Programming Tech Brief By HackerNoon

Augmented Linked Lists: An Essential Guide

This story was originally published on HackerNoon at: https://hackernoon.com/augmented-linked-lists-an-essential-guide. While a linked list is primarily a write-only and sequence-scanning data structure, it can be optimized in different ways. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #data-structures, #linked-lists, #memory-management, #linked-lists-explained, #how-does-a-linked-list-work, #hackernoon-top-story, #eviction-keys, #linked-list-guide, and more. This story was written by: @amoshi. Learn more about this writer by checking @amoshi's about page, and for more stories, please visit hackernoon.com. While a linked list is primarily a write-only and sequence-scanning data structure, it can be optimized in different ways. Augmentation is an approach that remains effective in some cases and provides extra capabilities in others.

How to Write Tests for Free

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-write-tests-for-free. This article describes deeper analysis on whether to write tests or not, brings pros and cons, and shows a technique that could save you a lot of time Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #testing, #should-i-write-tests, #how-to-write-tests, #increase-coverage, #test-driven-development, #why-tests-matter, #what-is-tdd, #are-tests-necessary, and more. This story was written by: @sergiykukunin. Learn more about this writer by checking @sergiykukunin's about page, and for more stories, please visit hackernoon.com. This article describes deeper analysis on whether to write tests or not, brings pros and cons, and shows a technique that could save you a lot of time and efforts on writing tests.

Five Questions to Ask Yourself Before Creating a Web Project

This story was originally published on HackerNoon at: https://hackernoon.com/five-questions-to-ask-yourself-before-creating-a-web-project. Web projects can fail for many reasons. In this article I will share my experience that will help you solve some of them. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #web-development, #security, #programming, #secrets-stored-in-code, #library-licenses, #access-restriction, #closing-unused-ports, #hackernoon-top-story, and more. This story was written by: @shcherbanich. Learn more about this writer by checking @shcherbanich's about page, and for more stories, please visit hackernoon.com. Web projects can fail for many reasons. In this article I will share my experience that will help you solve some of them.

Declarative Shadow DOM: The Magic Pill for Server-Side Rendering and Web Components

This story was originally published on HackerNoon at: https://hackernoon.com/declarative-shadow-dom-the-magic-pill-for-server-side-rendering-and-web-components. Discover how to use Shadow DOM for server-side rendering to improve web performance and SEO. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #server-side-rendering, #shadow-dom, #web-components, #declarative-shadow-dom, #static-html, #web-component-styling, #web-performance-optimization, #imperative-api-shadow-dom, and more. This story was written by: @pradeepin2. Learn more about this writer by checking @pradeepin2's about page, and for more stories, please visit hackernoon.com. Shadow DOM is a web standard enabling encapsulation of DOM subtrees in web components. It allows developers to create isolated scopes for CSS and JavaScript within a document, preventing conflicts with other parts of the page. Shadow DOM's key feature is its "shadow root," serving as a boundary between the component's internal structure and the rest of the document.

How to Scrape Data Off Wikipedia: Three Ways (No Code and Code)

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-scrape-data-off-wikipedia-three-ways-no-code-and-code. Get your hands on excellent manually annotated datasets with Google Sheets or Python Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #google-sheets, #data-analysis, #pandas, #data-scraping, #web-scraping, #wikipedia-data, #scraping-wikipedia-data, and more. This story was written by: @horosin. Learn more about this writer by checking @horosin's about page, and for more stories, please visit hackernoon.com. For a side project, I turned to Wikipedia tables as a data source. Despite their inconsistencies, they proved quite useful. I explored three methods for extracting this data: - Google Sheets: Easily scrape tables using the =importHTML function. - Pandas and Python: Use pd.read_html to load tables into dataframes. - Beautiful Soup and Python: Handle more complex scraping, such as extracting data from both tables and their preceding headings. These methods simplify data extraction, though some cleanup is needed due to inconsistencies in the tables. Overall, leveraging Wikipedia as a free and accessible resource made data collection surprisingly easy. With a little effort to clean and organize the data, it's possible to gain valuable insights for any project.