Learning to Program With Matlab

Python is today's fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader's hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use.

A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud o

This book is richly illustrated with MATLAB and etap (Electrical Transient Analysis Program) to succinctly illustrate concepts throughout, and includes examples, case studies, and problems.

How gains from early childhood experiences are initiated, increased, sustained, and affect life-course development are fundamental to science and society. They also have increasing policy relevance, given public investments in early learning programs and the need to measure their effectiveness in promoting well-being. With contributions from leading researchers across many disciplines, this book emphasizes key interventions and practices over the first decade of life and the elements and strategies through which gains can be enhanced by schools, families, communities, and public institutions. Three critical themes are addressed: firstly, the importance of documenting and understanding the impact of investments in early childhood and school-age years. Secondly, increased priority on elements and principles for scaling effective programs and practices to benefit all children. Thirdly, a focus on multiple levels of strategies for sustaining gains and promoting long-term effects, ranging f

Second EditionThis book introduces the reader to the principles of assessment of student learning outcomes in the context of program review, and illustrates how to implement a sustainable outcomes-bas

Second EditionThis book introduces the reader to the principles of assessment of student learning outcomes in the context of program review, and illustrates how to implement a sustainable outcomes-bas

Today's workers need a blended approach to learning that offers flexibility and personalization. Blended Learning is packed with easy-to-apply techniques to ensure your blended learning program is

Not every school has the time, resources, capacity,or conditions to implement a schoolwideSEL program. But prioritizing SEL need not taketime from instruction. This book draws on the latestresearch an

Get ready for Kindergarten! It’s fun to stay summer smart and stop summer slide with Summer Brain Quest, which offers a whole program of curriculum-based activities and learning adventures structured

Whether you have a traditional PC or a souped-up tablet with a touch screen, Windows 10 In Depth is just the guide you need to get through the learning curve and become a Windows 10 expert. The

Learning is supported by a best-in-class full-color art program, including hundreds of original illustrations that make it easy to understand structures, mechanisms, and processes in the brain. Many additional graphical elements have been reproduced from primary research sources, bringing the learner closer to the science behind the subject matter.Every chapter includes a special feature called "The Cutting Edge" that highlights an up-to-the-moment discovery or technical innovation, while illustrating the logic and methodology of experimentation and hypothesis testingEach chapter ends with a unique feature, the "Visual Summary," a poster-like layout that provides a graphical review of the major topics of the chapter and directs students to the interactive online version that pulls up figures and animations to reinforce each pointThe text is supported by a rich array of internet-based resources, including a clearinghouse of more than 25,000 web links sorted by chapter and topicMore than

As part of the Pocket Primer series, this book provides an overview of the major concepts to program in the language of C. Companion files with source code from the book and figures are included.Featu

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic processes, functional analysis, numerical analysis, and differential geometry. It describes two classes of computational methods to leverage data for modeling dynamical systems. The first is concerned with data fitting algorithms to estimate parameters in parametric models that are postulated on the basis of physical or dynamical laws. The second is on operator estimation, which uses the data to nonparametrically approximate the operator generated by the transition function of the underlying dynamical systems. This self-contained book is suitable for graduate studies in applied mathematics, statistics, and engineering. Carefully chosen elementary examples with supplementary MATLAB® codes and append

This book provides a comprehensive introduction to the analysis of subsidence in sedimentary basins. It presents BasinVis 2.0, a MATLAB-based program for visualizing the three types of subsidence with

With a new full-color design and art program Orthopaedics for the Physical Therapist Assistant, Second Edition presents a broad overview of the field of orthopaedics. Written for students studying to

With a taxonomic approach to the disease chapters, this book uses case studies and analogies to thoroughly explain difficult microbiology concepts. It offers a robust learning program with student-foc

Learn to read with help from your favorite Pokémon! This boxed set of twelve easy-to-read books is designed just for kids learning their letter sounds. The fun, action-packed stories in each book feat