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This book is a story of a little llama who loves to dance and sing. She lives on "Leaping Llama Ranch". She lives with Nana, Lola and some other little critters. Llama-Llama Tutu's best friend is a little red rooster who likes to follow her wherever she goes. Nana calls her "Llama-Llama", but her full name is "Llama-Llama Tutu". There is a talent show and Nana has entered Llama-Llama in the talent show. It is not an easy task getting the llama into the trailer, so they can get to the talent show in time. Llama-llama is in the Finale, Llama-Llama is supposed to wait her turn, but just can't sit still and ends up in all the acts.
Fans of classic detective stories, The Mysterious Benedict Society, and the Secret Series will devour this illustrated middle-grade adventure that follows three curious sleuths as they investigate a mysterious, old house with some hidden secrets. Eleven-year-old Fairday Morrow is less than thrilled that her family is moving thousands of miles from civilization to the quiet country town of Ashpot, Connecticut, where she’s absolutely certain she’ll die of boredom. As if leaving New York City and her best friend, Lizzy, the only other member of the elite Detective Mystery Squad (DMS), weren’t bad enough, Fairday is stuck living in the infamous Begonia House, a creepy old Victorian with dark passageways, a gigantic dead willow tree, and a mysterious past. Before she can even unpack, strange music coming from behind a padlocked door leads Fairday up a spiral staircase and into a secret room, where an ancient mirror, a brass key, and a strange picture of a red-haired lady are the first in a series of clues that takes the members of the Detective Mystery Squad on an amazing adventure. "The novel builds to an exciting climax that takes magic in stride and suggests that further mysteries await the DMS trio."-Publishers Weekly "This paranormal mystery will be of interest to young readers looking for something spooky but not violent or scary."-Booklist
From Dancing With the Stars finalist Cristian de la Fuente comes a tongue-in-cheek guide to understanding Latino culture-now in paperback. As a contestant on Dancing with the Stars, international star and actor Cristián de la Fuente automatically assumed the role of the flashy Latino dancer, donning bright fuchsia costumes with his bare chest exposed. But Cristián ultimately wowed the judges and reached the finals-not with his fancy footwork but with his charm. Quickly, the producers and viewers learned that just because someone is Latino does not necessarily mean he can dance... And Cristián proved Latinos can and should not be reduced to one-dimensional definitions. In Hot. Passionate. And Illegal?, Cristián uses his personal and funny experiences as a Latino in Hollywood to dispel common myths and admit the sometimes embarrassing, yet endearing, truths about Latinos.
Llama, Llama red pajama waiting, waiting for his mama. Mama isn't coming yet. Baby Llama starts to fret. Anna Dewdney's classic tale of nighttime drama has been charming readers for over a decade. Now everyone's favorite Llama Llama who wants his Mama is available in a lap board book format. These infectious rhymes and oversized board book pages are perfect for bedtime reading anywhere, anytime!
Celebrate Father's Day with Llama Llama and Nelly Gnu in this paperback picture book based on an episode of the animated Llama Llama Netflix series. Look out, world--Llama Llama is a TV star! The beloved character, made famous by Anna Dewdney's best-selling picture books, is the star of his own original series, now airing on Netflix. In this episode-based paperback picture book, Llama Llama helps Nelly Gnu make the perfect Father's Day gift for Daddy Gnu! Your little llamas will love relating to their favorite picture book character as he faces new and challenging situations.
Get in on the Christmas cheer with Dr. Seuss’s iconic holiday classic starring the Grinch and Cindy-Lou Who—guaranteed to grow your heart three sizes! Every Who down in Who-ville liked Christmas a lot...but the Grinch, who lived just north of Who-ville, did NOT! Not since “’Twas the night before Christmas” has the beginning of a Christmas tale been so instantly recognizable. From the Grinch and his dog, Max, to Cindy-Lou and all the residents of Who-ville, this heartwarming story about the effects of the Christmas spirit will warm even the coldest and smallest of hearts. Like mistletoe, candy canes, and caroling, the Grinch is a mainstay of the holidays, and his story is perfect for readers young and old.
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Llama Llama ZIP! Llama Llama ZOOM! Llama Llama Red Pajama VROOM, VROOM, VROOM! On the playground, Llama goes fast! Llama zips by on his scooter and swishes down the slide--whoosh! Younger audiences will love doing as Llama does in this supremely adorable fourth board book.
Llama Llama holidays. Jingle music. Lights ablaze. How long till that special date? Llama Llama has to wait. If there's one thing Llama Llama doesn't like, it's waiting. He and Mama Llama rush around, shopping for presents, baking cookies, decorating the tree . . . but how long is it until Christmas? Will it ever come? Finally, Llama Llama just can't wait any more! It takes a cuddle from Mama Llama to remind him that "Gifts are nice, but there's another: The true gift is, we have each other."