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--- supp:python:scientific_python [2019/11/18 10:23] – [Motivation] admin
+++ supp:python:scientific_python [2020/04/21 05:30] – [Python Numpy Tutorial (with Jupyter and Colab)] admin
@@ Line 1: / Line 1: @@
 ====== Scientific Python ======
-===== Motivation =====
+===== 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]]
-We often use 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 =====