HR department with a model that sifts through resumes based only on the records of past hires, it may just be codifying (pun intended) past practice. A related idea is that, in this case, rather than adding objectivity, the model becomes a shield that hides discrimination. This takes us back to Models are more than just math and also leads to the next point:4. Transparency matters! If a book you didn't expect shows up on The Customers Who Bought This Also Bought list, it's pretty easy for Amazon to check if it really belongs there. The model is pretty easy to understand and audit, which builds confidence and also decreases the likelihood that it gets used to obfuscate. An example of a very different story is the value added model for teachers, which evaluates teachers through their students' standardized test scores. Among its other drawbacks, this model is especially opaque in practice, both because of its complexity and because many implementations are built by outsiders. Models need to be openly assessed for effectiveness, and when teachers receive bad scores without knowing why, or when a single teacher's score fluctuates dramatically from year to year without explanation, it's hard to have any faith in the process.5. Models don't just measure reality, but sometimes amplify it, or create their own. Put another way, models of human behavior create feedback loops, often becoming self-fulfilling prophecies. There are many examples of this in the book, especially focusing on how models can amplify economic inequality. To take one example, a company in the center of town might notice that workers with longer commutes tend to turn over more frequently, and adjust its hiring model to focus on job candidates who can afford to live in town. This makes it easier for wealthier candidates to find jobs than poorer ones, and perpetuates a cycle of inequality. There are many other examples: predictive policing, prison sentences based on recidivism, e-scores for credit. Cathy talks about a trade-off between efficiency and fairness, and, as you can again guess from the title, argues for fairness as an explicit value in modeling.Weapons of Math Destruction is not a math book, and it is not investigative journalism. It is short -- you can read it in an afternoon -- and it doesn't have time or space for either detailed data analysis (there are no formulas or graphs) or complete histories of the models she considers. Instead, Cathy sketches out the models quickly, perhaps with an individual anecdote or two thrown in, so she can get to the main point -- getting people, especially non-technical people, used to questioning models. As more and more aspects of our lives fall under the purview of automated data analysis, that's a hugely important undertaking.

Weapons of Math Destruction by Cathy O’Niel is an interesting and accessible read that provides some valuable insight into the world of big data, predictive analytics, and artificial intelligence. She identifies some very real technical and underlying scientific issues as the world races to advance these technologies. She persuasively points out that computer models can encode human bias into tools and that sometimes exacerbates these biases. Many of her examples are quite rich and compelling. Unfortunately, her desire to reinforce her own social beliefs infuse the same kinds of bias into her analysis that she asserts exist in current WMD’s, just in the opposite direction. One example is her discussion of Kronos’ psychological testing. While it is true that the model prevents some mentally ill applicants from gaining jobs that may be able to do, it also assists an honest company from avoiding a provably higher risk of costly employee issues, some of which could threaten the future viability of the company. This possible outcome should be acknowledged in a well crafted analysis.As a research scientist in the field of analytics I support most all her research recommendations. The technology implementing analytic models (e.g. predictive analytics and AI) is often leaving the supporting science behind. Mastering the science behind, rather than just advancing, these analytic technologies is as important as it is currently unpopular for research investment. But, if these inquiries into “WMD” are to be defensible research with persuasive results they cannot be colored by social and logical biases like Ms. O’Neil’s personal definition of morality or what a utopian society would look like.

In this excellent book the author clearly explains in layperson's terms how commercial and government data models are affecting our lives and in many cases ruining some lives. For example, she describes a computer algorithm that decides the faith of prisoners up for parole. We think it will be less biased than human decision makers, but in fact the bias can be encoded in the algorithm, and because its details are hidden, and because it drives positive feedback loops, it can create very unfair outcomes (e.g. if it's racially biased against blacks, more and more black people get snared in its trap, seemingly validating the bias). Every technology has potential downsides and upsides, and big data models are no exception. The first step is to understand what's going on, and this book is a great place to start. She also gives examples of how these models can and are being used for good and also some potential ways the bad models can be brought under control. No math or statistical knowledge is required to understand the book.

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Senin, 18 Oktober 2010

Oktober 18, 2010 Posted by sammistuartmaxwellpaget No comments Posted in

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General Directory for Catechesis

From the Back Cover

Related Titles On Catechesis in Our Time (Catechesi Tradendae) Pope John Paul II s timeless apostolic exhortation reflects on the realities and joys of bringing the mystery of Christ to all the world. No. 654-9, 100 pp. Guide for Catechists The Congregation for the Evangelization of Peoples examines the main aspects of the catechist's vocation, identity, spirituality, selection and training, basic apostolic tasks, and remuneration. English: No. 824-X, 60 pp. Spanish: No. 027-3, 80 pp. Guidelines for Doctrinally Sound Catechetical Materials The U.S. bishops provide guidelines for producing catechetical materials consistent with the teachings of the Catholic Church. For use by diocesan offices and publishers of Catholic materials. No. 419-8, 32 pp. On the Permanent Validity of the Church's Missionary Mandate (Redemptoris Missio) Pope John Paul II's encyclical letter addresses the urgency of missionary activity by those in the Catholic Church among the growing number of unchurched throughout the world. No. 424-4, 168 pp. On Evangelization in the Modern World (Evangelii Nuntiandi) Addressing the special commitment of evangelization, Pope Paul VI s apostolic exhortation explores efforts to proclaim the Gospel to a modern people. No. 129-6, 70 pp.

