eBook downloads, eBook resources & eBook authors
Help students gain writing confidence with this comprehensive collection of easy, super-engaging lessons that invite them to describe a dream, write a mystery story, create a movie review, compose a business letter, and so many more! Everything you need is here: Complete how-to's, quick mini-lessons, pre-writing graphic organizers, and reproducible assessment forms. A great way to prepare kids to shine on the standardized tests! For use with Grades 3-6.
"Fun, thought-provoking questions that inspire kids to write meaningfully about character, plot, setting, theme, and more"--Cover.
Perfect for teachers who need help managing their time,Time Saving Tips for Teachers is structured for easy use. Flip through the chapters and apply the ideas that fit immediate needs and style—and includes more than sixty reproducible forms that can be used right away, covering student and parent information, reading and writing coaches, homework, standards for assignments, and supplies, just to name a few. New tips include portfolios, substitute teachers, email, handheld computers, and the Internet! Chapters provide ideas on how to save time without diminishing quality by: Communicating effectively—but briefly Managing materials Planning the week ahead Learning to say "No" Using the Internet to save time Working with substitutes and volunteers Creating a filing system that saves time Avoiding distractions Treating yourself as a professional This guide helps teachers work smarter and enjoy life outside of teaching once again!
A comprehensive approach to teaching writing, organized around 7 strategies to help students seek and recognize inspiration: sensory statements; wordsmithing; emotional cues; character development; perspectives; personality; and style. Explore ways to use rich, engaging prompts to help students develop a strong writing voice, and discover a series of prompts that can help even the most mechanical writer to begin writing with pizzazz!
This highly-readable text provides grounds on how to plan and conduct animal experiments that can be reproduced by others. The book touches on factors that may impact the reproducibility of animal studies including: the animal genetic background, the animal microbial flora, environmental and physiological variables affecting the animal, animal welfare, statistics and experimental design, systematic reviews of animal studies, and the publishing process. The book addresses advanced undergraduates, graduate students and all scientists working with animals.
A collection of forty reproducible cartoons designed to give students practice in a range of grammar topics such as parts of speech, sentence structure, and punctuation.
Teachers are looking for a text that will guide them in the selection of appropriate educational software and help them make decisions about the myriad of available Internet sites. They want to know how all this material can help their students learn better. This text integrates both theory and practice with assessment to make learning outcomes possible.
Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python. Key FeaturesGet a hands-on, fast-paced introduction to the Python data science stackExplore ways to create useful metrics and statistics from large datasetsCreate detailed analysis reports with real-world dataBook Description Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems. The book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools. By the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs. What you will learnUse Python to read and transform data into different formatsGenerate basic statistics and metrics using data on diskWork with computing tasks distributed over a clusterConvert data from various sources into storage or querying formatsPrepare data for statistical analysis, visualization, and machine learningPresent data in the form of effective visualsWho this book is for Big Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help you to understand various concepts explained in this book.
