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At a Glance: Web Scraping

Web scraping is the process of extracting data from information freely available on the web. If you want to automate the process of gathering large volumes of information from multiple webpages and sites, a web scraping professional can help you get started.
Web scrapers can use programming languages like Python, Perl, Ruby, or Java to write scripts capable of extracting images, files, contact details, and other information from the web. They can gather data such as email addresses, phone numbers, and physical addresses, then compile that information into organized lists and tables in CSV, .txt, or Excel formats. Web scraping can be as high-tech as using bots and web crawlers to mimic search engines and as low-tech as good old-fashioned human research with copy-and-paste. Web scraping professionals on Upwork can employ a variety of tools like Uipath, Import.io, or Kimono to extract information from the web and deliver it into your data format of choice.

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Python: A Powerful Language for High-Traffic, Data-Heavy Apps

Python is hugely valuable to companies that need to quickly prototype new products and data-focused companies that need to integrate statistical analysis into their workflows. In this article, we’ll explore what sets Python apart from other programming languages, why it’s popular with data scientists, and what you should look for in a Python engineer.

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Web Development

6 Reasons Sass Should Be In Every Front-End Developer’s Toolbox

CSS pre-processors, like Sass, are one tool that no front-end developers should live without. Here’s a look at how the Sass CSS pre-processor can supercharge productivity, help developers write more succinct CSS, and keep files organized.

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