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This book introduces pandas, discussing what they eat, where they live, and why they are endangered.
Introduces pandas, discussing what they eat, where they live, and why they are endangered.
Discover everything you've ever wanted to know about space in a stellar book for aspiring experts, featuring exclusive astronomical insights and info from National Geographic explorer and astrophysicist Munazza Alam Ready to go on an out-of-this world adventure? Travel across the Milky Way and into new galaxies to explore every corner of space so YOU can become an absolute expert. Get up close to the sun and moon, asteroids and comets. Learn about the Oort Cloud, supernovas, black holes, and rockets and other spacecraft. Discover the incredible work of astronauts, astronomers, physicists, and other cool space scientists. On this journey across the universe, you'll make your way from our familiar home here on Earth to planets and solar systems that are many light-years away. Rub elbows with the stars on this cosmic adventure complete with special features, sidebars, wacky trivia, and more.
"Information about rocks and minerals for children"--
The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Panda Love is a collection of incredible images of these gentle giants. Ami Vitale's stunning photographs, taken on location in China, document the efforts to breed pandas and release them back into the wild. Ami was given unprecedented access to the pandas and her photos give an amazing insight into the bears' lives in both the sanctuaries and their natural habitat. Fluffy panda cubs tumble out of baskets and play hide-and-seek with their carers, while the adult pandas curiously explore the forest and climb trees. The giant panda is everyone's favorite bamboo-munching bear. China may be on its way to successfully saving its most famous ambassador, and Panda Love lovingly documents the process of putting the wild back into an icon.
Panda lovers will love following a giant panda and her cub in this engaging Science Reader from Step into Reading. Full of incredible photos and panda facts! Readers will learn how one mother panda and her cub are being protected and raised in a Chinese panda reserve, which seeks to help this vulnerable species survive. In fact, ChiDa, the panda cub, is being prepared to be released into the wild--once she is old enough and has learned important life skills from her mom! Young readers will find themselves rooting for ChiDa while decoding the simple text and gaining confidence in their reading. This book's fascinating photographs of pandas and its array of panda facts will captivate young nonfiction lovers. Great for proficient or reluctant readers. Step 3 Readers feature engaging characters in easy-to-follow plots about popular topics, for children who are ready to read on their own.
Did you know that giant pandas eat more than 600 bamboo stems a day and are expert tree climbers? Features include stunning photography; a fact file which breaks down vital data points in an easy-to-follow and understand format; fast facts; a family tree to show the evolution of and how this animal fits into the wider category of its scientific order; a glossary and more.
"They're furry and fuzzy, precious and pudgy, round and tumbly...let's face it: Pandas are so cute! In this hilarious and awww-dorable series from National Geographic kids, your favorite cuddly critters get their time to shine! With dozens of playful pics, quirky quips, and fun facts, So cute! is the must-own collectible series for every animal lover!"--Page [4] of cover.
Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.