From 3433d8413545fad09d10f22394466e18e48bf154 Mon Sep 17 00:00:00 2001 From: arvin95 Date: Tue, 6 Jul 2021 14:49:28 +0800 Subject: [PATCH] Update introduction.md added quick tutorials for pandas, NumPy and SciPy. --- pages/python/introduction.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/pages/python/introduction.md b/pages/python/introduction.md index 977cb89b..12769701 100644 --- a/pages/python/introduction.md +++ b/pages/python/introduction.md @@ -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.