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Author: Kevin Makice Publisher: "O'Reilly Media, Inc." ISBN: 0596555512 Category : Computers Languages : en Pages : 418
Book Description
This groundbreaking book provides you with the skills and resources necessary to build web applications for Twitter. Perfect for new and casual programmers intrigued by the world of microblogging, Twitter API: Up and Running carefully explains how each part of Twitter's API works, with detailed examples that show you how to assemble those building blocks into practical and fun web applications. You'll also get a complete look at Twitter culture and learn how it has inspired programmers to build hundreds of tools and applications. With this book, you will: Explore every component of a Twitter application and learn how the API responds Get the PHP and MySQL code necessary to build your own applications, with explanations of how these ingredients work Learn from real-world Twitter applications created just for this book Discover the most interesting and useful Twitter programs--and get ideas for creating your own--with the book's Twitter application directory Twitter offers a new way to connect with people on the Internet, and Twitter API: Up and Running takes you right to the heart of this technology. "Twitter API: Up and Running is a friendly, accessible introduction to the Twitter API. Even beginning web developers can have a working Twitter project before they know it. Sit down with this for a weekend and you're on your way to Twitter API mastery."--Alex Payne, Twitter API Lead "Twitter API: Up and Running is a very comprehensive and useful resource--any developer will feel the urge to code a Twitter-related application right after finishing the book!"--The Lollicode team, creators of Twitscoop
Author: Kevin Makice Publisher: "O'Reilly Media, Inc." ISBN: 0596550847 Category : Computers Languages : en Pages : 416
Book Description
This groundbreaking book provides you with the skills and resources necessary to build web applications for Twitter. Perfect for new and casual programmers intrigued by the world of microblogging, Twitter API: Up and Running carefully explains how each part of Twitter's API works, with detailed examples that show you how to assemble those building blocks into practical and fun web applications. You'll also get a complete look at Twitter culture and learn how it has inspired programmers to build hundreds of tools and applications. With this book, you will: Explore every component of a Twitter application and learn how the API responds Get the PHP and MySQL code necessary to build your own applications, with explanations of how these ingredients work Learn from real-world Twitter applications created just for this book Discover the most interesting and useful Twitter programs--and get ideas for creating your own--with the book's Twitter application directory Twitter offers a new way to connect with people on the Internet, and Twitter API: Up and Running takes you right to the heart of this technology. "Twitter API: Up and Running is a friendly, accessible introduction to the Twitter API. Even beginning web developers can have a working Twitter project before they know it. Sit down with this for a weekend and you're on your way to Twitter API mastery."--Alex Payne, Twitter API Lead "Twitter API: Up and Running is a very comprehensive and useful resource--any developer will feel the urge to code a Twitter-related application right after finishing the book!"--The Lollicode team, creators of Twitscoop
Author: Kevin Makice Publisher: "O'Reilly Media, Inc." ISBN: 0596555512 Category : Computers Languages : en Pages : 418
Book Description
This groundbreaking book provides you with the skills and resources necessary to build web applications for Twitter. Perfect for new and casual programmers intrigued by the world of microblogging, Twitter API: Up and Running carefully explains how each part of Twitter's API works, with detailed examples that show you how to assemble those building blocks into practical and fun web applications. You'll also get a complete look at Twitter culture and learn how it has inspired programmers to build hundreds of tools and applications. With this book, you will: Explore every component of a Twitter application and learn how the API responds Get the PHP and MySQL code necessary to build your own applications, with explanations of how these ingredients work Learn from real-world Twitter applications created just for this book Discover the most interesting and useful Twitter programs--and get ideas for creating your own--with the book's Twitter application directory Twitter offers a new way to connect with people on the Internet, and Twitter API: Up and Running takes you right to the heart of this technology. "Twitter API: Up and Running is a friendly, accessible introduction to the Twitter API. Even beginning web developers can have a working Twitter project before they know it. Sit down with this for a weekend and you're on your way to Twitter API mastery."--Alex Payne, Twitter API Lead "Twitter API: Up and Running is a very comprehensive and useful resource--any developer will feel the urge to code a Twitter-related application right after finishing the book!"--The Lollicode team, creators of Twitscoop
Author: Andres Ferrate Publisher: "O'Reilly Media, Inc." ISBN: 1449390803 Category : Computers Languages : en Pages : 308
