|
|
|
 English | 2022 | ISBN: 1803242000 | 430 pages | True EPUB | 6.66 MB Learn how to write a simple testing framework and extend it to drive the design of your logging library  English | 2022 | ISBN: 1470469383 | 257 pages | True PDF | 9.58 MB Teaching Statistics Using Baseball is a collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports since players are identified and evaluated by their corresponding hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. Students often have difficulty learning statistics ideas since they are explained using examples that are foreign to the students. The idea of the book is to describe statistical thinking in a context (that is, baseball) that will be familiar and interesting to students. The book is organized using a same structure as most introductory statistics texts. There are chapters on the analysis on a single batch of data, followed with chapters on comparing batches of data and relationships. There are chapters on probability models and on statistical inference. The book can be used as the framework for a one-semester introductory statistics class focused on baseball or sports. This type of class has been taught at Bowling Green State University. It may be very suitable for a statistics class for students with sports-related majors, such as sports management or sports medicine. Alternately, the book can be used as a resource for instructors who wish to infuse their present course in probability or statistics with applications from baseball. The second edition of Teaching Statistics follows the same structure as the first edition, where the case studies and exercises have been replaced by modern players and teams, and the new types of baseball data from the PitchFX system and fangraphs.com are incorporated into the text.  English | 2023 | ISBN: 1071627392 | 382 pages | True PDF EPUB | 43.57 MB This second edition volume provides new and updated chapters detailing simple and accessible experiment protocols to explore thymus biology. Chapters are divided into three parts presenting short reviews, analysis strategies, protocols for cell preparation, flow cytometry analyses, Innate Lymphoid Cells (ILC), mouse T-cell development, antigen receptor-less cousins of T cells, bone marrow chimeras, thymic stroma, and multiple aspects of thymocyte biology. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.
 English | 2023 | ISBN: 3031164881 | 245 pages | True PDF EPUB | 17.21 MB This book provides insights from research and practice in how organizations were able to sustain resilience in their global supply chains during the COVID-19 pandemic and to advance the understanding of supply chain risk management. The chapters highlight the lessons learned, insist on new models for resilience, suggest improved supply chain risk methodologies and bridge the gap between research and practice. It helps readers acquire greater knowledge, strategic approaches, new methods, and practical tools for ensuring global supply chain resilience.  English | 2022 | ISBN: 1419753568 | 392 pages | True EPUB | 8.61 MB An alternative history of 20th-century composers—nearly all of them women or composers of color—by a leading international music critic
 English | 2022 | ISBN: 978-1032182810 | 352 pages | True PDF | 17.92 MB This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programming, Big Data analytics, NoSQL databases, connected objects, and edge-fog-cloud computing form the basis of the concepts and applications discussed. The book also presents a number of case studies to demonstrate smart trajectories related to spatiotemporal events such as traffic congestion and pedestrian accidents.  English | 2022 | ISBN: 1784778702 | 662 pages | True EPUB | 37.75 MB Holidays are a precious time of nourishment for families and this book will lead parents to a whole host of wonderful experiences for all ages across the UK that focus on the local, the authentic, the sustainable, the educational and the damn good fun. It's also a little black book of the most authentic, interesting and child-friendly places to stay and eat.  English | 2022 | ISBN: 1032105348 | 219 pages | True PDF | 14.42 MB Sexuality is the fifth revised and updated edition of the classic text for understanding human sexuality. This new edition brings the arguments and evidence fully up to date and explores their implication for many topical controversies, around LGBTQ+ rights, the trans experience and gender fluidity, same-sex marriage, sexual autonomy and consent, and the meanings of sexual choice.  English | 2022 | ISBN: 1801813558 | 254 pages | True EPUB | 5.07 MB Learn data architecture essentials and prepare for the Salesforce Certified Data Architect exam with the help of tips and mock test questions  English | 2022 | ISBN: 1470461552 | 495 pages | True PDF | 30.79 MB As the open-source and free alternative to expensive software like Maple™, Mathematica®, and MATLAB®, Sage offers anyone with a web browser the ability to use cutting-edge mathematical software and share the results with others, often with stunning graphics. This book is a gentle introduction to Sage for undergraduate students during Calculus II, Multivariate Calculus, Differential Equations, Linear Algebra, Math Modeling, or Operations Research. This book assumes no background in programming, but the reader who finishes the book will have learned about 60 percent of a first semester computer science course, including much of the Python programming language. The audience is not only math majors, but also physics, engineering, environmental science, finance, chemistry, economics, data science, and computer science majors. Many of the book's examples are drawn from those fields. Filled with "challenges" for the students to test their progress, the book is also ideal for self-study. What's New in the Second Edition: In 2019, Sage transitioned from Python 2 to Python 3, which changed the syntax in several significant ways, including for the print command. All the examples in this book have been rewritten to be compatible with Python 3. Moreover, every code block longer than four lines has been placed in an archive on the book's websitehttp://www.sage-for-undergraduates.org that is maintained by the author, so that the students won't have to retype the code! Other additions include. The number of "challenges" for the students to test their own progress in learning Sage has roughly doubled, which will be a great boon for self-study.There's approximately 150 pages of new content, including: New projects on Leontief Input-Output Analysis and on Environmental ScienceNew sections on Complex Numbers and Complex Analysis, on SageTex, and on solving problems via Monte-Carlo Simulations.The first three sections of Chapter 1 have been completely rewritten to give absolute beginners a smoother transition into Sage. |
: 