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The author examines the various characteristics of integrity, explaining what each is, giving contemporary and biblical examples, and interpreting practical steps to develop that quality in our lives.
Character Counts contains brief biographical and reflective chapters about four remarkable world figures who not only withstood the extreme adversities of their offices and circumstances but flourished and grew under pressure to become people who made a difference in their times.
Just in time for Character Counts Week in October, this activity book aimed at building core ethical values in preschoolers explains fairness, one of the Six Pillars of Character defined by the Character Counts Coalition. A tear-out poster is included. Four-color illustrations.
A biography of the first black player in modern American major league baseball, emphasizing the prejudice he had to overcome by sheer courage.
What ever happened to good Christian character and conduct? Character and conduct are inextricably connected. Today’s headlines highlight society’s problems, but then the pundits simplistically push the blame off on big business, big government, or some other faceless entity. Yet—with the exception of natural disasters—most problems are caused by people... people who put money, power, or personal gain ahead of the bedrock values of character and integrity. We are all now collectively paying the price for years of selfish excess brought on by these behaviors. This book is about integrity, character, and values. The key qualities needed to live a life of integrity will be explained and illustrated through the stories of men and women in the Bible. Conduct reveals character, and we best understand integrity when we see it lived out in a person’s life.
Essential information about character education for teachers and others who work with youths. Makes the case for character development in schools and at home, and introduces the CHARACTER COUNTS! initiative.
Everything Counts! is an execution strategy for inspiring excellence and driving exceptional results. Too many people and organizations are mired in a mediocrity of their own making. They focus their attention and efforts on getting the big things right, but they ignore the little things that often make a big difference. As a result, reputations are damaged, brands diluted, and loyalty is lost by blatant disregard for the small stuff which negatively impacts the customer experience. For years, we've been taught not to sweat the small stuff, but in the real world of business, Everything Counts. Everything Counts is a call to greater awareness and with awareness comes a responsibility to raise the performance bar. It offers a powerful operating philosophy that will steer your organization to reach higher levels of growth, productivity, and performance. From the smallest customer contact to the most minute details of product quality, the little things add up to a pretty big deal. Serving as the definitive guide on organizational and personal mastery, this book gives you a foundation for unparalleled customer service, superior quality, and consistent performance. A proven system for organizing, aligning, and improving all your efforts in sales, service, and performance improvement Shows how concentrating on the small things leads to growth, productivity, personal success, and business greatness Helps you motivate your people and teams to achieve better results on both the personal and organizational level Everything Counts reminds us that seemingly small things can make tremendous differences. The purpose of this book is to help you internally define and take ownership of the most fundamental principle behind achieving results beyond you expectations-a single idea with an actionable focus-Everything Counts!
This is a print on demand book and is therefore non- returnable. This series contributes to the growing discipline of practical theology by providing frontline scholarship on major topics in the field, with an emphasis on the emerging international discussion. Written by expert scholars known worldwide, these volumes will be of interest to pastors, students of theology, and those working in the allied fields of sociology, psychology, cultural studies, social work, and medicine. According to the authors of this powerfully reasoned book, only a serious commitment to the Christian ideas of forgiveness and reconciliation can meet the needs of today's troubled world -- and the church must take the lead in this process. Partly a survey of existing attitudes and partly a how-to manual for developing an active "public" church, this book highlights the importance of forgiveness and reconciliation in both congregational life and society, and it traces out the intricacies of making them happen. After discussing common views of human nature and exploring the concepts of forgiveness and reconciliation as found in Scripture and church tradition, Robert Browning and Roy Reed put forth an innovative four-pronged approach integrating recent scientific studies of forgiveness with bold, theologically grounded ministry proposals.
Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. In Julia for Data Analysis you will learn how to: Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Visualize your data Build predictive models Create data processing pipelines Create web services sharing results of data analysis Write readable and efficient Julia programs Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super-fast code execution. Julia for Data Analysis shows you how to take full advantage of this amazing language to read, write, transform, analyze, and visualize data—everything you need for an effective data pipeline. It’s written by Bogumil Kaminski, one of the top contributors to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia’s core data package DataFrames.jl. Its engaging hands-on projects get you into the action quickly. Plus, you’ll even be able to turn your new Julia skills to general purpose programming! Foreword by Viral Shah. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Julia is a great language for data analysis. It’s easy to learn, fast, and it works well for everything from one-off calculations to full-on data processing pipelines. Whether you’re looking for a better way to crunch everyday business data or you’re just starting your data science journey, learning Julia will give you a valuable skill. About the book Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language. You’ll start by reviewing language fundamentals as you practice techniques for data transformation, visualizations, and more. Then, you’ll master essential data analysis skills through engaging examples like examining currency exchange, interpreting time series data, and even exploring chess puzzles. Along the way, you’ll learn to easily transfer existing data pipelines to Julia. What's inside Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Create data processing pipelines Create web services sharing results of data analysis Write readable and efficient Julia programs About the reader For data scientists familiar with Python or R. No experience with Julia required. About the author Bogumil Kaminski iis one of the lead developers of DataFrames.jl—the core package for data manipulation in the Julia ecosystem. He has over 20 years of experience delivering data science projects. Table of Contents 1 Introduction PART 1 ESSENTIAL JULIA SKILLS 2 Getting started with Julia 3 Julia’s support for scaling projects 4 Working with collections in Julia 5 Advanced topics on handling collections 6 Working with strings 7 Handling time-series data and missing values PART 2 TOOLBOX FOR DATA ANALYSIS 8 First steps with data frames 9 Getting data from a data frame 10 Creating data frame objects 11 Converting and grouping data frames 12 Mutating and transforming data frames 13 Advanced transformations of data frames 14 Creating web services for sharing data analysis results