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Python libraries for Data Analysis: | |
1. Scientific computing libraries: | |
Pandas -> data structures and tools | |
Numpy -> array and matrices | |
Scipy -> integrals, solving differential equations, optimization | |
2. Visualization libraries | |
Matplot -> plots & graphs, most popular | |
Seaborn -> plots: heat maps, time series, violin plots | |
3. Algorithmic libraries | |
Scikit-learn -> Machine learning: regression, classification,... |
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