<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HTTP Requests on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/http-requests/</link><description>Recent content in HTTP Requests on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 11 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/http-requests/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 10: GraphQL Client Integration and Concerns</title><link>https://ai-blog.noorshomelab.dev/angular-production-guide-2026/graphql-client-integration/</link><pubDate>Wed, 11 Feb 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/angular-production-guide-2026/graphql-client-integration/</guid><description>&lt;h2 id="chapter-10-graphql-client-integration-and-concerns"&gt;Chapter 10: GraphQL Client Integration and Concerns&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 10! So far, we&amp;rsquo;ve explored many powerful HTTP networking patterns, leveraging Angular&amp;rsquo;s &lt;code&gt;HttpClient&lt;/code&gt; and &lt;code&gt;HttpInterceptor&lt;/code&gt;s for traditional REST APIs. But what if your backend speaks a different language, a more flexible and efficient one called GraphQL? In this chapter, we&amp;rsquo;re going to dive deep into integrating a GraphQL client into your standalone Angular application.&lt;/p&gt;
&lt;p&gt;GraphQL offers a paradigm shift in how frontend applications fetch data. Instead of multiple REST endpoints, you interact with a single endpoint, requesting precisely the data you need. This chapter will equip you with the knowledge to harness GraphQL&amp;rsquo;s power, allowing your Angular apps to communicate efficiently with modern backends. We&amp;rsquo;ll focus on the popular Apollo Client, learning how to query data, perform mutations, manage client-side cache, and handle authorization, all within the standalone Angular ecosystem.&lt;/p&gt;</description></item><item><title>Project: Interacting with an API</title><link>https://ai-blog.noorshomelab.dev/python-mastery-2025/chapter-17-project-interacting-with-api/</link><pubDate>Wed, 03 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/python-mastery-2025/chapter-17-project-interacting-with-api/</guid><description>&lt;h2 id="chapter-17-project-interacting-with-an-api"&gt;Chapter 17: Project: Interacting with an API&lt;/h2&gt;
&lt;p&gt;Welcome back, aspiring Pythonista! So far, we&amp;rsquo;ve learned how to make our Python programs perform calculations, handle data, make decisions, and even manage files. That&amp;rsquo;s a solid foundation! But what if your program needs to get information from &lt;em&gt;outside&lt;/em&gt; itself? What if it needs to talk to other services on the internet?&lt;/p&gt;
&lt;p&gt;That&amp;rsquo;s precisely what we&amp;rsquo;ll tackle in this exciting chapter: &lt;strong&gt;interacting with an API&lt;/strong&gt;. You&amp;rsquo;ll discover how to connect your Python applications to external web services, fetch data, and even send information using the power of &lt;strong&gt;HTTP requests&lt;/strong&gt;. This is a fundamental skill for any modern developer, opening up a world of possibilities from building weather apps to automating social media tasks.&lt;/p&gt;</description></item></channel></rss>