Rabu, 25 Desember 2013

Ebook Free Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series)

Ebook Free Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series)

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Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series)

Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series)


Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series)


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Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series)

About the Author

Michael Freeman is a senior lecturer at the University of Washington Information School, where he teaches courses in data science, interactive data visualization, and web development. Prior to his teaching career, he worked as a data visualization specialist and research fellow at the Institute for Health Metrics and Evaluation. There, he performed quantitative global health research and built a variety of interactive visualization systems to help researchers and the public explore global health trends. Michael is interested in applications of data visualization to social justice, and holds a Master’s in Public Health from the University of Washington.   Joel Ross is a senior lecturer at the University of Washington Information School, where he teaches courses in web development, mobile application development, software architecture, and introductory programming. While his primary focus is on teaching, his research interests include games and gamification, pervasive systems, computer science education, and social computing. He has also done research on crowdsourcing systems, human computation, and encouraging environmental sustainability. Joel earned his M.S. and Ph.D. in information and computer sciences from the University of California, Irvine.

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Product details

Series: Addison-Wesley Data & Analytics Series

Paperback: 384 pages

Publisher: Addison-Wesley Professional; 1 edition (December 8, 2018)

Language: English

ISBN-10: 0135133106

ISBN-13: 978-0135133101

Product Dimensions:

7 x 0.5 x 9.2 inches

Shipping Weight: 1.1 pounds (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

2 customer reviews

Amazon Best Sellers Rank:

#247,809 in Books (See Top 100 in Books)

If you want nice and tidy package of all the things you need to know to get ready to do great Data Science, then this is the book for you!Programming Skills for Data Science starts at the beginning of the DS journey. It takes you through the basics, careful to ensure that no tricky acronym or software 'gotcha' is left unexplained. Folks will appreciate the book's guiding hand which provides a consistent and carefully thought out introduction to all the tools and technologies you need to know. It starts with command line tools and git, making sure the reader is prepared for the more advanced stuff later in the book. I liked the inclusion on a chapter about using Markdown for documentation purposes. If you already are familiar with this markup language, its an easy thing to skim. But if you haven't used Markdown before, it is great to have it here, right in-line with the other prerequisites.The next section of the book provides a great introduction to R - a powerful and wildly popular tool for 'doing' data science. The way Mike Freeman and Joel Ross build up from simple programming concepts to advanced R features really showcase that they've been teaching this stuff for a long time - and have a system that works! I love the walkthrough of basic data types in R (which are kinda weird even if you are familiar with data types from other languages). I also appreciate the section on where one can find help. Thats one of the biggest lessons to learn when doing any programming work - its completely ok to search out answers when you get stuck. Mike and Joel provide a comprehensive list for doing just that.The main section of the book gets people comfortable with the primary tasks of a Data Scientist - wrangling and visualizing data using code. And here, Joel and Mike again show their expertise by picking the best-in-class packages for working with data in R today. Their showcasing of the 'tidyverse' of packages gets you parsing and working with data in the most direct and powerful way possible. They show you how to get started with ggplot2 for visualizing data quickly. I thought it was nice they include a quick description of the 'grammar of graphics' which is the conceptual framework ggplot2 is built from. There is even a section on making maps in R - using the same tools!The final section of the book on building and publishing data-driven reports and analyses really ties everything together. Their suggestions for building and publishing static and interactive analyses are really some of the best ways to get your work out there. I learned a lot of how to build out these interactive tools using Shiny - and make them look good too!Throughout the book I loved the writing style and the attention to detail. There are innumerable call-outs, tips, and warnings as you read. I love that they provide both Windows and Mac examples of setup and screenshots. And I love that the book comes in full color! So those graphics are easy to read and understand. I think a critique that could be leveled against this book is "well can't you find this all on the Internet?". But really, what book couldn't you say that about, these days? But it is true - there are resources out there that cover chunks of this material. You could probably amass a body of work that hit roughly the same topics. But a benefit of this book is having a single resource where all of this material is packaged for you in one handy-dandy guide, so you don't have to be constantly googling mystery words and trying to piece disparate narratives together while learning something new.This book is a great guide and a great resource for starting down the Data Science path. I have a copy and will be getting one for my friends and associates that are interested in getting started with working and analyzing data!!

