CPT(R) 2022 Professional Edition is the definitive AMA-authored resource to help healthcare professionals correctly report and bill medical procedures and services.
Written by nurse practitioners for nurse practitioners in collaboration with a physician, this popular text builds a solid understanding of the theoretical foundation of nursing practice, while also providing comprehensive patient-care guidance based on the latest scientific evidence.
The Art & Science of Web Design will help you understand the Web from the inside. It is structured around core Web concepts that often get only a passing mention in books on Web design. This book is not a reference book or a style guide. It is your mentor, whispering in your ear all the answers to those ubiquitous questions, and reminding us that there are now new rules and new ways to break them.
Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
A groundbreaking treatise by one of the great mathematicians of our time, who argues that highly effective thinking can be learned. What spurs on and inspires a great idea? Can we train ourselves to think in a way that will enable world-changing understandings and insights to emerge? Richard Hamming said we can, and first inspired a generation of engineers, scientists, and researchers in 1986 with "You and Your Research," an electrifying sermon on why some scientists do great work, why most don't, why he did, and why you should, too. The Art of Doing Science and Engineering is the full expression of what "You and Your Research" outlined. It's a book about thinking; more specifically, a style of thinking by which great ideas are conceived. The book is filled with stories of great people performing mighty deeds––but they are not meant to simply be admired. Instead, they are to be aspired to, learned from, and surpassed. Hamming consistently returns to Shannon’s information theory, Einstein’s relativity, Grace Hopper’s work on high-level programming, Kaiser’s work on digital fillers, and his own error-correcting codes. He also recounts a number of his spectacular failures as clear examples of what to avoid. Originally published in 1996 and adapted from a course that Hamming taught at the U.S. Naval Postgraduate School, this edition includes an all-new foreword by designer, engineer, and founder of Dynamicland Bret Victor, and more than 70 redrawn graphs and charts. The Art of Doing Science and Engineering is a reminder that a childlike capacity for learning and creativity are accessible to everyone. Hamming was as much a teacher as a scientist, and having spent a lifetime forming and confirming a theory of great people, he prepares the next generation for even greater greatness.
First Processing book on the market Processing is a nascent technology rapidly increasing in popularity Links with the creators of Processing will help sell the book
Chapter 5. Knowing What to Comment; What NOT to Comment; Don't Comment Just for the Sake of Commenting; Don't Comment Bad Names--Fix the Names Instead; Recording Your Thoughts; Include "Director Commentary"; Comment the Flaws in Your Code; Comment on Your Constants; Put Yourself in the Reader's Shoes; Anticipating Likely Questions; Advertising Likely Pitfalls; "Big Picture" Comments; Summary Comments; Final Thoughts--Getting Over Writer's Block; Summary; Chapter 6. Making Comments Precise and Compact; Keep Comments Compact; Avoid Ambiguous Pronouns; Polish Sloppy Sentences.
CPT® 2021 Professional Edition is the definitive AMA-authored resource to help health care professionals correctly report and bill medical procedures and services. Providers want accurate reimbursement. Payers want efficient claims processing. Since the CPT® code set is a dynamic, everchanging standard, an outdated codebook does not suffice. Correct reporting and billing of medical procedures and services begins with CPT® 2021 Professional Edition. Only the AMA, with the help of physicians and other experts in the health care community, creates and maintains the CPT code set. No other publisher can claim that. No other codebook can provide the official guidelines to code medical services and procedures properly. FEATURES AND BENEFITS The CPT® 2021 Professional Edition codebook covers hundreds of code, guideline and text changes and features: CPT® Changes, CPT® Assistant, and Clinical Examples in Radiology citations -- provides cross-referenced information in popular AMA resources that can enhance your understanding of the CPT code set E/M 2021 code changes - gives guidelines on the updated codes for office or other outpatient and prolonged services section incorporated A comprehensive index -- aids you in locating codes related to a specific procedure, service, anatomic site, condition, synonym, eponym or abbreviation to allow for a clearer, quicker search Anatomical and procedural illustrations -- help improve coding accuracy and understanding of the anatomy and procedures being discussed Coding tips throughout each section -- improve your understanding of the nuances of the code set Enhanced codebook table of contents -- allows users to perform a quick search of the codebook's entire content without being in a specific section Section-specific table of contents -- provides users with a tool to navigate more effectively through each section's codes Summary of additions, deletions and revisions -- provides a quick reference to 2020 changes without having to refer to previous editions Multiple appendices -- offer quick reference to additional information and resources that cover such topics as modifiers, clinical examples, add-on codes, vascular families, multianalyte assays and telemedicine services Comprehensive E/M code selection tables -- aid physicians and coders in assigning the most appropriate evaluation and management codes Adhesive section tabs -- allow you to flag those sections and pages most relevant to your work More full color procedural illustrations Notes pages at the end of every code set section and subsection