Education good first issues

AI Summary: Prepare for the Amazon ML Summer School 2025 selection test by reviewing past papers, practicing programming questions, and potentially contributing remembered questions after the exam.

AI Summary: The task is to analyze the provided project information about Amazon's ML Summer School 2025, focusing on the selection process and preparation materials. Based on this, summarize the requirements for successful participation and provide a fun meter and complexity rating for the overall preparation process.

AI Summary: The task is to address a test issue ('Test Issue' with description 'Test Description') related to the LFX Insights project. The issue is linked to a Jira ticket (DE-208) and, given the project's current beta status and limited contribution scope, likely involves documentation updates or bug fixes within the existing frontend codebase.

AI Summary: Update the `CONTRIBUTING.md` file to improve the clarity and efficiency of the contribution process for the Placement Resources website. This involves refining the existing guidelines to make them more user-friendly and comprehensive for potential contributors.

AI Summary: Create a markdown file (basic-navigation.md) explaining basic Linux navigation commands (ls, cd, pwd, tree) with examples, potentially using a table format. This is part of a larger 6-month DevOps learning program, specifically for Week 1's Linux Fundamentals section.

AI Summary: Create a beginner-friendly, engaging historical overview of Linux, covering its origins from Unix and the GNU project, and Linus Torvalds' role in creating the kernel. The content should be suitable for inclusion in a DevOps learning program's introductory Linux section and presented in a markdown file (linux-history.md).

AI Summary: Translate the English content of a Linux VI Editor tutorial (resource.md) into Sinhala, creating a new file (resource.si.md) with a beginner-friendly translation. Technical terms should remain in English. The translation should be human-readable, not a direct machine translation.

AI Summary: Refactor the Go code for a course registration tool to improve readability and maintainability. The current codebase has inconsistent interfaces across methods and objects. The refactoring should aim to create a more organized and user-friendly structure.

AI Summary: The task is to add a new feature to an existing course registration tool for Chongqing University of Posts and Telecommunications (CQUPT). This involves creating a new module to handle physical education (PE) course registration, mirroring the existing structure and functionality for other course types. The developer needs to scrape the PE course data, implement the registration logic, and integrate it into the main application. The deadline is June 27th.

AI Summary: Update the `thu-learn-lib` JavaScript library to support the new Tsinghua University login interface, as the old interface is no longer functional. This involves reverse-engineering the new login process and modifying the library's authentication methods accordingly.

AI Summary: Develop three interactive cards for a 'Behavioral Training' module within an autism-focused web application. Each card should feature a different behavioral therapy (token board, choice-making animations, and short behavior modeling clips), a call-to-action button with hover effects, and route to a dedicated page (/autism/behavioraltraining). The solution should utilize plain React and aim for reusable card components.

AI Summary: Develop the UI for a Language and Literacy module within a web application for autism therapy. This involves creating four interactive cards (read-aloud stories, interest-based stories, phonics games, dictation games), each with a CTA button, and implementing routing to a dedicated module page. The solution should utilize plain React and a reusable card component.