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Product details

Paperback: 300 pages

Publisher: USCCB Publishing; 1st edition (January 15, 1998)

Language: English

ISBN-10: 1574552252

ISBN-13: 978-1574552256

Product Dimensions:

6 x 0.8 x 8.8 inches

Shipping Weight: 12.8 ounces

Average Customer Review:

4.5 out of 5 stars

17 customer reviews

Amazon Best Sellers Rank:

#419,834 in Books (See Top 100 in Books)

I saw that one reviewer said it was "dense" reading. I agree. But it is dense because it is so full of wonderful material. Take it slow. Read and "chew" it meditatively. Drink it in deeply. It gives the big picture on teaching the faith. It's is more than just teaching weekly CCD or RCIA class. It is about witnessing Christ to people who need to hear our message. It's easy to develop a limited (dare I say parochial?) view based on our own little world. This general directory gives a much bigger/broader picture. A world-wide, centuries-long, effort to share the "good news" of salvation. Thought provoking, challenging, just like our faith!

This is a great resource for those who want to know more about our Catholic faith. It's also a necessity when compiling lesson plans for religion class. It helps to pull everything together.

I read the General Directory for Catechesis as part of a seminar class. I had an instructor and fellow students to help me read the GDC and make sense of it. Reflecting the ideas from this book with the National Directory of Catechesis was critical to my understanding of the Church's international direction for religious education. The GDC tells you the Church's international plan for religious education, and the NDC applies it to the American situation. I recommend buying them together. That said I was pleased to learn the Church puts adult catechesis above all else and considers all other religious education activities to radiate from the primary emphasis on grown-ups!

Kind of dry, with a lot of detail, and packed with information.

Excellent!! Thank you..

good

Great book.

The General Directory for Catechesis is another good reference to have when teaching the Catholic Christian faith.

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Minggu, 10 Oktober 2010

Oktober 10, 2010 Posted by sammistuartmaxwellpaget No comments Posted in

Free PDF Winter Pony (A Stepping Stone Book(TM)), by Jean Slaughter Doty

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Winter Pony (A Stepping Stone Book(TM)), by Jean Slaughter Doty

Winter Pony (A Stepping Stone Book(TM)), by Jean Slaughter Doty


Winter Pony (A Stepping Stone Book(TM)), by Jean Slaughter Doty


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Winter Pony (A Stepping Stone Book(TM)), by Jean Slaughter Doty

About the Author

Jean Slaughter Doty wrote over a dozen novels about horses and ponies. Her stories have been treasured by generations of riders.Ruth Sanderson has illustrated books for children of all ages. She lives with her family in Ware, Massachusetts, and her favorite hobby is horseback riding.

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Excerpt. © Reprinted by permission. All rights reserved.

