Exploratory Data Analysis (EDA) and data cleaning script for a cafe sales dataset. Handles missing values, errors, and generates insights on transactions, sales trends, and correlations using Python ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

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These are my go-to libraries for Python data crunching.

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the convenience ...