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Even those who donâ t like math are interested in food. Kitchen Math serves up 38 activities connecting basic math operations to purchasing, preparing, cooking, and serving different dishes. Whatâ s really the best price on yogurt? How long should you cook the eggs? How do you read nutrition labels? Your students will practice fundamental math skills while they solve real-life cooking, shopping, and planning scenarios. Comprehensive teacher materials incldue lesson objectives, teaching notes, pre- and post-tests, and complete answer keys.
Audisee® eBooks with Audio combine professional narration and text highlighting for an engaging read aloud experience! Math is everywhere in the kitchen! See what's cooking inside this book—and how we need math to finish the job! You'll need your math smarts to help measure ingredients, calculate cooking times, add and subtract fractions, double and halve recipes, convert cups to ounces and back again, and more. It all adds up to a lot of fun!
Culinary Nutrition: The Science and Practice of Healthy Cooking is the first textbook specifically written to bridge the relationship between food science, nutrition and culinology as well as consumer choices for diet, health and enjoyment. The book uses a comprehensive format with real-life applications, recipes and color photographs of finished dishes to emphasize the necessity of sustainably deliverable, health-beneficial and taste-desirable products. With pedagogical elements to enhance and reinforce learning opportunities, this book explores what foods involve the optimum nutritional value for dietary needs, including specific dietary requirements and how foods are produced. It also considers alternative production methods, along with the impact of preparation on both the nutritional value of a food and its consumer acceptability. Other discussions focus on the basics of proteins, carbohydrates, and lipids, issues of diet and disease such as weight management, and food production and preparation. Laboratory-type, in-class activities are presented using limited materials and applications of complex concepts in real-life situations. This book will be a valuable resource for undergraduate students in culinary nutrition, nutrition science, food science and nutrition, and culinary arts courses. It will also appeal to professional chefs and food scientists as well as research chefs in product development. - Gourmand World Cookbook Awards 2014: USA, Best Author or Chef for Professionals, Gourmand International - Global Food Industry Awards 2014: Special Mention in Communicating Science-Related Knowledge to Consumers Aimed at Improving their Lifestyle, International Union of Food Science and Technology (IUFoST) - Explores the connections among the technical sciences of nutrition, food science and the culinary arts as well as consumer choices for diet, health and enjoyment - Presents laboratory-type, in-class activities using limited materials and real-life applications of complex concepts - Includes photographs and recipes to enhance learning experience
The math contained in taxes, banking, loans, and encountered in restaurants, boutiques, travel, hobbies, gambling, and home improvement is presented for the non-math person.
DESCRIPTION Streamlit Essentials is a comprehensive guide aimed at helping you build interactive data applications using Python. With easy-to-use syntax, it allows developers to quickly build visualizations, dashboards, and machine learning models. This book is a practical guide to building data science applications using the Streamlit framework. It covers everything from installation to advanced topics like ML integration and deployment. With real-world projects and examples, you will learn how to use Streamlit's widgets, styling, and data visualization tools to create dynamic real-time dashboards, containerize your applications with Docker, securely handle sensitive data, and deploy the applications on leading cloud platforms, all while building practical projects that can be added to enhance your portfolio. Throughout the book, you will develop the skills needed to turn data insights into interactive visualizations, ensuring your projects are not only functional but also engaging. The focus is hands-on learning, with step-by-step guidance to help you build, optimize, and share your work. By the time you have completed this book, you will be able to confidently deploy applications, showcase your skills through a professional portfolio, and position yourself for success. KEY FEATURES ● Learn how to present data insights quickly and clearly using Streamlit for smoother collaboration between business and tech teams. ● Master Streamlit’s core and advanced features through hands-on projects like product recommenders. ● Build and deploy data applications while exploring over 25 project ideas to enhance your Streamlit skills. ● Explore the Gen AI toolkit to speed up your development cycle from ideation to deployment. WHAT YOU WILL LEARN ● Understanding of Streamlit's capabilities, from its core functionalities to advanced features. ● Create engaging and informative visualizations using Streamlit's extensive library of charts, graphs, and maps. ● Develop efficiently using time-saving techniques for rapid prototyping and iterative development. ● Optimize app performance with advanced topics like caching, session tracking, and theming. ● Create a compelling portfolio to demonstrate your Streamlit proficiency. WHO THIS BOOK IS FOR Whether you are a data scientist, analyst, developer, or business professional, this book will provide you with the knowledge and skills needed to build engaging and informative dashboards, visualizations, and ML models. TABLE OF CONTENTS 1. Introduction to Streamlit 2. Getting Started with Streamlit 3. Exploring Streamlit Widgets 4. Styling and Layouts in Streamlit 5. Data Visualization with Streamlit 6. Streamlit and Machine Learning 7. Advanced Streamlit Concepts 8. Deployment of Streamlit Apps 9. Hands-On Projects: Easy 10. Hands-On Projects: Intermediate 11. Hands-On Projects: Advanced 12. Build and Enhance Your Portfolio 13. Enhancing Streamlit Development with AI Tools Appendix A: Streamlit Cheat Sheet Appendix B: Additional Resources and References Appendix C: Docker 101: Beginner’s Guide to Containers
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