Scientist I Solve Problems You Dont Know Notebook
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| Author | : Workman Publishing |
| Publisher | : Workman Publishing Company |
| Total Pages | : 519 |
| Release | : 2020-09-01 |
| Genre | : Young Adult Nonfiction |
| ISBN | : 1523504250 |
Chemistry? No problem! This Big Fat Notebook covers everything you need to know during a year of high school chemistry class, breaking down one big bad subject into accessible units. Learn to study better and get better grades using mnemonic devices, definitions, diagrams, educational doodles, and quizzes to recap it all. Including: Atoms, elements, compounds and mixtures The periodic table Quantum theory Bonding The mole Chemical reactions and calculations Gas laws Solubility pH scale Titrations Le Chatelier's principle ...and much more!
| Author | : Joseph Gallant |
| Publisher | : John Wiley & Sons |
| Total Pages | : 527 |
| Release | : 2012-05-29 |
| Genre | : Science |
| ISBN | : 047066598X |
The goal of this book is to teach undergraduate students how to use Scientific Notebook (SNB) to solve physics problems. SNB software combines word processing and mathematics in standard notation with the power of symbolic computation. As its name implies, SNB can be used as a notebook in which students set up a math or science problem, write and solve equations, and analyze and discuss their results. Written by a physics teacher with over 20 years experience, this text includes topics that have educational value, fit within the typical physics curriculum, and show the benefits of using SNB. This easy-to-read text: Provides step-by-step instructions for using Scientific Notebook (SNB) to solve physics problems Features examples in almost every section to enhance the reader's understanding of the relevant physics and to provide detailed instructions on using SNB Follows the traditional physics curriculum, so it can be used to supplement teaching at all levels of undergraduate physics Includes many problems taken from the author’s class notes and research Aimed at undergraduate physics and engineering students, this text teaches readers how to use SNB to solve some everyday physics problems.
| Author | : Andy Weir |
| Publisher | : Ballantine Books |
| Total Pages | : 497 |
| Release | : 2021-05-04 |
| Genre | : Fiction |
| ISBN | : 0593135210 |
#1 NEW YORK TIMES BESTSELLER • From the author of The Martian, a lone astronaut must save the earth from disaster in this “propulsive” (Entertainment Weekly), cinematic thriller full of suspense, humor, and fascinating science—in development as a major motion picture starring Ryan Gosling. HUGO AWARD FINALIST • ONE OF THE YEAR’S BEST BOOKS: Bill Gates, GatesNotes, New York Public Library, Parade, Newsweek, Polygon, Shelf Awareness, She Reads, Kirkus Reviews, Library Journal • “An epic story of redemption, discovery and cool speculative sci-fi.”—USA Today “If you loved The Martian, you’ll go crazy for Weir’s latest.”—The Washington Post Ryland Grace is the sole survivor on a desperate, last-chance mission—and if he fails, humanity and the earth itself will perish. Except that right now, he doesn’t know that. He can’t even remember his own name, let alone the nature of his assignment or how to complete it. All he knows is that he’s been asleep for a very, very long time. And he’s just been awakened to find himself millions of miles from home, with nothing but two corpses for company. His crewmates dead, his memories fuzzily returning, Ryland realizes that an impossible task now confronts him. Hurtling through space on this tiny ship, it’s up to him to puzzle out an impossible scientific mystery—and conquer an extinction-level threat to our species. And with the clock ticking down and the nearest human being light-years away, he’s got to do it all alone. Or does he? An irresistible interstellar adventure as only Andy Weir could deliver, Project Hail Mary is a tale of discovery, speculation, and survival to rival The Martian—while taking us to places it never dreamed of going.
| Author | : Michael P. Klentschy |
| Publisher | : NSTA Press |
| Total Pages | : 137 |
| Release | : 2008 |
| Genre | : Education |
| ISBN | : 1933531037 |
A valuable resource for helping students develop and demonstrate an understanding of science content.
| Author | : Yihui Xie |
| Publisher | : CRC Press |
| Total Pages | : 140 |
| Release | : 2016-12-12 |
| Genre | : Mathematics |
| ISBN | : 1351792601 |
bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.
