Title
Python for Programmers: with Big Data and Artificial Intelligence Case Studies,Used
Delivery time: 8-12 business days (International)
The professional programmers Deitel guide to Pythonwith introductory artificial intelligence case studiesWritten for programmers with a background in another highlevel language, this book uses handson instruction to teach todays most compelling, leadingedge computing technologies and programming in Pythonone of the worlds most popular and fastestgrowing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details.In the context of 500+, realworld 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 15 and a few key parts of Chapters 67, youll be able to handle significant portions of the handson introductory AI case studies in Chapters 1116, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter for sentiment analysis, cognitive computing with IBM Watson, 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, Spark and NoSQL databases, the Internet of Things and more. Youll also work directly or indirectly with cloudbased services, including Twitter, Google Translate, IBM Watson, Microsoft Azure, OpenMapQuest, PubNub and more.Features 500+ handson, realworld, livecode examples from snippets to case studies IPython + code in Jupyter Notebooks Libraryfocused: 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, functionalstyle and objectoriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with realworld 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, IBM Watson, machine learning, deep learning, computer vision, Hadoop, Spark, NoSQL, IoT Opensource libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikitlearn, Keras and more. Register your product for convenient access to downloads, updates, and/or corrections as they become available.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
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