Ebook Essentials of Dental Assisting
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Essentials of Dental Assisting
Ebook Essentials of Dental Assisting
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Product details
Paperback: 568 pages
Publisher: Saunders; 4 edition (March 7, 2007)
Language: English
ISBN-10: 1416036687
ISBN-13: 978-1416036685
Product Dimensions:
8.8 x 1 x 11 inches
Shipping Weight: 3.1 pounds
Average Customer Review:
4.7 out of 5 stars
14 customer reviews
Amazon Best Sellers Rank:
#325,445 in Books (See Top 100 in Books)
I am the Owner/ Director of a small Dental Assisting School and we USE this as our textbook.It is well organized, and easy to use. Throughout the book, important points are bulleted and highlighted in prominent areas for quick reference. Everything a new dental assistant ( or dental assistant who needs to refresh) would need or enjoy is available in this book.My suggestion for self-study is to purchase the workbook ask well. In this manner you will be able to test your knowledge.N.KehrDirector, National School of Dental Assisting,Stockton[...].[...].
I purchased this book for my son who is in Dental Assistant Training and hopes one day to become a dentist. He had put hours into studying for an upcoming exam and thought he was ready until I gave him this book. After reviewing the appropriate sections for his test, he remarked to me how much more confident he was about taking the test and he ended up scoring very high.
Great product
I find this book excellent for anyone starting in the field of dental assistant or as a review book for someone who is already an assistant. I am just learning and borrowed the book and had to buy it. It covers everything in detail from anatomy,infection control,patient care, radiography, all forms of denistry procedures needed and much more. There are exercises and flash cards and 623 pages full of information. A GREAT BOOK. Its a must for any dental assistant. There are alot of pictures, layouts and diagrams. I enjoy every minute of it.
Great book for learning or review. Covers just about everything. Great photos and explanations. I would definitely recommend this book for beginning dental assistants, or those who just want to brush-up and/or familiarize themselves with all areas of dentistry. Also great for certification prep.
A truly superior book with great photos that are a great assistance to me as a new person in the field. Keeper
Great textbook and for a great price ! !!
very good book
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Download PDF Bioinformatics with Python Cookbook
Bioinformatics With Python Cookbook. In undergoing this life, several individuals always aim to do and obtain the very best. New expertise, encounter, driving lesson, as well as every little thing that can boost the life will certainly be done. However, several people sometimes really feel puzzled to get those things. Really feeling the minimal of experience as well as sources to be better is one of the does not have to have. Nevertheless, there is an extremely basic point that can be done. This is exactly what your teacher constantly manoeuvres you to do this. Yeah, reading is the solution. Checking out an e-book as this Bioinformatics With Python Cookbook and various other references can improve your life top quality. Just how can it be?
Bioinformatics with Python Cookbook
Download PDF Bioinformatics with Python Cookbook
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About the Author
Tiago Antao Tiago Antao is a bioinformatician. He is currently studying the genomics of the mosquito Anopheles gambiae, the main vector of malaria. Tiago was originally a computer scientist who crossed over to computational biology with an MSc in bioinformatics from the Faculty of Sciences of the University of Porto, Portugal. He holds a PhD in the spread of drug resistant malaria from the Liverpool School of Tropical Medicine, UK. Tiago is one of the coauthors of Biopython―a major bioinformatics package―written on Python. He has also developed Lositan, a Jython-based selection detection workbench. In his postdoctoral career, he has worked with human datasets at the University of Cambridge, UK, and with the mosquito whole genome sequence data at the University of Oxford, UK. He is currently working as a Sir Henry Wellcome fellow at the Liverpool School of Tropical Medicine.
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Product details
Paperback: 310 pages
Publisher: Packt Publishing - ebooks Account (June 25, 2015)
Language: English
ISBN-10: 1782175113
ISBN-13: 978-1782175117
Product Dimensions:
7.5 x 0.7 x 9.2 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review:
4.4 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#680,880 in Books (See Top 100 in Books)
This book is a great addition to the library of texts to learn advanced Python applications in biomedical sciences. One big drawback of the Python environment in this field is the paucity of textbooks beyond the most basic level. In this sense, the book by Antao is a welcome contribution.Two things you need to know right away about the book: 1) This is not a bioinformatics book, as it covers only the Python implementation of the algorithms but not their theoretical background. Furthermore, the techniques covered are intermediate and advanced bioinformatics topics (e.g. next-generation sequencing, population genetics, protein structure visualization). 2) By the same token, is not an introductory Python book, knowledge about the language and its most common scientific packages (NumPy, SciPy, and Matplotlib) is assumed (on the other hand, Chapter 1 - covering the installation of the software - is a little wasted because of this).The materials in each chapter are presented clearly and in a concise manner. Is very easy to follow what Python packages are being used and the differences in syntax between Python 2 and 3. The selected examples are very relatable to the biomedical scientist, making it a nice change of pace from all the finance examples commonly encountered in most Python books. The code runs smoothly without any changes, and the explanations of the commands are good although a little short every now and then.In summary, this is a great book if you are looking to implement advanced bioinformatics techniques in Python. The writing style of the author makes it very user-friendly and if he decided to write another book covering how to implement basic bioinformatic techniques (probably a Biopython manual) I wouldn't hesitate to add it to my library.
