Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Practical Python Data Wrangling and Data Quality
There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, evaluate, and analyze data to generate meaningful insights and compelling visualizations. Through foundational concepts and worked examples, author Susan McGregor provides the concepts and tools you need to evaluate and analyze all kinds of data and communicate your findings effectively. This book provides a methodical, jargon-free way for practitioners of all levels to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Complete exercises either on your own machine or on the web Collect data from structured data files, web pages, and APIs Perform basic statistical analysis to make meaning from data sets Visualize and present data in clear and compelling ways.
Information Security Essentials
As technological and legal changes have hollowed out the protections that reporters and news organizations have depended upon for decades, information security concerns facing journalists as they report, produce, and disseminate the news have only intensified. From source prosecutions to physical attacks and online harassment, the last two decades have seen a dramatic increase in the risks faced by journalists at all levels even as the media industry confronts drastic cutbacks in budgets and staff. As a result, few professional or aspiring journalists have a comprehensive understanding of what is required to keep their sources, stories, colleagues, and reputations safe. This book is an essen...
Rome from the Ground Up
Rome is not one city but many, each with its own history unfolding from a different center: now the trading port on the Tiber; now the Forum of antiquity; the Palatine of imperial power; the Lateran Church of Christian ascendancy; the Vatican; the Quirinal palace. Beginning with the very shaping of the ground on which Rome first rose, this book conjures all these cities, past and present, conducting the reader through time and space to the complex and shifting realities—architectural, historical, political, and social—that constitute Rome. A multifaceted historical portrait, this richly illustrated work is as gritty as it is gorgeous, immersing readers in the practical world of each peri...
Practical Data Science with SAP
Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data. Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths. You'll explore: Examples of how data analysis can help you solve several SAP challenges Natural language processing for unlocking the secrets in text Data science techniques for data clustering and segmentation Methods for detecting anomalies in your SAP data Data visualization techniques for making your data come to life
Even the Dogs
"A ferocious book, at once intense and alarmingly unsentimental" (James Wood, The New Yorker), this intimate exploration of life at the edges of society is littered with love, loss, despair, and a half–glimpse of redemption―now reissued with an introduction by Yiyun Li On a cold, quiet day between Christmas and the New Year, a man's body is found in an abandoned apartment. His friends look on, but they're dead, too. Their bodies found in squats and sheds and alleyways across the city. Victims of heroin, they're ghosts in the shadows, a chorus keeping vigil as the hours pass, paying their own particular homage as their friend's body is taken away, examined, investigated, and cremated. All...
Practical Synthetic Data Generation
Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data—fake data generated from real data—so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue. Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will s...
Understanding and Evaluating Research
Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.
How Learning Works
Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I hav...
Regulating Charities
In this volume charity commissioners and leading charity policy reformers from across the world reflect on the aims and objectives of charity regulation and what it has achieved. Regulating Charities represents an insider’s review of the last quarter century of charity law policy and an insight for its future development. Charity Commissioners and nonprofit regulatory agency heads chart the nature of charity law reforms that they have implemented, with a ‘warts and all’ analysis. They are joined by influential sector reformers who assess the outcomes of their policy agitation. All reflect on the current state of charities in a fiscally restrained environment, often with conservative governments, and offer their views on productive regulatory paths available for the future. This topical collection brings together major charity regulation actors, and will be of great interest to anyone concerned with contemporary third sector policy-making, public administration and civil society.
Practical Web Scraping for Data Science
This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they...
