This book outlines and demonstrates basic package design guidelines and rules through 100 principles in the areas of research, planning, and execution. This book is a quick reference and primer on package design, and the principles that make design projects successful. Highly visual and appealing to beginning designers, students, and working designers as a resource. The content helps to establish the rules and guides designers in knowing when and where to bend them. Visual examples demonstrate each principle so readers can see the principle at work in applied design.

Essentials of Nursing Practice introduces the core topics and essential information that nursing students, in all four fields, will need to master during the first year of a nursing degree. It expertly brings together insight from over fifty experienced lecturers, nurses and healthcare professionals, along with contributions from student nurses, to deliver the most complete guide to successfully becoming a registered nurse. Key features: A clear, full-colour, effective learning design aimed to help students understand the core theory, skills and knowledge, and how this can be applied in practice through holistic, person-centred nursing. Covers professional issues such as ethics, law, accountability, core academic skills like writing and completing assignments, and fundamental clinical skills such as pain management and medicines administration. Includes interactive activities such as critical thinking, reflection and ‘what’s the evidence’ boxes. Real-life ‘voices’ and experiences from patients, students and practitioners are integrated throughout. Addresses the transition to the new NMC Standards of Proficiency with a new tool developed for educators mapping the content of the book to both the existing and new standards. Readers get free 24/7 access to videos, case studies, journal articles, quizzes and multiple choice questions at the click of a button, by downloading the interactive eBook version of the text. (Redemption code and instructions inside the book)

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language. Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure. Learn about the most useful components of an R package, including vignettes and unit tests Automate anything you can, taking advantage of the years of development experience embodied in devtools Get tips on good style, such as organizing functions into files Streamline your development process with devtools Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN) Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr

Gain useful insights from your data using popular data science tools Key FeaturesA one-stop guide to Python libraries such as pandas and NumPyComprehensive coverage of data science operations such as data cleaning and data manipulationChoose scalable learning algorithms for your data science tasksBook Description Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn. The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You’ll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost. By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users What you will learnSet up your data science toolbox on Windows, Mac, and LinuxUse the core machine learning methods offered by the scikit-learn libraryManipulate, fix, and explore data to solve data science problemsLearn advanced explorative and manipulative techniques to solve data operationsOptimize your machine learning models for optimized performanceExplore and cluster graphs, taking advantage of interconnections and links in your dataWho this book is for If you’re a data science entrant, data analyst, or data engineer, this book will help you get ready to tackle real-world data science problems without wasting any time. Basic knowledge of probability/statistics and Python coding experience will assist you in understanding the concepts covered in this book.

The Ninth Edition teaches students the technical skills required of today’s paramedic while emphasizing other important professional attributes, including critical thinking, empathy, teamwork, communication, problem solving, and personal well-being.

How important are soft skills in managing a project? How many times have you sat through a dull and ineffective meeting? Have your projects fallen short because of a lack of focus or scope? Do you struggle to lead teams that are quarrelsome or unproductive? Don't let yourself be plagued by these problems anymore. Project management is a delicate combination of art and science, and any manager who hopes to become successful must be aware of this fact. This balance is examined in this quintessential guide to making your projects run smoothly and successfully. Deepak Pandey explains the subtle but critical aspects of project management. He covers such details as how to build a team, manage relationships with stakeholders, and close communication gaps. Deepak shows readers how to think through the essentials by breaking down the project into easily organized and tightly-focused sections. By following the key points of his guide, you'll be able to create an effective, thriving team and achieve your project's goals.