"Hey, Mokey!" Ginny Anderson ran down the hill. She called cheerfully to her pony. A small bucket of hot mash swung from her hand. Mokey whinnied in answer. Ginny could hear her through the twilight. Ginny could also hear the sound of quick hoofbeats. She saw Mokey in a blurred pattern of brown and white. Mokey trotted up to the paddock gate. "Hi, Moke." Ginny stopped to give her pony a quick pat. Then she let herself into the small tack room. It was in the stable, next to the paddock. She turned on the lights and unhooked the narrow door into the stall. Mokey was waiting inside. She was peering into her feed tub. She looked like she was waiting for her supper to appear like magic. Ginny poured the sweet hot mash into the tub. Mokey stuck her muzzle deep into the swirling steam with a sigh of joy. Ginny left the pony to enjoy her supper in peace. Ginny went to stand for a moment by the open stall door. It led to the paddock next door. The frosty twilight sky was turning purple. The evening star glowed brightly over a far ridge of trees. "Star light, star bright," said Ginny. She stopped. There was no need to go on. For years she had wished on every star, ever since she could remember, for a pony of her own. Now she had Mokey, with her brown and white spots, her one blue eye and one brown, her black forelock and white mane and black tail. Mokey was not exactly the beautiful pony of her dreams. But she was a real, live pony. Mokey was fat now and shaggy. Her winter coat was getting thicker. The new little stable had just been finished. It was painted a deep red with white trim. It smelled like fresh sawdust, drying paint, sweet hay, and pony. Ginny squinted up at the evening star. It seemed hard to remember how thin and shabby Mokey had been just last spring. She and her mother had found the pony at the Sweetbriar Pony Farm. They rented her just for the summer. But the whole family had become so fond of the pony that they couldn't let her go when the summer ended. It was getting colder. Ginny shivered. She went outside to close the heavy Dutch doors of the stall to shut Mokey in for the night. Mokey finished her mash. She slobbered a last happy mouthful over the front of Ginny's jacket. Then she turned to start on her hay. Ginny finished cleaning the stall. She added fresh bedding and filled the water bucket to the brim. The weather report said there would be a hard frost that night. Ginny brought out Mokey's new winter blanket and buckled it on. "You greedy thing," Ginny said to her pony. "This blanket fit just right when we got it for you. Now I have to loosen the back belt buckle. You're getting fatter every day." Ginny smoothed the pony's mane. She gave her a loving pat. "Tomorrow is Saturday," Ginny said. "We can be out all day. And you sure need the exercise to work off some of that tummy!" Ginny bolted the narrow door behind her as she left the stall. She stood for a happy moment in the tack room. She checked to see that everything was in its place. Bales of hay and shavings for bedding were neatly stacked at the back of the room. The ceiling lights glowed on the dark leather of the halter and bridle. They were on their racks on the wall. Ginny could see the white cotton lead ropes. The buckets and metal storage cans for grain were under the shelf where the brushes and grooming things were kept. The pitchfork, rake, and broom were hung on the wall where they belonged. Ginny was humming softly under her breath. She turned off the lights and latched the door behind her. Saturday morning was clear and bright. But it was the middle of the morning before Ginny could escape from the house. "Not an inch," her mother had said firmly. Ginny had given Mokey her morning feed and had finished her own breakfast. "You are not stirring one inch from this house, young lady, until you clean your room! Honestly, Ginny, how can you keep your stable so neat and your room so messy?" Ginny didn't know, either. She flung her things into her drawers. She made her bed. Feeling a little guilty, she kicked an old notebook under the bed. Cleaning up her room was a chore. Taking care of Mokey was fun.  It was as simple as that. She snatched her hunt cap from the shelf. Then she tugged on her jacket and finally ran down to the stable. She was supposed to meet Pam Jennings at her place in fifteen minutes. Ginny brushed Mokey quickly. She gave her a pat. She promised to do a better grooming job the next time. Then she bridled the pony and started on her way. Mokey knew where they were going. She never minded being ridden alone. But she always liked going out with Pam's chestnut pony, Firefly.  Mokey broke into an eager trot and then into a strong canter. There were patches of silver frost on the shaded path through the woods. The air was crisp with the cold. Mokey gave a happy buck and a kick. She waved her long black tail. Ginny pulled Mokey back to a quiet walk. They turned into the Jenningses' stable yard. She had expected to see Pam waiting on her pony. But the yard was empty. There were no hoofprints in the smooth raked gravel in front of the wide white doors. Ginny slipped off Mokey's back just as Pam started to roll back one of the doors. "Hi!" she said to Ginny. Pam was out of breath. "I thought I heard you coming. Then Firefly started to whinny, so I knew it was you. Come on in." Ginny led Mokey into the sunlit aisle between the two rows of box stalls. Firefly whinnied again from his stall. Mokey whinnied in answer.  

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Product details

Age Range: 6 - 9 years

Grade Level: 1 - 4

Lexile Measure: 510L (What's this?)

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Series: A Stepping Stone Book(TM)

Paperback: 144 pages

Publisher: Random House Books for Young Readers; First Edition edition (November 25, 2008)

Language: English

ISBN-10: 0375847103

ISBN-13: 978-0375847103

Product Dimensions:

5.2 x 0.3 x 7.6 inches

Shipping Weight: 4.2 ounces (View shipping rates and policies)

Average Customer Review:

4.7 out of 5 stars

61 customer reviews

Amazon Best Sellers Rank:

#30,143 in Books (See Top 100 in Books)

This was a childhood favorite. I was very happy to see a digital copy of it available. The last time I looked for this book it was out of print. Was very happy to re-read this book. Great fictional short story that is a fairly realistic about owning a first horse or pony.

Which came first, summer pony or winter pony? My horse loving daughter can replace naptime with a once through of Winter Pony. Do the world a favor and let your child's mind create it's own pictures in his or her head. Get them off that little handheld computer. Great book.

Great for younger readers. I’ll be adding the other pony stories to our collection.

Waiting child review

daughter loves the book

Such a cute story. My daughter is in 1st grade and loves horses. We got this book for her for Christmas. I read a chapter to he every night. We both enjoyed it tons!

My 6 year old LOVED this book. It held her interest the entire time! She read it in 3 days.

If you loved "Summer Pony" you need to read this sequel of Moki the pony.

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