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Python for Programmers - with Big Data and Artificial Intelligence Case Studies (Hardcover) Loot Price: R727
Discovery Miles 7 270
You Save: R534 (42%)
Python for Programmers - with Big Data and Artificial Intelligence Case Studies (Hardcover): Paul Deitel, Harvey Deitel

Python for Programmers - with Big Data and Artificial Intelligence Case Studies (Hardcover)

Paul Deitel, Harvey Deitel

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List price R1,261 Loot Price R727 Discovery Miles 7 270 | Repayment Terms: R66 pm x 12* You Save R534 (42%)

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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, Python for Programmers 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 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 Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.


Imprint: Pearson
Country of origin: United States
Release date: October 2018
First published: 2019
Authors: Paul Deitel • Harvey Deitel
Dimensions: 232 x 178 x 29mm (L x W x T)
Format: Hardcover
Pages: 1000
ISBN-13: 978-0-13-522433-5
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Internet > Internet languages > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 0-13-522433-0
Barcode: 9780135224335

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