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--- supp:python:scientific_python [2019/11/18 10:24] – [Motivation] admin
+++ supp:python:scientific_python [2020/04/21 06:05] (current) – [Python Numpy Tutorial (with Jupyter and Colab)] admin
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 ====== Scientific Python ======
-===== Jupyter Notebook and JupyterLab =====
+===== Python Numpy Tutorial (with Jupyter and Colab) =====
+This great interactive [[https://cs231n.github.io/python-numpy-tutorial/|Python Numpy Tutorial]] \\ is part of the Stanford class [[https://cs231n.github.io/|CS231n: Convolutional Neural Networks for Visual Recognition]]
+The course is also provided on in interactive **[[https://colab.research.google.com/github/cs231n/cs231n.github.io/blob/master/python-colab.ipynb|Google Colab]]** session.
-We often use [[https://jupyterlab.readthedocs.io/en/stable/user/notebook.html|Jupyter Notebooks]] in several of my courses together with [[https://jupyterlab.readthedocs.io/en/stable/|JupyterLab]] being the current user interface of choice.
-In my view this interactive development environment maps the workflow of developing ideas and software for data analysis best. I especially appreciate the mixture of code cells and formatted text cells, in which Markdown (a lightweight markup language) and MathJax (special markup language for pretty math printing).
-This allows me to develop, describe and implement ideas to solve certain problems in a highly dynamic manner. Starting with an assumption on how a particular problem can be solved, I implement it (usually in Python) and test.
 ===== Think Python =====