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====== More about Scientific Python ======



===== Python Tutorials =====

  - Learn Python: https://www.learnpython.org/
  - Python for Beginners: https://www.pythonforbeginners.com/
  - Python Tutorial: https://www.w3schools.com/python/

Quelle: Unterhaltung mit Bing, 19.3.2023

(1) NumPy - Learn. https://numpy.org/learn/ Zugegriffen 19.3.2023.
(2) Jupyter notebook tutorial in Python - Plotly. https://plotly.com/python/ipython-notebook-tutorial/ Zugegriffen 19.3.2023.
(3) GitHub - numpy/numpy-tutorials: NumPy tutorials & educational content .... https://github.com/numpy/numpy-tutorials Zugegriffen 19.3.2023.
(4) More than 15 jupyter notebooks to learn Numpy | Data Science and .... https://www.kaggle.com/getting-started/115421 Zugegriffen 19.3.2023.


Sure! Here are some free and widely used tutorials for Python, Numpy, and Pandas:

  - [[https://www.codecademy.com/article/introduction-to-numpy-and-pandas|Introduction to Pandas and NumPy]] - This tutorial is a great introduction to Pandas and NumPy and is perfect for beginners.
  - [[https://www.coursera.org/projects/python-for-data-analysis-numpy|Python for Data Analysis: Pandas & NumPy]] - This course is offered by Coursera and is a great way to learn the basics of Python, Numpy, and Pandas.
  - [[https://www.youtube.com/watch?v=r-uOLxNrNk8|Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)]] - This is a free course offered by freeCodeCamp.org and is a great way to learn data analysis using Python.

I hope this helps! Let me know if you have any other questions.

Source: Conversation with Bing, 19/03/2023(1) Introduction to Pandas and NumPy | Codecademy. https://www.codecademy.com/article/introduction-to-numpy-and-pandas Accessed 19/03/2023.
(2) Python for Data Analysis: Pandas & NumPy - Coursera. https://www.coursera.org/projects/python-for-data-analysis-numpy Accessed 19/03/2023.
(3) Data Analysis with Python - Full Course for Beginners (Numpy, Pandas .... https://www.youtube.com/watch?v=r-uOLxNrNk8 Accessed 19/03/2023.


===== Other =====

  * [[http://ipython.org/videos.html|Science And Python: retrospective of a (mostly) successful decade]] (screencast)
  * [[http://www.youtube.com/watch?v=3Fp1zn5ao2M&feature=plcp|Eric Jones' IPython video tutorial]]
  * http://www.johnkerl.org/doc/python/science.pdf

  * http://scipy-lectures.github.io/ (scipy lecture)
  * http://pyvideo.org/category/20/scipy_2012
  * http://www.youtube.com/watch?v=zwzR0z0_Gn0&list=SP7E11B34616530F5E&index=15 (Kurt Schwehr, matplotlib 1)
  * http://archive.ipython.org/tmp/IntroNumPy.pdf (numpy intro, 

  * http://pythonbooks.revolunet.com/ (list of Python books)

===== Qt 4 =====

  * http://py.bo.vc/ (Qt and Python screencasts)


===== matplotlib =====

  * http://matplotlib.org/gallery.html

===== Real time graphics =====

==== pyqtgraph ====

  * http://www.pyqtgraph.org/
  * http://vimeo.com/63327544 (video about pyqtgraph)

==== matplotlib ====

  * http://simpy.sourceforge.net/_build/Recipes/Recipe002.html
  * http://mindseye.no/2011/04/03/animating-plots-and-waves-in-python-using-matplotlib/
  * http://stackoverflow.com/questions/4098131/matplotlib-update-a-plot/4098938#4098938

===== Python Turtle =====

  * http://pythonturtle.org/

===== Education Special Interest Group =====

  * http://www.python.org/community/sigs/current/edu-sig/

===== Courses, Tutorials =====

  * http://www.python-course.eu/index.php
  * http://raspberrycenter.de/handbuch/python-programmierung
  * https://developers.google.com/edu/python/?hl=de