Originally published at ffmpeg-micro.com You need a thumbnail from a video file. Maybe you're building a video gallery, generating preview images for a CMS, or creating social media cards from uploaded content. The usual advice is to install FFmpeg on your server and write extraction scripts. That works until you need it in production. FFmpeg can extract a single frame from any video using two fla
The DataFrame class (from Pandas) is a work of art. Even if you never "do data", priceless lessons can be gleaned by studying this class. It starts simple enough. Usually you will create a DataFrame by ingesting from a CSV file or database table or something. But you can whip up a small one like this: import pandas as pd df = pd.DataFrame({ 'A': [-137, 22, -3, 4, 5], 'B': [10, 11,
Originally published at ffmpeg-micro.com Zapier doesn't support FFmpeg. You can't install binaries, run shell commands, or execute video processing natively in a Zap. If you've tried, you've probably hit the same wall everyone else does. But Zapier can make HTTP requests. And that's all you need. By calling FFmpeg Micro's REST API from a Zapier webhook action, you can transcode, compress, convert,
If you've ever tried to download a video from Reddit, you've probably ended up with a silent MP4 file. No audio. No error. Just a video that should have sound but doesn't. This isn't a bug in your downloader. It's how Reddit stores videos. Most video platforms (YouTube, Twitter, etc.) serve videos as a single muxed file — video and audio combined in one stream. Easy to download, plays anywhere. Re
When we talk about Data Visualization and Dashboards, enterprise tools like Tableau or PowerBI often dominate the conversation. However, for Data Scientists and Developers, these GUI-based tools can feel restrictive. What if you need complex machine learning integration, custom UI logic, or automated CI/CD deployments? Enter the holy trinity of Python visualization tools: Streamlit, Dash, and Boke
[05] When to Pull the Trigger on FIRE — Monte Carlo Says You're Already Free This is Part 5 of a 6-part series: Building Investment Systems with Python "You need 25x your annual expenses." That's the standard FIRE rule. For ¥9.6M annual expenses, that's ¥240M. Most people see that number and think: "I'll never get there." But the 25x rule assumes a fixed 4% withdrawal rate, zero income, zero ada