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6 changes: 6 additions & 0 deletions pages/python/introduction.md
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Expand Up @@ -49,4 +49,10 @@ In addition, Python has a rich ecosystem for scientific inquiry in the form of m
- [xarray](http://xarray.pydata.org/en/stable/), N-D array handling with metadata
- [Pandas](https://pandas.pydata.org/pandas-docs/stable/), library for tabular data analysis

Here are quick tutorials for some of these popular Python packages:

- [Pandas Tutorial](https://jobtensor.com/Tutorial/Python/en/Pandas)
- [NumPy Tutorial](https://jobtensor.com/Tutorial/Python/en/NumPy)
- [SciPy Tutorial](https://jobtensor.com/Tutorial/Python/en/SciPy)

In summary, Python's pragmatic focus for getting work done makes it an excellent choice for science students and professionals.