Computers

Web Scraping with Python

Author: Ryan Mitchell

Publisher: "O'Reilly Media, Inc."

ISBN:

Category: Computers

Page: 256

View: 783

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
Social Science

Introduction to Research Methods

Author: Bora Pajo

Publisher: SAGE Publications

ISBN:

Category: Social Science

Page: 392

View: 883

Introduction to Research Methods: A Hands-On Approach makes learning research methods easy for students by giving them activities they can experience and do on their own. With clear, simple, and even humorous prose, this text offers students a straightforward introduction to an exciting new world of social science and behavioral research. Rather than making research seem intimidating, author Bora Pajo shows students how research can be an easy, ongoing conversation on topics that matter in their lives. Each chapter includes real research examples that illustrate specific topics that the chapter covers, guides that help students explore actual research challenges in more depth, and ethical considerations relating to specific chapter topics. 3 Reasons Why You’ll Want to Read This Book 1. Conducting research can be fun when you see it in terms that relate to your everyday life. 2. Knowing how to do research will open many doors for you in your career. It will open your mind to new ideas on what you might pursue in the future (e.g., becoming an entrepreneur, opening your own nongovernmental organization, or running your own health clinic), and give you an extra analytic skill to brag about in your job interviews. 3. Understanding research will make you an educated consumer. You will be able to evaluate the information before you and determine what to accept and what to reject. Truth be told, understanding research will save you money in the short and long term*. *From Chapter 1 of Introduction to Research Methods: A Hands-On Approach
Social Science

Introduction to Data Science for Social and Policy Research

Author: Jose Manuel Magallanes Reyes

Publisher: Cambridge University Press

ISBN:

Category: Social Science

Page: 250

View: 499

Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.
Computers

Practical Web Scraping for Data Science

Author: Seppe vanden Broucke

Publisher: Apress

ISBN:

Category: Computers

Page: 306

View: 624

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases. What You'll Learn Leverage well-established best practices and commonly-used Python packages Handle today's web, including JavaScript, cookies, and common web scraping mitigation techniques Understand the managerial and legal concerns regarding web scraping Who This Book is For A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.
Literary Collections

المسخ

Author: فرانتس كافكا

Publisher: Al Manhal

ISBN:

Category: Literary Collections

Page: 80

View: 151

تعد رواية "المسخ" للكاتب "فرانز كافكا" من نوعية الروايات التي يجب أن تتعب نفسك وتجتهد لتلحظ جمالها، وهي رواية أسلوبها رائع وعميقة المعاني، ولا شك أن القصة وا?حداث غريبة جدا، وتبدو سوريالية الى حد بعيد، لكنها واقعية، ومن أحداث الراوية: (تخيل أن تستيقظ من النوم، لتجد نفسك و قد تحولت إلى حشرة، بهذه الطريقة يفتتح كافكا روايته المسخ، غريغور سامسا، بطل الرواية، يستيقظ في أحد ا?يام ليكتشف تحوله إلى حشرة، هذه الحشرة غير محددة النوع، تحمل صفات الصرصار والخنفساء، يعمل غريغور كبائع متجول، مما يجعله مصدر دخل ?سرته و العائل الوحيد بعد مرض والدته، و توقف والده عن العمل، و محاولة غريغور تسديد ديون والده المريضة بالربو، إضافة إلى أخته اللماحة المقربة. يستيقظ غريغور داخل حجرته المقفلة ا?بواب-حسب عادته في إغلاق غرفته ليلا ويلاحظ من طريقة تمدده ومظهر أعضائه أنه قد تحول إلى حشرة، تتوالى ا?حداث في الرواية، لتصف وضع غريغور داخل غرفته وغربته داخل عائلته، و شفقة هذه العائلة عليه، ثم تقززها ورغبتها في الخلاص منه بهيئته المقززة، لتأتي النهاية متوقعة وصادمة في الوقت نفس..).

Web Scraping for Data Science with Python

Author: Seppe vanden Broucke

Publisher: Createspace Independent Publishing Platform

ISBN:

Category:

Page: 256

View: 934

Get Started with Web Scraping using Python! Congratulations! By picking up this book, you've set the first steps into the exciting world of web scraping. For those who are not familiar with programming or the deeper workings of the web, web scraping often looks like a black art: the ability to write a program that sets off on its own to explore the Internet and collect data is seen as a magical and exciting ability to possess. In this book, we set out to provide a concise and modern guide to web scraping, using Python as our programming language, without glossing over important details or best practices. In addition, this book is written with a data science audience in mind. We're data scientists ourselves, and have very often found web scraping to be a powerful tool to have in your arsenal, as many data science projects start with the first step of obtaining an appropriate data set, so why not utilize the treasure trove of information the web provides. As such, we've strived to offer a guide that: Is concise and to the point, whilst also being thorough Is geared towards data scientists: we'll show you how web scraping fits into the data science workflow Takes a "code first" approach to get you up to speed quickly without too much boilerplate text Is modern by using well-established best practices and Python packages only Shows how to handle the web of today, including JavaScript, cookies, and common web scraping mitigation techniques Includes a thorough managerial and legal discussion regarding web scraping Provides lots of pointers for further reading and learning Includes many larger, fully worked out examples Chapter Overview Nine chapters are included in this book. In Chapter 1, we provide a brief overview on web scraping and real-life use cases and make sure your Python environment is set up correctly. In Chapter 2, you'll learn the basics regarding HTTP, the core piece of technology behind the web, and the requests Python library. In Chapter 3, we start working with HTML and CSS sites, using the Beautiful Soup library. Chapter 4 returns to HTTP, exploring it more detail. Chapter 5 introduces the Selenium library, which you'll use to scrape JavaScript-heavy websites. Chapter 6 explains web crawling in detail. In Chapter 7, an in-depth discussion regarding managerial and legal concerns is provided. Chapter 8 recaps best practices and provides pointers to other tools. Chapter 9 includes fourteen, fully worked out web scraping examples bringing everything you've learned together, and illustrates various interesting data science oriented use cases.
Computers

Web and Network Data Science

Author: Thomas W. Miller

Publisher: FT Press

ISBN:

Category: Computers

Page: 384

View: 892

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
Language Arts & Disciplines

Computer-Assisted Reporting

Author: Fred Vallance-Jones

Publisher: Oxford University Press, USA

ISBN:

Category: Language Arts & Disciplines

Page: 313

View: 518

Computer-Assisted Reporting: A Comprehensive Primer is a foundational guide to CAR, and the only one written from a Canadian perspective. Ideal for journalism students as well as practicing reporters in print and broadcasting, the text provides indispensable instruction and helpful tips for using the major classes of CAR software. Each chapter teaches a range of software skills using the same types of data that journalists encounter. Engaging examples are drawn from actual CAR generated articles and newsroom stories. To ensure accessibility, the text avoids acronyms and complicated computer terminology, and is richly illustrated with informative screen shots. Computer-assisted reporting has become an essential skill for all journalists, a fact that this text acknowledges by combining the best elements of traditional information gathering with modern computerized techniques.