Computing & IT: T-Levels

This book is an introduction to programming concepts that uses Python 3 as the target language. It covers basic computer concepts such as loops, strings, functions, files, graphics, multimedia, algorithms, classes, writing code, etc. Many examples are based on video games because Python has become the language of choice for basic game development.

Learn more about health and safety with this NEBOSH-endorsed textbook. Matched to the NEBOSH National General Certificate in Occupational Health and Safety Practice Introduction to Health and Safety at Work, 5thedition covers the basics of occupational safety and health. It covers all the essential elements of health and safety management, the legal framework, risk assessment and control standards and includes checklists, report forms and record sheets. In addition, useful topics outside the syllabus have been included and an additional chapter to cover other aspects of health and safety and related topics that many readers will find helpful on completion of the course - construction activities, environmental considerations and international issues.

Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace. This comprehensive book provides guidance on the different aspects of data with the aim to be able to improve data quality. Specifically, the book addresses: Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality Butterfly effect of data quality A detailed description of data quality dimensions and their measurement Data quality strategy approach Six Sigma - DMAIC approach to data quality Data quality management techniques Data quality in relation to data initiatives like data migration, MDM, data governance, etc. Data quality myths, challenges, and critical success factors Students, academicians, professionals, and researchers can all use the content in this book to further their knowledge and get guidance on their own specific projects. It balances technical details (for example, SQL statements, relational database components, data quality dimensions measurements) and higher-level qualitative discussions (cost of data quality, data quality strategy, data quality maturity, the case made for data quality, and so on) with case studies, illustrations, and real-world examples throughout.