CPT(R) 2022 Professional Edition is the definitive AMA-authored resource to help healthcare professionals correctly report and bill medical procedures and services.
Attention Deficit/Hyperactivity Disorder (ADHD) in adulthood is a prevalent and impairing disorder. While medications have been effective in treating adult ADHD, the majority of individuals treated with medications still have symptoms that require additional skills and symptom management strategies. This Second Edition of Mastering Your Adult ADHD is thoroughly updated to present the most current, empirically supported treatment strategies in cognitive behavioral therapy (CBT) for coping with symptoms of adult ADHD. The Therapist Guide provides clinicians with effective means of teaching adult clients skills that have been scientifically tested and shown to help them cope with ADHD. The program has been updated to include the optional use of technology and smart phones to improve organization and planning. Core modules cover the development of systems for keeping track of appointments and tasks, reducing distractibility, and improving adaptive thinking skills, and there's an optional module on reducing procrastination. Information is also provided regarding holding an informational meeting with a spouse, partner, or family member. The step-by-step, session-by-session descriptions are a practical resource for therapists who deliver the treatment. The companion Client Workbook contains all of the necessary information for participating in the practical CBT intervention. It includes worksheets, forms, and a link to an assessment measure that can be used to gauge progress during treatment.
Expansion of ICD-9-CM information. - Sample patient charts include explanatory notes. - A simulated medical practice (identified as Godfrey Regional) lets you study in a real-world scenario. - Key Terms lists highlight the most important vocabulary and content. - More exercises!
Build a website with your pencil! The Coding Workbook empowers you to teach students the basics of web development without a computer. This beginner-friendly introduction to web development enables anyone to build a website by writing out code by hand--no computer or internet required. It's a fun, hands-on approach to coding that teaches the basics of using the HTML and CSS programming languages (the language of web pages). You write the code in the pages of your workbook and then draw what it would look like in a web browser. TEACHERS: This has everything you need to teach an introductory web development class, and the pages are perforated! STUDENTS: Learn the basics of HTML and CSS to build your own custom website! Once you've finished the workbook you'll have the skills to easily build and launch a website. It's that easy! This exercise-filled workbook is packed with illustrations and progress quizzes, making it perfect for at-home learning or schools lacking sufficient computer or internet access. It has everything you need to teach a coding class or learn basic web programming yourself. Requirements: Pen or pencil and a desire to learn!
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms