Java how to program, late objects, global edition, Deitel, Harvey Deitel, Paul J.
Старое издание
Автор: Deitel, Harvey M. Название: Deitel: Java HTP (Late Obj) GE_p10 ISBN: 1292019360 ISBN-13(EAN): 9781292019369 Издательство: Pearson Education Цена: 11593.00 р. Наличие на складе: Невозможна поставка. Описание: Intended for use in the Java programming course The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of object-oriented programming concepts and intermediate-level topics for further study. Java How to Program (Late Objects), Tenth Edition, teaches programming by presenting the concepts in the context of full working programs. The Late Objects Version delays coverage of class development until Chapter 8, first presenting control structures, methods and arrays material in a non-object-oriented, procedural programming context.
Teaching and Learning ExperienceThis program presents a better teaching and learning experience-for you and your students. Teach Programming with the Deitels' Signature Live Code Approach: Java language features are introduced with thousands of lines of code in hundreds of complete working programs. Use a Late Objects Approach: The Late Objects Version begins with a rich treatment of procedural programming, including two full chapters on control statements and 200+ exercises.
Keep Your Course Current: This edition can be used with Java SE 7 or Java SE 8, and is up-to-date with the latest technologies and advancements. Facilitate Learning with Outstanding Applied Pedagogy: Making a Difference exercise sets, projects, and hundreds of valuable programming tips help students apply concepts. Support Instructors and Students: Student and instructor resources are available to expand on the topics presented in the text.
Автор: Deitel, Harvey Deitel, Paul J. Название: Java how to program, early objects, global edition ISBN: 1292223855 ISBN-13(EAN): 9781292223858 Издательство: Pearson Education Рейтинг: Цена: 18974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes the important components of hydrogeochemical modelling for mine environments, primarily those mines where sulfi de minerals are present. It provides general guidelines on the strengths and limitations of geochemical modelling and an overview of its application to the hydrogeochemistry of both unmined mineralized sites and those contaminated from mineral extraction and mineral processing.
Автор: Deitel Paul J., Deitel Harvey Название: Python for Programmers ISBN: 0135224330 ISBN-13(EAN): 9780135224335 Издательство: Pearson Education Рейтинг: Цена: 8908.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The professional programmer's Deitel(R) guide to Python(R) with introductory artificial intelligence case studies
Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today's most compelling, leading-edge computing technologies and programming in Python-one of the world's most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you'll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1--5 and a few key parts of Chapters 6--7, you'll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11--16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter(R) for sentiment analysis, cognitive computing with IBM(R) Watson(TM), supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop(R), Spark(TM) and NoSQL databases, the Internet of Things and more. You'll also work directly or indirectly with cloud-based services, including Twitter, Google Translate(TM), IBM Watson, Microsoft(R) Azure(R), OpenMapQuest, PubNub and more. Features
500+ hands-on, real-world, live-code examples from snippets to case studies
IPython + code in Jupyter(R) Notebooks
Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code
Data experiences with real-world datasets and data sources
Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression
AI, big data and cloud data science case studies: NLP, data mining Twitter(R), IBM(R) Watson(TM), machine learning, deep learning, computer vision, Hadoop(R), Spark(TM), NoSQL, IoT
Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn(R), Keras and more.
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