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Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs.
This is a book that attempts to show an atheist's perspective on religions and social issues. Since believers rarely paint atheists in a favorable light, it is hoped the reader will gain insights into modern atheism, and make up their own minds. Just as it would be foolish to only take an atheist's view on religious matters, it would be equally unfair to only listen to the believer's presentation of atheism. Being able to hear both sides of an issue is essential for reasonable understanding. In this book I address a wide variety of topics and scenarios, and present my views on them, and in particular offer critiques on religious belief. It seems to me, many of the issues threatening our freedoms and quality of life derive from very poor critical thinking skills, unquestioning acceptance of religious beliefs and sacred cows, religious or not. Some essays are personal, most are not; all hope the reader will be open minded and willing to think critically. While not an academic textbook, if the reader is really interested in learning about atheism, and on why atheists think religions are deeply flawed and dangerous, or if they would like to test their beliefs against the yardsticks I offer, then I think they will find the material interesting, and hopefully, thought provoking.
Create interactive and data-driven dashboards using Python. This hands-on guide is a practical resource for those (with modest programming skills) in scientific and engineering fields looking to leverage Python's power for data visualization and analysis in a user-friendly dashboard format.Yoüll begin by gaining a fundamental understanding of Python programming, including data types, lists, dictionaries, and data structures. The book then delves into the world of reactive programming with Plotly and Dash, offering a hands-on approach to building interactive web-based dashboards. Next, yoüll see how to work with online data, how to scrape and clean datasets, and keep files up-to-date. The book also guides you through planning a dashboard prototype, outlining project tasks, trends, forecasts, spectra, and other design considerations. It concludes with a discussion of how the dashboard can be used for data visualization of real data, explaining the usefulness of tools such as spectra.By providing detailed examples for download and customization, Prototyping Python Dashboards for Scientists and Engineers will equip you with the skills needed to jumpstart your own development efforts.What Yoüll LearnDesign a dashboard with PythonConvert and filter Excel formatted files to produce CSV filesCreate browser-served graphics with PLOTLYGenerate polynomial trend lines for forecastingBuild a Unix service to share your dashboardWho This Book Is ForScientists, engineers, students, programmers, and data enthusiasts who aspire to harness Python's potential for data visualization and analysis through the creation of interactive dashboards. Many will be pragmatic programmers with modest skills and limited resources who mainly want to see a working solution they could emulate.
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