Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific libraries
Key Features
Compute complex mathematical problems using programming logic with the help of step-by-step recipes
Learn how to utilize Python's libraries for computation, mathematical modeling, and statistics
Discover simple yet effective techniques for solving mathematical equations and apply them in real-world statistics
Book Description
Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain.
The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.
By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.
What you will learn
Get familiar with basic packages, tools, and libraries in Python for solving mathematical problems
Explore various techniques that will help you to solve computational mathematical problems
Understand the core concepts of applied mathematics and how you can apply them in computer science
Discover how to choose the most suitable package, tool, or technique to solve a certain problem
Implement basic mathematical plotting, change plot styles, and add labels to the plots using Matplotlib
Get to grips with probability theory with the Bayesian inference and Markov Chain Monte Carlo (MCMC) methods
Who this book is for
This book is for professional programmers and students looking to solve mathematical problems computationally using Python. Advanced mathematics knowledge is not a requirement, but a basic knowledge of mathematics will help you to get the most out of this book. The book assumes familiarity with Python concepts of data structures.
Автор: Quirk Thomas J. Название: Excel 2019 for Business Statistics: A Guide to Solving Practical Problems ISBN: 3030392600 ISBN-13(EAN): 9783030392604 Издательство: Springer Цена: 79190.00 T Наличие на складе: Поставка под заказ. Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Preface.- Acknowledgements.- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- 2 Random Number Generator.- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- 4 One-Group t-Test for the Mean.- 6 Correlation and Simple Linear Regression.- 7 Multiple Correlation and Multiple Regression.- 8 One-Way Analysis of Variance (ANOVA).- Appendix A: Answers to End-of-Chapter Practice Problems.- Appendix B: Practice Test.- Appendix C: Answers to Practice Test.- Appendix D: Statistical Formulas.- Appendix E: t-table.- Index.
Preface.- Acknowledgements.- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- 2 Random Number Generator.- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- 4 One-Group t-Test for the Mean.- 5 Two-Group t-Test of the Difference of the Means for Independent Groups.- 6 Correlation and Simple Linear Regression.- 7 Multiple Correlation and Multiple Regression.- 8 One-Way Analysis of Variance (ANOVA).- Appendix A: Answers to End-of-Chapter Practice Problems.- Appendix B: Practice Test.- Appendix C: Answers to Practice Test.- Appendix D: Statistical Formulas.- Appendix E: t-table.- Index.
Автор: Quirk Thomas J. Название: Excel 2019 in Applied Statistics for High School Students: A Guide to Solving Practical Problems ISBN: 3030667553 ISBN-13(EAN): 9783030667559 Издательство: Springer Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems.
Newly revised for Excel 2019, this text is a step-by-step guide for students taking a first course in statistics for advertising and for advertising managers and practitioners who want to learn how to use Excel to solve practical statistics problems in the workplace, whether or not they have taken a course in statistics.
Excel 2019 for Advertising Statistics explains statistical formulas and offers practical examples for how students can solve real-world advertising statistics problems. Each chapter offers a concise overview of a topic, and then demonstrates how to use Excel commands and formulas to solve specific advertising statistics problems. This book demonstrates how to use Excel 2019 in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific practical advertising statistics problem using Excel; the solution to each of these problems is also given in an appendix. This latest edition features a wealth of new end-of-chapter problems and an update of the chapter content throughout.
Автор: Quirk Thomas J. Название: Excel 2019 for Educational and Psychological Statistics: A Guide to Solving Practical Problems ISBN: 3030392635 ISBN-13(EAN): 9783030392635 Издательство: Springer Цена: 55890.00 T Наличие на складе: Поставка под заказ. Описание: Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching educational and psychological statistics effectively.
Автор: Quirk Thomas J., Cummings Simone M. Название: Excel 2019 for Social Work Statistics: A Guide to Solving Practical Problems ISBN: 3030682560 ISBN-13(EAN): 9783030682569 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Поставка под заказ. Описание: Excel 2019 for Social Work Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.
Автор: Quirk Thomas J., Cummings Simone M. Название: Excel 2019 for Health Services Management Statistics: A Guide to Solving Practical Problems ISBN: 3030578275 ISBN-13(EAN): 9783030578275 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book shows the capabilities of Microsoft Excel in teaching health services management statistics effectively. Similar to the previously published Excel 2016 for Health Services Management Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical health services management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in health services courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2019 for Health Services Management Statistics: A Guide to Solving Practical Problems, 2nd Edition capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand health services management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.
Автор: Quirk Thomas J. Название: Excel 2019 for Engineering Statistics: A Guide to Solving Practical Problems ISBN: 3030392775 ISBN-13(EAN): 9783030392772 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively.
Автор: Karen Tracy, Robert T. Craig Название: Grounded Practical Theory: Investigating Communication Problems ISBN: 1516545583 ISBN-13(EAN): 9781516545582 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 50120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Grounded Practical Theory: Investigating Communication Problems provides readers with an introduction to grounded practical theory (GPT), a framework for doing research about the problems people encounter when they engage in particular communicative practices, techniques for managing those problems, and normative ideas for how to communicate wisely in situations that involve tensions and dilemmas.
Readers learn about the philosophy behind GPT and how its application can strengthen and improve existing communication practices. They review a detailed road map and practical examples for conducting GPT research, including how to analyze discourse. They also learn how past researchers have creatively adapted GPT to study and reconstruct a variety of communicative practices. The text compares GPT with other qualitative approaches and offers guidance for how to choose among different methods. The book concludes with considerations of how GPT may be used in the future.
Grounded Practical Theory is an ideal book for graduate-level courses in qualitative methods or communication theory and an excellent resource for practicing communication scholars and researchers.
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