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6 Python Libraries I Use Daily and Can’t Live Without
I’ve been programming in Python for over four years, and if there’s one thing I’ve learned, it’s that the right library can make the difference between a weekend spent banging your head against the wall and a weekend spent shipping something useful. Over the years, I’ve tried and abandoned, a lot of libraries that promised “productivity boosts” but delivered nothing but frustration.
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These six libraries, however, have consistently saved me hours, sometimes days, and have become essential tools in my daily Python workflow. If you’re serious about automation and writing code that scales, these are the ones you need in your toolkit.
1. Pandas — My Data Obsession Starter Pack
If you’ve ever tried to manually process hundreds of CSV files or merge multiple Excel sheets, you know why Pandas feels like magic. For me, Pandas isn’t just a library, it’s the lens through which I view data.
Whether it’s cleaning datasets, performing aggregations, or generating reports automatically, Pandas is the first library I open every morning. A common workflow I automate with Pandas looks like…