This book is an excellent bioinformatics cookbook and it covers a vast range of topics, ranging from next generation sequencing to population genetics and phylogenetics. However to take fully advantage of the book is highly recommended to have both a medium-high knowledge of python and some experience in bioinformatics. Each chapter provides python code to reproduce the analyses the author performs. Even though the author explains the code in details, the code often is not trivial and a certain experience with python is required. Similarly, a previous knowledge of bioinformatic technologies is desirable as the book often uses a terminology (such as fastq, bam, vcf, etc.) that won’t be familiar to those that haven’t any experience in bioinformatics.The book is well organized and structured. The first chapter helps the reader to set up a python environment through Anaconda or Docker. In the following chapter the author starts to talk about bioinformatics and the first topic he touches is NGS (next generation sequencing). I found this chapter very interesting as it shows how to deal efficiently with the usually huge fastq files and how to perform simple but useful analyses such as quality control of the sequencing reads by position. In the same chapter the author talks about the variant call format (VCF) and how to work with it through libraries such as pyVCF. The next chapter is dedicated to whole genome sequences in fasta format and to genome annotations in GFF/GTF formats. The following chapters are about population genetics and phylogenetics. Even though I’m not an expert of these fields and I was not aware of the formats used (such as genepop) I could enjoy the reading and the code was straightforward enough to be easily understandable. Then the author explains how to use PDB (the protein data bank) and the software PyMol. A very interesting (and in my opinion important) chapter is the last one where the author discusses how to deal efficiently with big genomics datasets. Here the authors talks about concurrency and ipython parallel computing, and shows how it is possible to speed up your python code by using libraries such as Cython and Numba.Overall the book is well written and organized and is a good cookbook for bioinformaticians.
I've been in computational biology for a long time, and I find this to be one of the most impressive practical and comprehensive books I've come across (and I go through a lot!) It provides an incredibly wide survey of different domains of computational biology (e.g., protein structure, genomics, and much more), combined with lots of good Python programming advice (e.g., use of IPython/Jupyter notebooks, provided by the author). And it's about as up to date as imaginable -- quite a tour de force!
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Download Ebook
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Product details
File Size: 419 KB
Print Length: 126 pages
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 1 edition (August 5, 2015)
Publication Date: August 5, 2015
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B013HA441A
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Amazon Best Sellers Rank:
#150,020 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Some of the analogies the author attempts in an effort to draw parallels between abstract programming concepts and non-techie life just didn't work for me.Having said that, I am a database, powershell, C#, etc. programmer by profession, I already know the programming concepts. I just wanted to get a sound foundation for working with some rest apis and web services that return json. And this book did that perfectly well for me.
What can I say. It's an O'Reilly book. The book is a good intro to JSON. You can find all of the same information online. If you are like me and on occasion like flipping through paper, this is worth the money.
Even if you know nothing about programming you will understand this book. It is extremely clear. It is an excellent book to begin learning JSON, JSON Schema, and beginning JSON security vulnerabilities and what to do about them. It was written in 2015 and therefore is more up-to-date than other books. It touches on other related technologies like AngularJS, Node, etc. JSON doesn't care about what language you write in - PHP, ASP.NET, HTML, etc.This book gives plain English examples, then progresses to simple JSON coding. It does not give a lot of extra examples to work through, but does show what to watch out for, and references to other resources. You can read this book in a day or two, perhaps in a few hours. It's only 112 pages including the index.If you want to know if what you are crafting is good JSON data, but don't need to understand the in-depth programming of JSON, then this is an especially good book.If you are a total beginner to programming, or don't know a lot of programming lingo, then this is a great book.If you already know some JSON, this book is NOT for you, go buy a different book.
This is exactly what I was looking for. A concise but fairly thorough treatment of JSON.I'm a (primarily) SQL developer but my organization is considering moving some of their data into Mongo. For me this was perfect; enough information to be able to do intelligent research.
I love the way Lindsay used Metaphor and Simile to explain the constructs of JSON, and the detailed examples of its use with other technologies. Excellent book!
Not a think book, but short and sweet. It gets right to the point. I bought it for a quick explanation of JSON and it succeeded in that.
Great examples lead the reader around practical real-world applications of Json from client to server and common platforms. A great reference source.
This is a simple, clear, short intro to JSON.
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