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67917098
Python for Programmers: With Introductory AI Case Studies (Ellis Horwood Series in Applied Science and Industrial Techn)
Item #:
67917098
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- The professional programmer's Deitel® guide to Python® with introductory artificial intelligence case studiesWritten 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® for sentiment analysis, cognitive computing with IBM® WatsonTM, 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®, SparkTM and NoSQL databases, the Internet of Things and more. You'll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more.Features500+ hands-on, real-world, live-code examples from snippets to case studiesIPython + code in Jupyter® NotebooksLibrary-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal codeRich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptionsProcedural, functional-style and object-oriented programmingCollections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFramesStatic, dynamic and interactive visualizationsData experiences with real-world datasets and data sourcesIntro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regressionAI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoTOpen-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and moreRegister your product to gain access to updated chapters and material, as well as downloads, future updates, and/or corrections as they become available. See inside book for more information.
| Publisher | Pearson |
| Publication date | 22 Oct. 2018 |
| Edition | 1st |
| Language | English |
| Print length | 640 pages |
| ISBN-10 | 0135224330 |
| ISBN-13 | 978-0135224335 |
| Item weight | 971 g |
| Dimensions | 17.78 x 3.18 x 23.11 cm |
| Part of series | Deitel Developer Series |
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Data Mining Editorial Review
Python For Programmers With Introductory AI Case Studies from the Ellis Horwood Series in Applied Science and Industrial Technology is a comprehensive first edition published by Pearson on 22 October 2018, featuring a substantial print length of 640 pages. This text is aimed at those looking to enhance their programming skills, particularly within the realm of AI applications. Designed for both learners and seasoned developers, it stands out with its practical case studies that integrate core Python concepts with artificial intelligence, effectively catering to the modern learning environment. Readers commend its structure and clarity, making it an accessible choice for programmers of various levels.
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Pros
- Comprehensive coverage of Python programming
- Practical AI case studies included
- Well-structured for clear understanding
- Suitable for beginners and experienced developers
- Published by a reputable publisher
Cons
- Some readers may prefer more advanced topics
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