Book Description
Catch Google Wave, the revolutionary Internet protocol and web service that lets you communicate and collaborate in realtime. With this book, you'll understand how Google Wave integrates email, instant messaging (IM), wiki, and social networking functionality into a powerful and extensible platform. You'll also learn how to use its features, customize its functions, and build sophisticated extensions with Google Wave's open APIs and network protocol. Written for everyone -- from non-techies to ninja coders -- Google Wave: Up and Running provides a complete tour of this complex platform. You'll quickly work with the Google Wave Client, the app that lets users participate and collaborate on waves, and learn how to augment waves with gadgets and robots. In the process, you'll appreciate why Google Wave offers a great new model for online communication and collaboration. Become thoroughly familiar with Google Wave, including its structure, key concepts, and terminology Get a hands-on introduction to the APIs and resources that will help you develop on this platform Learn how to use Google Wave's APIs to develop your own gadgets and robots, and to embed waves on web pages Discover through use cases how Google Wave offers consumers a distinct advantage over current communication and collaboration technologies
Author: Matthew Russell Publisher: "O'Reilly Media, Inc." ISBN: 1449388345 Category : Computers Languages : en Pages : 356
Book Description
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
Author: Sebastian Raschka Publisher: Packt Publishing Ltd ISBN: 1801816387 Category : Computers Languages : en Pages : 775
Book Description
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Author: Matthew A. Russell Publisher: O'Reilly Media ISBN: 1491973528 Category : Computers Languages : en Pages : 425
Book Description
Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits
Author: Matt Stauffer Publisher: O'Reilly Media ISBN: 1492041181 Category : Computers Languages : en Pages : 555
Book Description
What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the second edition of this practical guide provides the definitive introduction to one of today’s mostpopular web frameworks. Matt Stauffer, a leading teacher and developer in the Laravel community, delivers a high-level overview and concrete examples to help experienced PHP web developers get started with this framework right away. This updated edition also covers Laravel Dusk and Horizon and provides information about community resources and other noncore Laravel packages. Dive into features, including: Blade, Laravel’s powerful custom templating tool Tools for gathering, validating, normalizing, and filtering user-provideddata The Eloquent ORM for working with application databases The role of the Illuminate request object in the application lifecycle PHPUnit, Mockery, and Dusk for testing your PHP code Tools for writing JSON and RESTful APIs Interfaces for filesystem access, sessions, cookies, caches, and search Tools for implementing queues, jobs, events, and WebSocket event publishing
Author: Haruki Murakami Publisher: Vintage Canada ISBN: 0307373088 Category : Biography & Autobiography Languages : en Pages : 194
Book Description
From the best-selling author of The Wind-Up Bird Chronicle and After Dark, a rich and revelatory memoir about writing and running, and the integral impact both have made on his life. In 1982, having sold his jazz bar to devote himself to writing, Haruki Murakami began running to keep fit. A year later, he’d completed a solo course from Athens to Marathon, and now, after dozens of such races, not to mention triathlons and a slew of critically acclaimed books, he reflects upon the influence the sport has had on his life and—even more important—on his writing. Equal parts training log, travelogue, and reminiscence, this revealing memoir covers his four-month preparation for the 2005 New York City Marathon and includes settings ranging from Tokyo’s Jingu Gaien gardens, where he once shared the course with an Olympian, to the Charles River in Boston among young women who outpace him. Through this marvellous lens of sport emerges a cornucopia of memories and insights: the eureka moment when he decided to become a writer, his greatest triumphs and disappointments, his passion for vintage LPs and the experience, after the age of fifty, of seeing his race times improve and then fall back. By turns funny and sobering, playful and philosophical, What I Talk About When I Talk About Running is both for fans of this masterful yet guardedly private writer and for the exploding population of athletes who find similar satisfaction in distance running.
Author: Emmanuel Ameisen Publisher: "O'Reilly Media, Inc." ISBN: 1492045063 Category : Computers Languages : en Pages : 243
Book Description
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment
Author: Jeremy Howard Publisher: O'Reilly Media ISBN: 1492045497 Category : Computers Languages : en Pages : 624
Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Author: Kevin Makice
Author: Kevin Makice
Author: Kevin Makice
Author: Andres Ferrate
Author: Matthew Russell
Author: Sebastian Raschka
Author: Matthew A. Russell
Author: Matt Stauffer
Author: Haruki Murakami
Author: Emmanuel Ameisen
Author: Jeremy Howard