{"product_id":"python-for-programmers-9780135224335","title":"Python for Programmers","description":"\u003cp\u003e • Author(s): Paul J. Deitel\u003cbr\u003e • Publisher: Prentice Hall\u003cbr\u003e • Publisher Imprint: Prentice Hall\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe professional programmer's Deitel(R) guide to Python(R) with introductory artificial intelligence case studies\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eWritten for programmers with a background in another high-level language, \u003cem\u003e\u003cstrong\u003ePython for Programmers\u003c\/strong\u003e\u003c\/em\u003e 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.\u003c\/p\u003e \u003cp\u003eIn 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) 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(R), 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(R) Azure(R), OpenMapQuest, PubNub and more.\u003c\/p\u003e \u003cp\u003eFeatures\u003c\/p\u003e \u003cul\u003e \u003cli\u003e500+ hands-on, real-world, live-code examples from snippets to case studies\u003c\/li\u003e \u003cli\u003eIPython + code in Jupyter(R) Notebooks\u003c\/li\u003e \u003cli\u003eLibrary-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code\u003c\/li\u003e \u003cli\u003eRich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions\u003c\/li\u003e \u003cli\u003eProcedural, functional-style and object-oriented programming\u003c\/li\u003e \u003cli\u003eCollections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series \u0026amp; DataFrames\u003c\/li\u003e \u003cli\u003eStatic, dynamic and interactive visualizations\u003c\/li\u003e \u003cli\u003eData experiences with real-world datasets and data sources\u003c\/li\u003e \u003cli\u003eIntro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression\u003c\/li\u003e \u003cli\u003eAI, big data and cloud data science case studies: NLP, data mining Twitter(R), IBM(R) WatsonTM, machine learning, deep learning, computer vision, Hadoop(R), SparkTM, NoSQL, IoT\u003c\/li\u003e \u003cli\u003eOpen-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn(R), Keras and more\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cem\u003eRegister 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.\u003c\/em\u003e\u003c\/p\u003e","brand":"Prentice Hall","offers":[{"title":"Paperback","offer_id":45045271101591,"sku":"9780135224335","price":5125.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780135224335.webp?v=1769216289","url":"https:\/\/atlanticbooks.com\/products\/python-for-programmers-9780135224335","provider":"Atlantic Books","version":"1.0","type":"link"}