This book is a practical, hands-on guide that takes you through the techniques of web scraping using Beautiful Soup. Getting Started with Beautiful Soup is great for anybody who is interested in website scraping and extracting information. However, a basic knowledge of Python, HTML tags, and CSS is required for better understanding.
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect
With fantastic characters and enchanting language, Lewis Carroll created magical wonderlands which children have always loved to visit. This work contains 26 selections from his works, along with vocabulary and context notes.
After a devastating brain cancer diagnosis, Caroline Wright told some new friends she was craving homemade soup, then found soup on her doorstep every day for months. She survived with a deep gratitude for soup and her community. In thanks and in their honor, she decided to start a weekly soup club delivering her own original healthful soup recipes to her friend’s porches. Caroline’s creative spirit and enthusiasm spread, along with the word of her club, and she soon was building a large community of soup enthusiasts inspired by her story. Soup Club is unlike any other soup book. Caroline’s collection of recipes along with artwork, photography, and haiku from her members, tell a moving story of community, love, and health at its center. This unique cookbook proves that soup can be more than a filling meal, but also a mood and a feeling. Every soup can be made on the stove top and Instant Pot. The recipes are all vegan and gluten-free and include: Catalan Chickpea Stew with Spinach Jamaican Pumpkin and Red Pea Soup Split Pea Soup with Roasted Kale West African Vegetable Stew
“Highlights some of the most popular international recipes for vegetarian soup . . . makes a convincing argument for soup as the star course of any meal.” —Publishers Weekly No, there is no chicken stock in this soup. What you’ll find here is page after glorious page of the loveliest, most delicious soups and stews—each and every one entirely vegetarian. Brimming with international flavors, Paulette Mitchell’s easy-to-follow recipes are paired with unique accompaniments, garnishes, and toppings that add tremendous visual appeal. Witness hearty Pumpkin Stew baked and served in a pumpkin shell; classic onion soup updated with crunchy goat cheese toasts; and Spicy Sweet Potato Ancho Bisque swirled with bright Roasted Red Pepper Cream. From Mediterranean Saffron Stew to Greek Spinach and Orzo Soup, these colorful dishes are simple enough for every day, yet sophisticated enough for elegant dinner parties. Instructions for making tasty vegetable stock from scratch, a selection of delicious vegan soups, and a helpful “tips” section make this gorgeous cookbook an important addition to any kitchen where good food and good health are on the menu. “Any comment on how this book suits the season would only be redundant. The latest cold wind is reminder enough, as you can just about hear it whisper: ssssssooooooup.” —The Baltimore Sun “The recipes in this cookbook span the culinary globe, with flavor profiles drawn from Mexico, Morocco, Mumbai, and Minnesota. For vegetarians, vegans, and omnivores, A Beautiful Bowl of Soup presents new ideas you’re sure to enjoy.” —Soup Chick®
Offering road-tested techniques for website scraping and solutions to common issues developers may face, this concise and focused book provides tips and tweaking guidance for the popular scraping tools BeautifulSoup and Scrapy. --
Work through practical examples to unlock the full potential of web scraping with Python and gain valuable insights from high-quality data Key Features Build an initial portfolio of web scraping projects with detailed explanations Grasp Python programming fundamentals related to web scraping and data extraction Acquire skills to code web scrapers, store data in desired formats, and employ the data professionally Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWeb scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience. Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you’ll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You’ll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning. This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you’ll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.What you will learn Master web scraping techniques to extract data from real-world websites Implement popular web scraping libraries such as requests, lxml, Scrapy, and pyquery Develop advanced skills in web scraping, APIs, PDF extraction, regex, and machine learning Analyze and visualize data with Pandas and Plotly Develop a practical portfolio to demonstrate your web scraping skills Understand best practices and ethical concerns in web scraping and data extraction Who this book is for This book is for beginners who want to learn web scraping and data extraction using Python. No prior programming knowledge is required, but a basic understanding of web-related concepts such as websites, browsers, and HTML is assumed. If you enjoy learning by doing and want to build a portfolio of web scraping projects and delve into data-related studies and application, then this book is tailored for your needs.
Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice. Learn how to parse complicated HTML pages Traverse multiple pages and sites Get a general overview of APIs and how they work Learn several methods for storing the data you scrape Download, read, and extract data from documents Use tools and techniques to clean badly formatted data Read and write natural languages Crawl through forms and logins Understand how to scrape JavaScript Learn image processing and text recognition
