Описание: Eric Carle fans will adore this value pack filled with six Ready-to-Read books for the price of four! For an added bonus, take a peek inside for tips to help your child become a reading star!
These early readers feature simple text and trademark collage-style illustrations from beloved author Eric Carle! Plus, check the inside of the packaging for a bonus set of tips to help your reading star soar to new heights. Included in this Ready-to-Read value pack are:
Have You Seen My Cat? The Greedy Python Walter the Baker Rooster Is Off to See the World Pancakes, Pancakes! A House for Hermit Crab
Автор: Louie Stowell Название: Coding for Beginners using Python ISBN: 1409599345 ISBN-13(EAN): 9781409599340 Издательство: Usborne Рейтинг: Цена: от 1807.00 р. Наличие на складе: Есть
Описание: A beginner`s guide to coding using Python, one of the most popular computer languages. Step-by-step instructions show how to get started and write a simple program. New commands are introduced with examples and colourful pictures so by the end of the book, readers can code games, drawings and more. Includes extra help and downloads online.
Автор: Carle Eric Название: The Eric Carle Ready-To-Read Collection (Boxed Set) ISBN: 1481416324 ISBN-13(EAN): 9781481416320 Издательство: Simon & Schuster Цена: 1838.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Six favorites from Eric Carle are available in this Ready-to-Read boxed set!
This convenient Ready-to-Read carry-along boxed set of six beloved Eric Carle classics includes paperback editions of Have You Seen My Cat?; The Greedy Python; Pancakes, Pancakes!; Rooster is Off to See the World; A House for Hermit Crab; and Walter the Baker. Each story is filled with Eric Carles trademark collage-style illustrations that have made him one of Americas most beloved artists. Parents love Eric Carle as much as kids do, and these six books in a portable boxed set make a perfect gift!
Автор: Vaughan Lee Название: Impractical Python: Peculiar Projects to Make You Smarter ISBN: 159327890X ISBN-13(EAN): 9781593278908 Издательство: Random House (USA) Рейтинг: Цена: 3677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of fun and educational Python projects designed to entertain programmers while enhancing their Python skills.
Автор: Carle Eric Название: Greedy python ISBN: 1847386202 ISBN-13(EAN): 9781847386205 Издательство: Simon&Schuster UK Рейтинг: Цена: 988.00 р. Наличие на складе: Поставка под заказ.
Описание: Continuing the celebrations of the 40th anniversary of The Very Hungry Caterpillar, comes Eric Carle`s classic board book, The Greedy Python.
Автор: Raschka, Sebastian Mirjalili, Vahid Название: Python machine learning - ISBN: 1787125939 ISBN-13(EAN): 9781787125933 Издательство: Неизвестно Цена: 8458.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you`ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
Автор: Agarwal, Dr Basant, Baka, Benjamin Название: Hands-On Data Structures and Algorithms with Python 2 ed ISBN: 1788995570 ISBN-13(EAN): 9781788995573 Издательство: Неизвестно Рейтинг: Цена: 8458.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.
Автор: Sweigart Al Название: Automate the Boring Stuff with Python, 2nd Edition ISBN: 1593279922 ISBN-13(EAN): 9781593279929 Издательство: Random House (USA) Рейтинг: Цена: 4597.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second edition of this best-selling Python book teaches even the technically uninclined how to automate the boring stuff.
Автор: Guttag, John V. Название: Intro To Comptn & Pgm 3E ISBN: 0262542366 ISBN-13(EAN): 9780262542364 Издательство: Random House (USA) Рейтинг: Цена: 6897.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning. All of the code in the book and an errata sheet are available on the book's web page on the MIT Press website.
Автор: Toms, Silas Название: Arcpy and Arcgis: Geospatial Analysis with Python ISBN: 1783988665 ISBN-13(EAN): 9781783988662 Издательство: Неизвестно Цена: 9378.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.
Автор: Idris, Ivan (Author) Название: Python Data Analysis Cookbook ISBN: 178528228X ISBN-13(EAN): 9781785282287 Издательство: Неизвестно Рейтинг: Цена: 10666.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over 140 practical recipes to help you make sense of your data with ease and build production-ready data appsAbout This Book* Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types* Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning* Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed booksWho This Book Is ForThis book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed. What You Will Learn* Set up reproducible data analysis* Clean and transform data* Apply advanced statistical analysis* Create attractive data visualizations* Web scrape and work with databases, Hadoop, and Spark* Analyze images and time series data* Mine text and analyze social networks* Use machine learning and evaluate the results* Take advantage of parallelism and concurrencyIn DetailData analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns.
As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas.
You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods.
Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code. By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.
Style and ApproachThe book is written in "cookbook" style striving for high realism in data analysis. Through the recipe-based format, you can read each recipe separately as required and immediately apply the knowledge gained.
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