PyDLR31 =======

::

• # UnboundLocalError: local variable 'D' referenced before assignment # Python Introductory Course 8.-10. April 2019 # Python 3.7 D = {} def foo():

  • if False:
    • D = {}
    D["blue"] = "blau" print("D local:", D) return D
  D = foo() print(D)

Py@DLR22 ========

Python 3

* Jake VanderPlas, A Whirlwind Tour of Python (freier Text mit 100 Seiten plus

• Jupyter Notebooks)

  https://github.com/jakevdp/WhirlwindTourOfPython

* Kevin Sheppard, Python for Econometrics, 2017

• https://www.kevinsheppard.com/Python_for_Econometrics

SciPy

* http://www.scipy-lectures.org (inkl. Datensaetzen und Aufgaben)

• - Numpy http://www.scipy-lectures.org/intro/numpy/index.html - Matplotlib http://www.scipy-lectures.org/intro/matplotlib/index.html - SciPy http://www.scipy-lectures.org/intro/matplotlib/index.html - Statistics (ein wenig Pandas) http://www.scipy-lectures.org/packages/statistics/index.html

* Matplotlib Gallery (viele Beispiele mit Sourcecode)

• http://matplotlib.org/gallery.html

* Hans Petter Langtangen, A very basic introduction to scientific Python programming,

• 2016

  http://hplgit.github.io/bumpy/doc/pub/basics.html

* Svein Linge, Hans Petter Langtangen, Programming for Computations - Python

• A Gentle Introduction to Numerical Simulations with Python, 2016 (Open Access)

  http://link.springer.com/book/10.1007%2F978-3-319-32428-9

Pandas

* Pandas Homepage, siehe *10 Minutes to Pandas*, *Tutorials*, *Lessons for

• new Pandas users*, ...

  http://pandas.pydata.org/pandas-docs/stable/

* Beispiele aus dem Netz, leicht modifiziert. U.a. Excel Writer, Pandas Reader,

• Pandas Zeitserie, Numpy: Textdateien einlesen, ...

  http://www.hhoegl.de/start_python/bookonl/demos/py_data_io/

* Karlijn Willems, Pandas Tutorial: DataFrames in Python, October 2016

* https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python

* http://www.analyticsvidhya.com/blog/2015/04/comprehensive-guide-data-exploration-sas-using-python-numpy-scipy-matplotlib-pandas/

* http://blog.brakmic.com/data-science-for-losers

* Wes McKinney, Python for Data Analysis, O'Reilly 2013.

* Cheat sheets

• - https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf - https://www.datacamp.com/community/blog/python-pandas-cheat-sheet#gs.EBTvnMY