https://advenn.github.io/blog/tags/python/Recent content in Python on Asadbek KurbonovHugo -- 0.148.0en-usMon, 24 Nov 2025 22:00:00 +0100https://advenn.github.io/blog/posts/go-python-architecture/Mon, 24 Nov 2025 22:00:00 +0100https://advenn.github.io/blog/posts/go-python-architecture/<p><em>This is Part 2 of a series. Read <a href="../pandas-vs-polars-in-production/">Part 1: Pandas vs Polars in Production - Performance Comparison</a> for the background on the Polars migration.</em></p> <hr> <p>After migrating from Pandas to Polars, CPU performance improved dramatically—but a memory problem persisted. Despite extensive debugging, I couldn&rsquo;t identify the root cause. So I made a pragmatic decision: architect around it.</p> <p>This is the story of splitting a monolithic Python application into a Go orchestration service with Python workers, not because I fully understood the problem, but because I needed production to be stable.</p>https://advenn.github.io/blog/posts/convert-to-pdf-with-libreoffice/Fri, 21 Nov 2025 23:42:51 +0100https://advenn.github.io/blog/posts/convert-to-pdf-with-libreoffice/<h2 id="the-problem">The Problem</h2> <p>While working on a freelance project, I needed to generate PDF reports from Excel files. The challenge? The Excel files were wide and long. Here we see a sample Excel file around 15 columns containing employee data like ID, name, email, department, job title, hire date, salary, and more.</p> <p>I used LibreOffice&rsquo;s CLI utility <code>convert-to</code> in headless mode to convert the files. The conversion worked, but the result was unusable:</p>