Go Web Scraping Quick Start Guide
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Go Web Scraping Quick Start Guide
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Author : Vincent Smith
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-30
Go Web Scraping Quick Start Guide written by Vincent Smith and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-30 with Computers categories.
Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery.
R Web Scraping Quick Start Guide
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Author : Olgun Aydin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31
R Web Scraping Quick Start Guide written by Olgun Aydin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Computers categories.
Web Scraping techniques are getting more popular, since data is as valuable as oil in 21st century. Through this book get some key knowledge about using XPath, regEX; web scraping libraries for R like rvest and RSelenium technologies. Key FeaturesTechniques, tools and frameworks for web scraping with RScrape data effortlessly from a variety of websites Learn how to selectively choose the data to scrape, and build your datasetBook Description Web scraping is a technique to extract data from websites. It simulates the behavior of a website user to turn the website itself into a web service to retrieve or introduce new data. This book gives you all you need to get started with scraping web pages using R programming. You will learn about the rules of RegEx and Xpath, key components for scraping website data. We will show you web scraping techniques, methodologies, and frameworks. With this book's guidance, you will become comfortable with the tools to write and test RegEx and XPath rules. We will focus on examples of dynamic websites for scraping data and how to implement the techniques learned. You will learn how to collect URLs and then create XPath rules for your first web scraping script using rvest library. From the data you collect, you will be able to calculate the statistics and create R plots to visualize them. Finally, you will discover how to use Selenium drivers with R for more sophisticated scraping. You will create AWS instances and use R to connect a PostgreSQL database hosted on AWS. By the end of the book, you will be sufficiently confident to create end-to-end web scraping systems using R. What you will learnWrite and create regEX rulesWrite XPath rules to query your dataLearn how web scraping methods workUse rvest to crawl web pagesStore data retrieved from the webLearn the key uses of Rselenium to scrape dataWho this book is for This book is for R programmers who want to get started quickly with web scraping, as well as data analysts who want to learn scraping using R. Basic knowledge of R is all you need to get started with this book.
Business Intelegent Pengantar Business Intelligence Dalam Bisnis
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Author : Antonius Prahendratno
language : id
Publisher: PT. Sonpedia Publishing Indonesia
Release Date : 2023-06-14
Business Intelegent Pengantar Business Intelligence Dalam Bisnis written by Antonius Prahendratno and has been published by PT. Sonpedia Publishing Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Business & Economics categories.
Buku "Business Intelegent : Pengantar Business Intelligence dalam Bisnis" adalah panduan praktis untuk memahami dan menerapkan konsep dasar dan teknologi Business Intelligence dalam bisnis. Buku ini mencakup berbagai topik, mulai dari pengantar dan konsep dasar hingga teknologi, arsitektur, Tools dan Platform Business Intelligence. Selain itu, buku ini juga membahas konsep dasar Data Warehouse dan Data Mining, serta penerapan Business Intelligence dalam Pengambilan Keputusan. Melalui buku ini, pembaca akan memahami bagaimana bisnis dapat memanfaatkan Business Intelligence untuk meningkatkan efisiensi dan produktivitas, serta bagaimana penerapan Business Intelligence dapat memberikan keuntungan dalam pengambilan keputusan dan analisis data. Pembaca juga akan mempelajari tantangan dan peluang yang terkait dengan implementasi Business Intelligence dalam bisnis. Buku ini ditulis dengan bahasa yang mudah dipahami dan dilengkapi dengan contoh kasus, gambar, dan diagram yang membantu pembaca memahami konsep dan teknologi yang dibahas. Buku "Business Intelligent" cocok untuk para pemula maupun praktisi bisnis yang ingin mempelajari konsep dasar dan menerapkan Business Intelegent dalam bisnis mereka.
Eksplorasi Dan Analisis Data Bisnis
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Author : Samiaji Sarosa
language : id
Publisher: PT Kanisius
Release Date :
Eksplorasi Dan Analisis Data Bisnis written by Samiaji Sarosa and has been published by PT Kanisius this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Sains Data atau Data Science beserta Big Data, Artificial Intelligence, dan Machine Learning banyak diperbincangkan dalam dunia bisnis belakangan ini. Banyak yang menyambut baik penggunaannya, tetapi banyak pula yang “ketakutan” akan dampaknya. Buku ini bertujuan memberikan pemahaman dan mengantarkan pembaca pada apa yang sebenarnya terjadi dalam berbagai aplikasi berbasis kecerdasan buatan tersebut. Secara khusus, buku ini berfokus pada metode eksplorasi dan analisis data bisnis guna membuat keputusan yang lebih baik. Berbagai teknik pengambilan, persiapan, analisis, pelaporan, dan visualisasi data dipaparkan dengan contoh dan ilustrasi.
Quantitative Text Analysis Using R
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Author : Julian Bernauer
language : en
Publisher: SAGE Publications Limited
Release Date : 2025-03-14
Quantitative Text Analysis Using R written by Julian Bernauer and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Social Science categories.
Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection, and model choice, it helps you develop important research skills – and equips you with the programming tools you need to handle text data without error. The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will: · Help you develop key data skills like cleaning, managing, classifying and visualizing data · Encourage your ability to be critical and reflective when dealing with data · Offer clear guidance on using messy, real-world data and big data from sources like Wikipedia Supported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research.
Web Scraping With Python
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Author : Ryan Mitchell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-06-15
Web Scraping With Python written by Ryan Mitchell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-15 with Computers categories.
Learn web scraping and crawling techniques to access data from any web source in any format. Teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing.
Security With Go
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Author : John Daniel Leon
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-31
Security With Go written by John Daniel Leon and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-31 with Computers categories.