| Author | : |
| Publisher | : Kendall Hunt |
| Total Pages | : 304 |
| Release | : 2003 |
| Genre | : Activity programs in education |
| ISBN | : 9780787265359 |
Students explore the unique characteristics of liquids, compare different liquids, and examine how solids and liquids interact with each other. They discover how three liquids--corn syrup, oil, and water--behave when mixed. Students then investigate floating and sinking and some of the variables that affect how solid objects behave in liquids of different densities. Each Teacher Guide includes: Specific teaching and management strategies Detailed teaching sequences for teaching the first three phases of the Learning Experience (Getting Started; Exploring and Discovering; and Processing For Meaning) Reproducible masters for Student Science Notebook pages, Group Recording Sheets, and Home-School Worksheets Extension activities in science, language arts and social studies Assessment materials (an introductory questionnaire, embedded assessments, and a final questionnaire consisting of performance and written components) Science Background (provides general science concepts as they are introduced and developed in the module) to help prepare teacher Teacher and Student Resources section (annotated lists of children's books, teacher reference books, and technological aids)
| Author | : Bill Nye |
| Publisher | : Rodale |
| Total Pages | : 386 |
| Release | : 2017-07-11 |
| Genre | : Science |
| ISBN | : 1623367913 |
In the New York Times bestseller Everything All at Once, Bill Nye shows you how thinking like a nerd is the key to changing yourself and the world around you. Everyone has an inner nerd just waiting to be awakened by the right passion. In Everything All at Once, Bill Nye will help you find yours. With his call to arms, he wants you to examine every detail of the most difficult problems that look unsolvable—that is, until you find the solution. Bill shows you how to develop critical thinking skills and create change, using his “everything all at once” approach that leaves no stone unturned. Whether addressing climate change, the future of our society as a whole, or personal success, or stripping away the mystery of fire walking, there are certain strategies that get results: looking at the world with relentless curiosity, being driven by a desire for a better future, and being willing to take the actions needed to make change happen. He shares how he came to create this approach—starting with his Boy Scout training (it turns out that a practical understanding of science and engineering is immensely helpful in a capsizing canoe) and moving through the lessons he learned as a full-time engineer at Boeing, a stand-up comedian, CEO of The Planetary Society, and, of course, as Bill Nye The Science Guy. This is the story of how Bill Nye became Bill Nye and how he became a champion of change and an advocate of science. It’s how he became The Science Guy. Bill teaches us that we have the power to make real change. Join him in… dare we say it… changing the world.
| Author | : Catherine Nelson |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 258 |
| Release | : 2024-04-16 |
| Genre | : Computers |
| ISBN | : 1098136179 |
Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to data science. Examples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this guide covers the essential topics that are often missing from introductory data science or coding classes, including how to: Understand data structures and object-oriented programming Clearly and skillfully document your code Package and share your code Integrate data science code with a larger code base Learn how to write APIs Create secure code Apply best practices to common tasks such as testing, error handling, and logging Work more effectively with software engineers Write more efficient, maintainable, and robust code in Python Put your data science projects into production And more
| Author | : Matt Eland |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 404 |
| Release | : 2024-08-30 |
| Genre | : Computers |
| ISBN | : 1835882978 |
ProgExpand your skillset by learning how to perform data science, machine learning, and generative AI experiments in .NET Interactive notebooks using a variety of languages, including C#, F#, SQL, and PowerShell Key Features Learn Conduct a full range of data science experiments with clear explanations from start to finish Learn key concepts in data analytics, machine learning, and AI and apply them to solve real-world problems Access all of the code online as a notebook and interactive GitHub Codespace Purchase of the print or Kindle book includes a free PDF eBook Book Description As the fields of data science, machine learning, and artificial intelligence rapidly evolve, .NET developers are eager to leverage their expertise to dive into these exciting domains but are often unsure of how to do so. Data Science in .NET with Polyglot Notebooks is the practical guide you need to seamlessly bring your .NET skills into the world of analytics and AI. With Microsoft’s .NET platform now robustly supporting machine learning and AI tasks, the introduction of tools such as .NET Interactive kernels and Polyglot Notebooks has opened up a world of possibilities for .NET developers. This book empowers you to harness the full potential of these cutting-edge technologies, guiding you through hands-on experiments that illustrate key concepts and principles. Through a series of interactive notebooks, you’ll not only master technical processes but also discover how to integrate these new skills into your current role or pivot to exciting opportunities in the data science field. By the end of the book, you’ll have acquired the necessary knowledge and confidence to apply cutting-edge data science techniques and deliver impactful solutions within the .NET ecosystem. What you will learn Load, analyze, and transform data using DataFrames, data visualization, and descriptive statistics Train machine learning models with ML.NET for classification and regression tasks Customize ML.NET model training pipelines with AutoML, transforms, and model trainers Apply best practices for deploying models and monitoring their performance Connect to generative AI models using Polyglot Notebooks Chain together complex AI tasks with AI orchestration, RAG, and Semantic Kernel Create interactive online documentation with Mermaid charts and GitHub Codespaces Who this book is for This book is for experienced C# or F# developers who want to transition into data science and machine learning while leveraging their .NET expertise. It’s ideal for those looking to learn ML.NET and Semantic kernel and extend their .NET skills to data science, machine learning, and Generative AI Workflows.rammer’s guide to data science using ML.NET, OpenAI, and Semantic Kernel
| Author | : Judy Reinhartz |
| Publisher | : Corwin Press |
| Total Pages | : 294 |
| Release | : 2015-03-25 |
| Genre | : Education |
| ISBN | : 1483388662 |
Foster life-long teacher learning embedded in effective teaching practices and the science standards Growing Language Through Science offers a model for contextualizing language and promoting academic success for all students, particularly English learners in the K-5 science classroom, through a highly effective approach that integrates inquiry-based science lessons with language rich hand-on experiences. You’ll find A wealth of instructional tools to support and engage students, with links to the Next Generation Science Standards (NGSS) Presentation and assessment strategies that accommodate students’ diverse needs Ready-to-use templates and illustrations to enrich the textual discussion Field-tested teaching strategies framed in the 5Es used in monolingual and bilingual classrooms