I recently got this book as a supplement to my learning R in a university system since my professor was not the best teacher. I must say I'm glad I found this book. Unlike many other coding books, it starts at the very beginning such as file management, text editors, the best IDEs, and project set up. After these topics it jumps into the typical computer science stuff like variables, data types, etc. It's hard to stress how nice it is for a book to be comprehensive in its approach to learning a computer programming language. Too many books forget that its a contextual process, and it's crucial to understand everything that goes along with simply just coding scripts and functions.The book goes over how to collect and manipulate data, how to visualize data, and how to build and share your applications. It goes over so many important concepts that I've found other books lack like accessing data from databases and web APIs, and it introduces many of the essential functions used for data analysis too. As someone who was personally interested in making maps with R, there are great examples of that too.The writing is clear and concise, the examples are fantastic, and the snippets of code are extremely helpful. You can tell it was written by someone who is good at and excited by data science. If you're looking for an enjoyable, comprehensive, and practical overview of R definitely get this book.

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Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series) PDF

Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series) PDF
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series) PDF

Selasa, 03 Desember 2013

Free Download Big Bear, Small Mouse (The Bear Books), by Karma Wilson

Free Download Big Bear, Small Mouse (The Bear Books), by Karma Wilson

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Big Bear, Small Mouse (The Bear Books), by Karma Wilson

Big Bear, Small Mouse (The Bear Books), by Karma Wilson


Big Bear, Small Mouse (The Bear Books), by Karma Wilson


Free Download Big Bear, Small Mouse (The Bear Books), by Karma Wilson

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Big Bear, Small Mouse (The Bear Books), by Karma Wilson

From School Library Journal

PreS-K—In the woods there are many friends. Some are large, and others are small. Some fly high and others low. Some are fast, while others move slowly. The world is full of opposites, but they are able to come together in a way that is just right. In a beautifully vibrant forest, Wilson and Chapman's animals come to life with love and charm. A bear, a badger, an owl, a mouse, and many more woodland creatures demonstrate the concept of opposites. With pleasant expressions and a cheerful tone, the characters are adorable and endearing. The text is simple and easy to grasp for even the youngest viewers. A combination of lush green illustrations and crisp white backgrounds creates the perfect contrast with the turn of every page. The talented author/illustrator duo have produced another outstanding picture book for the preschool audience. VERDICT Fans of Bear Snores On will want to add this fun and effortless tool for teaching opposites to their storytime repertoires.—Amy Shepherd, St. Anne's Episcopal School, Middleton, DE

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"Fluent and friendly, this frolic will encourage preschoolers and emergent readers to recite and chant along with each reread." (Kirkus Reviews September 2016)"With pleasant expressions and a cheerful tone, the characters are adorable and endearing. The text is simple and easy to grasp for even the youngest viewers....The talented author/illustrator duo have produced another outstanding picture book for the preschool audience. Fans of Bear Snores On will want to add this fun and effortless tool for teaching opposites to their storytime repertoires." (School Library Journal October 2016)"A fine addition for fans of Wilson and Chapman’s Bear series" (Publisher's Weekly October 3, 2016)

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Product details

Age Range: 3 - 7 years

Grade Level: Preschool - 2

Lexile Measure: 390L (What's this?)

