Deitel Paul J., Deitel Harvey Python for Programmers 9780135224335

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Автор: Deitel Paul J., Deitel Harvey
Название: Python for Programmers
ISBN: 9780135224335
Издательство: Pearson Education
Издательство: Prentice Hall
Классификация:

Программирование приложений для интернета

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Искусственный интеллект

ISBN-10: 0135224330
Обложка/Формат: Paperback
Страницы: 640
Вес: 2.31 кг.
Дата издания: 01.04.2019
Язык: English
Размер: 181 x 233 x 29
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: With big data and artificial intelligence case studies
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Поставляется из: Англии
Описание: The professional programmers 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 todays most compelling, leading-edge computing technologies and programming in Python-one of the worlds 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, youll 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, youll 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. Youll 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
Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions
Procedural, functional-style and object-oriented programming
Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames
Static, dynamic and interactive visualizations
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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Python for Programmers, Deitel Paul J., Deitel Harvey