Panda Life Is Better With Pandas Wide Ruled Composition Notebook
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| Author | : Lynne Truss |
| Publisher | : Penguin |
| Total Pages | : 119 |
| Release | : 2004-04-12 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1101218290 |
We all know the basics of punctuation. Or do we? A look at most neighborhood signage tells a different story. Through sloppy usage and low standards on the internet, in email, and now text messages, we have made proper punctuation an endangered species. In Eats, Shoots & Leaves, former editor Lynne Truss dares to say, in her delightfully urbane, witty, and very English way, that it is time to look at our commas and semicolons and see them as the wonderful and necessary things they are. This is a book for people who love punctuation and get upset when it is mishandled. From the invention of the question mark in the time of Charlemagne to George Orwell shunning the semicolon, this lively history makes a powerful case for the preservation of a system of printing conventions that is much too subtle to be mucked about with.
| Author | : Jake VanderPlas |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 609 |
| Release | : 2016-11-21 |
| Genre | : Computers |
| ISBN | : 1491912138 |
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
| Author | : B.F Skinner |
| Publisher | : Simon and Schuster |
| Total Pages | : 484 |
| Release | : 2012-12-18 |
| Genre | : Psychology |
| ISBN | : 1476716153 |
The psychology classic—a detailed study of scientific theories of human nature and the possible ways in which human behavior can be predicted and controlled—from one of the most influential behaviorists of the twentieth century and the author of Walden Two. “This is an important book, exceptionally well written, and logically consistent with the basic premise of the unitary nature of science. Many students of society and culture would take violent issue with most of the things that Skinner has to say, but even those who disagree most will find this a stimulating book.” —Samuel M. Strong, The American Journal of Sociology “This is a remarkable book—remarkable in that it presents a strong, consistent, and all but exhaustive case for a natural science of human behavior…It ought to be…valuable for those whose preferences lie with, as well as those whose preferences stand against, a behavioristic approach to human activity.” —Harry Prosch, Ethics
| Author | : Richard McElreath |
| Publisher | : CRC Press |
| Total Pages | : 488 |
| Release | : 2018-01-03 |
| Genre | : Mathematics |
| ISBN | : 1315362619 |
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
| Author | : Laura Igual |
| Publisher | : Springer |
| Total Pages | : 227 |
| Release | : 2017-02-22 |
| Genre | : Computers |
| ISBN | : 3319500171 |
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.
| Author | : Angela R. Glatston |
| Publisher | : William Andrew |
| Total Pages | : 489 |
| Release | : 2010-11-25 |
| Genre | : Science |
| ISBN | : 1437778143 |
Red Panda: Biology and Conservation of the First Panda provides a broad-based overview of the biology of the red panda, Ailurus fulgens. A carnivore that feeds almost entirely on vegetable material and is colored chestnut red, chocolate brown and cream rather than the expected black and white. This book gathers all the information that is available on the red panda both from the field and captivity as well as from cultural aspects, and attempts to answer that most fundamental of questions, "What is a red panda?" Scientists have long focused on the red panda's controversial taxonomy. Is it in fact an Old World procyonid, a very strange bear or simply a panda? All of these hypotheses are addressed in an attempt to classify a unique species and provide an in-depth look at the scientific and conservation-based issues urgently facing the red panda today. Red Panda not only presents an overview of the current state of our knowledge about this intriguing species but it is also intended to bring the red panda out of obscurity and into the spotlight of public attention. - Wide-ranging account of the red panda (Ailurus fulgens) covers all the information that is available on this species both in and ex situ - Discusses the status of the species in the wild, examines how human activities impact on their habitat, and develops projections to translate this in terms of overall panda numbers - Reports on status in the wild, looks at conservation issues and considers the future of this unique species - Includes contributions from long-standing red panda experts as well as those specializing in fields involving cutting-edge red panda research.
