Interactive Big Book Science Little Book Sampler Set 3

Interactive Big Book Science Little Book Sampler Set 3
Author: Abrams Learning Trends Staff
Publisher:
Total Pages:
Release: 2007-01-01
Genre:
ISBN: 9780766420212

Ten research-based, nonfiction 61/2 X 91/4, 16 page smaller versions of the interactive big books with attractive real-life photographs. Children continue to develop science process skills by exploring science topics in each strand. (1 each of 10).

Interactive Big Book Science Little Books Sampler Set 2

Interactive Big Book Science Little Books Sampler Set 2
Author: Abrams Learning Trends Staff
Publisher:
Total Pages:
Release: 2006-01-01
Genre:
ISBN: 9780766416154

Ten research-based, nonfiction 6 1/2 x 9 1/4, 16-page smaller versions of the interactive big books with attractive real-life photographs. Children explore additional science topics while continuing the development of science process skills. (1 of each title)

Interactive Big Book Science Little Books Set 1

Interactive Big Book Science Little Books Set 1
Author: Abrams Learning Trends Staff
Publisher:
Total Pages:
Release: 2005-01-01
Genre:
ISBN: 9780766415218

This set includes 60 books, six each of ten titles: research-based, nonfiction 6 1/2 x 9 1/4, 16-page, little book versions of Big Book Science. Children explore science topics and begin the development of science process skills with informative text and attractive, real-life photos.

Science Is Everywhere! Interactive Big Book Pack

Science Is Everywhere! Interactive Big Book Pack
Author: Nancy Yu
Publisher:
Total Pages:
Release: 2006-01-01
Genre:
ISBN: 9780766415898

Introduce children to science and chemical changes in the classroom, in the kitchen, and in the world around them. Why do things rust, dissolve, melt, or evaporate? Read and find out! 14 x 20, 16 pages. Includes teacher's guide and interactive components.

Big Book of Science Workbook: Scholastic Early Learners (Workbook)

Big Book of Science Workbook: Scholastic Early Learners (Workbook)
Author: Scholastic
Publisher: Cartwheel Books
Total Pages: 0
Release: 2020-09
Genre: Juvenile Nonfiction
ISBN: 9781338677720

Scholastic Early Learners: Introduce preschoolers to the world of science with this full-color workbook full of fun learning activities to spark an early interest in STEAM The Big Book of Science is a full-color workbook that introduces preschoolers to early science topics and encourages them to ask questions about their world. It includes age-appropriate facts and activities that teach basic science concepts, such as senses, life cycles, animals, electricity and more. Give Pre-K kids a head-start on school readiness and build future success with this interactive workbook A first science workbook for preschoolers Scholastic Early Learners: Interactive books for hands-on learning. Perfect for babies, toddlers, preschoolers, kindergarteners, and first graders, too

Playground Science Interactive Big Book Pack

Playground Science Interactive Big Book Pack
Author: Donna Merritt
Publisher:
Total Pages:
Release: 2006-01-01
Genre:
ISBN: 9780766415850

By observing playground equipment, children learn about the science of motion and simple machines. Concepts include force (push/pull), levers, and gravity. 14 x 20, 16 pages. Includes teacher's guide and interactive components.

Foundations of Data Science

Foundations of Data Science
Author: Avrim Blum
Publisher: Cambridge University Press
Total Pages: 433
Release: 2020-01-23
Genre: Computers
ISBN: 1108617360

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Python Basics

Python Basics
Author: Dan Bader
Publisher: Real Python (Realpython.Com)
Total Pages: 636
Release: 2021-03-16
Genre:
ISBN: 9781775093329

Make the Leap From Beginner to Intermediate in Python... Python Basics: A Practical Introduction to Python 3 Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample Projects What should you learn about Python in the beginning to get a strong foundation? With Python Basics, you'll not only cover the core concepts you really need to know, but you'll also learn them in the most efficient order with the help of practical exercises and interactive quizzes. You'll know enough to be dangerous with Python, fast! Who Should Read This Book If you're new to Python, you'll get a practical, step-by-step roadmap on developing your foundational skills. You'll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short, clear code samples. Our goal with this book is to educate, not to impress or intimidate. If you're familiar with some basic programming concepts, you'll get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into the meat and potatoes without sacrificing substance. If you have prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java, or Swift the numerous exercises within each chapter will fast-track your progress. If you're a seasoned developer, you'll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along. If you're a self-starter completely new to coding, you'll get practical and motivating examples. You'll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We'll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day! If you're looking to break into a coding or data-science career, you'll pick up the practical foundations with this book. We won't just dump a boat load of theoretical information on you so you can "sink or swim"-instead you'll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you'll always know what you can do with it in practical terms. If you're interested in teaching others "how to Python," this will be your guidebook. If you're looking to stoke the coding flame in your coworkers, kids, or relatives-use our material to teach them. All the sequencing has been done for you so you'll always know what to cover next and how to explain it. What Python Developers Say About The Book: "Go forth and learn this amazing language using this great book." - Michael Kennedy, Talk Python "The wording is casual, easy to understand, and makes the information flow well." - Thomas Wong, Pythonista "I floundered for a long time trying to teach myself. I slogged through dozens of incomplete online tutorials. I snoozed through hours of boring screencasts. I gave up on countless crufty books from big-time publishers. And then I found Real Python. The easy-to-follow, step-by-step instructions break the big concepts down into bite-sized chunks written in plain English. The authors never forget their audience and are consistently thorough and detailed in their explanations. I'm up and running now, but I constantly refer to the material for guidance." - Jared Nielsen, Pythonista

The Big Book of Small Python Projects

The Big Book of Small Python Projects
Author: Al Sweigart
Publisher: No Starch Press
Total Pages: 433
Release: 2021-06-25
Genre: Computers
ISBN: 1718501242

Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity. If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online. You’ll create: • Hangman, Blackjack, and other games to play against your friends or the computer • Simulations of a forest fire, a million dice rolls, and a Japanese abacus • Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver • A first-person 3D maze game • Encryption programs that use ciphers like ROT13 and Vigenère to conceal text If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!

All of Statistics

All of Statistics
Author: Larry Wasserman
Publisher: Springer Science & Business Media
Total Pages: 446
Release: 2013-12-11
Genre: Mathematics
ISBN: 0387217363

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.