wtf is leetcode-pandas?

The leetcode-pandas project is a collection of solutions to data manipulation problems using the pandas library in Python. It is aimed at people who want to practice solving data-related challenges, similar to the ones you would find on LeetCode, using real Python code. At a high level, the repository serves as an answer key and study guide for the "Pandas" category of problems on the LeetCode platform. LeetCode is widely known for coding interviews, and these specific problems test your ability to filter, sort, group, and transform tabular data. Instead of writing traditional algorithmic code, users practice writing data queries and transformations. This repo organizes those solutions so you can check your work or see how a working solution is structured. The primary audience for this project is job seekers preparing for data analyst, data scientist, or backend developer interviews. Many companies now include a data manipulation round in their hiring process, expecting candidates to demonstrate proficiency with pandas. For example, if you are a beginner learning how to analyze data in Python, or a professional brushing up before an interview, you could use these solutions to understand the most effective ways to approach a problem. A product manager or founder working closely with data teams might also find it a useful reference for understanding how data engineers actually manipulate datasets to get the numbers they report. The project is straightforward and acts purely as a reference rather than a tool you install and run. The README doesn't go into detail about any specific features, coding standards, or prerequisites, so users are expected to already have a basic understanding of Python and the pandas library to make sense of the code. It is essentially a straightforward educational resource for data professionals.