The first stop for your security needs when using Go, covering host, network, and cloud security for ethical hackers and defense against intrusion Key Features First introduction to Security with Golang Adopting a Blue Team/Red Team approach Take advantage of speed and inherent safety of Golang Works as an introduction to security for Golang developers Works as a guide to Golang security packages for recent Golang beginners Book Description Go is becoming more and more popular as a language for security experts. Its wide use in server and cloud environments, its speed and ease of use, and its evident capabilities for data analysis, have made it a prime choice for developers who need to think about security. Security with Go is the first Golang security book, and it is useful for both blue team and red team applications. With this book, you will learn how to write secure software, monitor your systems, secure your data, attack systems, and extract information. Defensive topics include cryptography, forensics, packet capturing, and building secure web applications. Offensive topics include brute force, port scanning, packet injection, web scraping, social engineering, and post exploitation techniques. What you will learn Learn the basic concepts and principles of secure programming Write secure Golang programs and applications Understand classic patterns of attack Write Golang scripts to defend against network-level attacks Learn how to use Golang security packages Apply and explore cryptographic methods and packages Learn the art of defending against brute force attacks Secure web and cloud applications Who this book is for Security with Go is aimed at developers with basics in Go to the level that they can write their own scripts and small programs without difficulty. Readers should be familiar with security concepts, and familiarity with Python security applications and libraries is an advantage, but not a necessity.
A Python Guide For Web Scraping
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Author : Pradumna Milind Panditrao
language : en
Publisher: BPB Publications
Release Date : 2021-05-18
A Python Guide For Web Scraping written by Pradumna Milind Panditrao and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Computers categories.
Get hands-on training on any web crawling/scraping tool and uses of web scraping in the real-time industry Ê KEY FEATURESÊÊ _ Includes numerous use-cases on the use of web scraping for industrial applications. _ Learn how to automate web scraping tasks. _ Explore ready-made syntaxes of Python scripts to run web scraping. DESCRIPTIONÊ A Python Guide for Web Scraping is a book that will give information about the importance of web scraping using Python. It includes real-time examples of web scraping. It implies the automation use cases of web scraping as well. It gives information about the different tools and libraries of web scraping so that readers get a wide idea about the features and existence of web scraping. In this book, we started with the basics of Python and its syntactical information. We briefed about the use cases and features of Python. We have explained the importance of Python in automation systems. Furthermore, we have added information about real-time industrial examples. We have concentrated and deep-dived into PythonÕs importance in web scraping, explained the different tools and their usages. We have explained the real-time industrial domain-wise use cases for web scraping. WHAT YOU WILL LEARN _ Explore the Python syntax and key features of using Python for web scraping. _ Usage of Python in the web scraping tasks and how to automate scraping. _ How to use different libraries and modules of Python. WHO THIS BOOK IS FORÊÊ This book is basically for data engineers and data programmers who have a basic knowledge of Python and for theÊ readers who want to learn about web scraping projects for industries. TABLE OF CONTENTS 1. Python Basics 2. Use Cases of Python 3. Automation Using Python 4. Industrial Automation-Python 5. Web Scraping 6. Web Scraping and Necessity 7. Python - Web Scraping and Different Tools 8. Automation in Web Scraping 9. Use Cases-Web Scraping 10. Industrial Benefits of Web Scraping
Football Analytics With Python R
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Author : Eric A. Eager
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-08-15
Football Analytics With Python R written by Eric A. Eager and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-15 with Mathematics categories.
Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data. Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to: Apply basic statistical concepts to football datasets Describe football data with quantitative methods Create efficient workflows that offer reproducible results Use data science skills such as web scraping, manipulating data, and plotting data Implement statistical models for football data Link data summaries and model outputs to create reports or presentations using tools such as R Markdown and R Shiny And more
Python Web Scraping Cookbook
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Author : Michael Heydt
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-09
Python Web Scraping Cookbook written by Michael Heydt and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.
Untangle your web scraping complexities and access web data with ease using Python scripts Key Features Hands-on recipes for advancing your web scraping skills to expert level One-stop solution guide to address complex and challenging web scraping tasks using Python Understand web page structures and collect data from a website with ease Book Description Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites and proxies. You'll explore a number of real-world scenarios where every part of the development or product life cycle will be fully covered. You will not only develop the skills to design reliable, high-performing data flows, but also deploy your codebase to Amazon Web Services (AWS). If you are involved in software engineering, product development, or data mining or in building data-driven products, you will find this book useful as each recipe has a clear purpose and objective. Right from extracting data from websites to writing a sophisticated web crawler, the book's independent recipes will be extremely helpful while on the job. This book covers Python libraries, requests, and BeautifulSoup. You will learn about crawling, web spidering, working with AJAX websites, and paginated items. You will also understand to tackle problems such as 403 errors, working with proxy, scraping images, and LXML. By the end of this book, you will be able to scrape websites more efficiently and deploy and operate your scraper in the cloud. What you will learn Use a variety of tools to scrape any website and data, including Scrapy and Selenium Master expression languages, such as XPath and CSS, and regular expressions to extract web data Deal with scraping traps such as hidden form fields, throttling, pagination, and different status codes Build robust scraping pipelines with SQS and RabbitMQ Scrape assets like image media and learn what to do when Scraper fails to run Explore ETL techniques of building a customized crawler, parser, and convert structured and unstructured data from websites Deploy and run your scraper as a service in AWS Elastic Container Service Who this book is for This book is ideal for Python programmers, web administrators, security professionals, and anyone who wants to perform web analytics. Familiarity with Python and basic understanding of web scraping will be useful to make the best of this book.