| Author | : Doug Reilly |
| Publisher | : |
| Total Pages | : 700 |
| Release | : 1991 |
| Genre | : Non-destructive testing |
| ISBN | : 9780160327247 |
| Author | : Francois Chollet |
| Publisher | : Simon and Schuster |
| Total Pages | : 597 |
| Release | : 2017-11-30 |
| Genre | : Computers |
| ISBN | : 1638352046 |
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance
| Author | : smART smART bookx |
| Publisher | : |
| Total Pages | : 109 |
| Release | : 2018-01-22 |
| Genre | : |
| ISBN | : 9781976970177 |
Large 8" x 10" Softback Reading Journal with printed images of wood & antique books and an inspirational quote on the back [ US$5.99 / £4.99 / e5.50 ]. IF LOOK INSIDE ISN''T LOADING, the blue smART bookx link by the title will help you out. BOOK INTERIOR: One hundred attractive and spacious record pages. As well as the main review space, there''s space to log: - title, author, publishing details & page count, - start & finish dates, - book format, source & genre/subject, - thoughts & inspirations in an Inspiration Tree, - ratings on plot, character development and ease of reading, as well as an overall review score, and - memorable quotes. At the back you''ll find: - a loan record sheet, - a tick list of the top 100 voted fiction books, and - a Notes page for jotting down new authors, books to read, book suppliers and other useful reading resources. At the front, a blank personalized Contents Table gives space for you to add your own categories alongside some of the more commons ones. Whether it''s short stories, poetry, satire or a few specific authors that float your boat, you''ll always be able to quickly find any of your reviews by allocating each to one or more categories as you go along. All pages are of thick white paper (55lb) to minimize ink bleed-through. EXTERIOR: Cover: Tough matte paperback. Binding: Secure professional trade paperback binding, i.e. it''s built to last; pages won''t fall out after a few months of use. Dimensions: 20.3 x 25.4 cm (8" x 10"). (Almost the same width as A4 but a few cm shorter in height - so no more cramming into tiny boxes!) MATCHING PRODUCTS: smART bookx publish a variety of specialist journals (Blank Recipe Books, Password Journals, Trip Planners etc. ) To find products matching this one, search ''antique bookshelf'' & ''bookx'' (don''t forget the ''x''). SIMILAR PRODUCTS: We publish several Reading Logs. Each has the same interior but there are cover designs to suit all tastes. To view them all, search ''reading'' & ''bookx'' on Amazon. Thanks for looking, The smART bookx design team Buy With Confidence Because Our Customers Love Our Stationery: ***** Affordable, But Still Good Quality! ... Very satisfied ... an affordable option that is also very thorough. Many other planners just didn''t have all of the sections I needed, or they did & cost too much ... cover is super cute & kind of soft. (Jun 1, 2016) ***** Beautiful. My daughter loved them!!! (August 17, 2014) ***** Love the Van Gogh Notebook ... Loved it, keep it in my purse incase of creative impulses. (November 8, 2013) ***** Love This! ... super cute, & I absolutely love the cover. Lots of room to include all kinds of information. (June 13, 2016) ***** Great for taking theory notes or writing music! ... I''m a music major, & I needed staff paper ... cute product & the staff paper is great. (Feb 1, 2016) ***** Amazing Recipe Book ... 3rd smART bookx recipe book I''ve purchased. I have it with the Carnival cover & purchased the Polka dots cover to copy recipes for my daughter... Love the index pages ... Easy to find the exact recipe you are looking for since the index shows all the recipe pages numbered. Highly recommended. (Dec 28, 2015) ALL BOOKS ARE MADE IN THE COUNTRY PURCHASED
| Author | : Jan Gehl |
| Publisher | : Island Press |
| Total Pages | : 284 |
| Release | : 2013-03-05 |
| Genre | : Architecture |
| ISBN | : 1597269840 |
For more than forty years Jan Gehl has helped to transform urban environments around the world based on his research into the ways people actually use—or could use—the spaces where they live and work. In this revolutionary book, Gehl presents his latest work creating (or recreating) cityscapes on a human scale. He clearly explains the methods and tools he uses to reconfigure unworkable cityscapes into the landscapes he believes they should be: cities for people. Taking into account changing demographics and changing lifestyles, Gehl emphasizes four human issues that he sees as essential to successful city planning. He explains how to develop cities that are Lively, Safe, Sustainable, and Healthy. Focusing on these issues leads Gehl to think of even the largest city on a very small scale. For Gehl, the urban landscape must be considered through the five human senses and experienced at the speed of walking rather than at the speed of riding in a car or bus or train. This small-scale view, he argues, is too frequently neglected in contemporary projects. In a final chapter, Gehl makes a plea for city planning on a human scale in the fast- growing cities of developing countries. A “Toolbox,” presenting key principles, overviews of methods, and keyword lists, concludes the book. The book is extensively illustrated with over 700 photos and drawings of examples from Gehl’s work around the globe.