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Series: The Bear Books

Hardcover: 32 pages

Publisher: Margaret K. McElderry Books (November 29, 2016)

Language: English

ISBN-10: 1481459716

ISBN-13: 978-1481459716

Product Dimensions:

10 x 0.4 x 9 inches

Shipping Weight: 14.9 ounces (View shipping rates and policies)

Average Customer Review:

4.7 out of 5 stars

16 customer reviews

Amazon Best Sellers Rank:

#225,995 in Books (See Top 100 in Books)

Love this bear series - it started with Bear Snores On, which my child received as a gift when he turned one. He fell in love with Bear and we have all the rest of the books. He asks for them to be read almost daily and memorizes the books so we have fun "reading" them together. This book, as well as the rest of the series, has the cutest images and rhymes. What works best is the repetitive phrases, which help my toddler learn the concepts.

Thank you, we love all the books of particularly this author and illustrations are megical! Our daughter can not stop reading those books!Everything was shipped very well and safe.Natalia.

We LOVE all the BIG BEAR books!!!

I'm a fan of the Karma Wilson Bear stories. I am a special education teacher and they just cover alot of topics. This book did not disappoint. And I loved the theme of descriptive words. I used this as a tool for part of my state alternative assessments.

So happy the author made another bear book, we have all of them :) they are awesome books, cute, colorful, and educational !

gift

We love the bear books, and this is another fun one. We love the rhythmic rhymes. Perfect for bedtime!

I love all the Bear books and so do my granddaughters.

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Product details

File Size: 1566 KB

Print Length: 75 pages

Simultaneous Device Usage: Unlimited

Publication Date: October 23, 2013

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B00G4UFGPE

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Amazon Best Sellers Rank:

#1,175,720 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

This was a pretty good read. This was not just a book about hair loss, but about our health in general. It points out the rising trend that more and more young men are suffering from male pattern baldness at earlier ages. And that indigenous people like "Eskimos" don't seem to suffer from this affliction. It considers what many in the scientific community studying hair loss in men do not consider, and that is MPB may not be the result of random genetics happening to people "Just cause". Slator makes a compelling argument for MPB being the result of poor health brought about by unnatural habits modern men in society practice. From eating against our individual genetics to sexual practices that deplete vital "energies" or nutrients (A view not considered by modern science as a correlation to MPB since it is based off of an opposing view in their health) this book considers multiple angles and how each may be a factor. Another great plus is that these alternative approaches can be halted and possibly reversed through simple means like finding your correct diet or changing your bedroom practices. This is an interesting solution than just get surgery or wait for the next medical miracle.The downside is that some of the conclusions can seem drawn from vague sources at times and the author seems unable to backup many of his claims with authoritative expert sources. It would really help his position if he could get a third party opinion from some trusted source. The questionnaire about finding the correct diet seemed good at first, but there was an instance of a question repeating itself, and a few possible answers to some of the questions missing. While not discrediting does weaken the argument that it is valid for finding your correct or natural diet.All in all I would say that even if your are not a balding man wanting to stop his hair from falling out, this book is still a must read for anyone studying the subject. It might make a few leaps but the arguments deserve more research and it is a shame the scientific establishment studying this phenomenon don't do them. It is still a refreshing read on the subject and can remind a reader that there are other views of health and that no single answer is necessarily the right answer.

very interesting.

I felt compelled to write a review since it doesn't look like this book has any yet. The title certainly grabbed my attention, but overall at least for me, there wasn't much that I hadn't read before online. I skimmed through quite a bit of the book because of that. I will probably go back and read it again. I wouldn't say it was a waste of time. The author presents a number of modern health concepts/habits with the focus being hair. I think if you've never researched hair loss in any depth online or any kind of health self improvement, you'll find this book full of things you might have never thought of before. I am curious though as to why the author at some point in the book mentions "his client's," but there is no information in the book about who the author is or what kind of background he comes from.

Some good information and some which is a bit way out there but may be good if you are willing to try it.I found the questionnaire to determine the type of foods I need to eat most helpful.In only a few days I have already lost 2kg without trying.

Great Book! This book doesn't sugar coat the necessary steps to get your health on track to create a healthy environment for healthy thriving hair. I read this book at work; I had to multitask. Each page was worth it and definitely supports the heaps of research I've done on food/lifestyle and it's connection to hair.

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