⇤ ← Revision 1 vom 2019-04-10 20:05:50
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## PyDLR31 | PyDLR31 ======= |
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{{{ # UnboundLocalError: local variable 'D' referenced before assignment # Python Introductory Course 8.-10. April 2019 # Python 3.7 |
:: |
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D = {} | # UnboundLocalError: local variable 'D' referenced before assignment # Python Introductory Course 8.-10. April 2019 # Python 3.7 |
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def foo(): if False: D = {} D["blue"] = "blau" print("D local:", D) return D |
D = {} def foo(): if False: D = {} D["blue"] = "blau" print("D local:", D) return D |
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D = foo() print(D) |
D = foo() print(D) |
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}}} | 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 |
PyDLR31 =======
::
# UnboundLocalError: local variable 'D' referenced before assignment # Python Introductory Course 8.-10. April 2019 # Python 3.7 D = {} def foo():
- if False:
- D = {}
- if False:
Py@DLR22 ========
Python 3
* Jake VanderPlas, A Whirlwind Tour of Python (freier Text mit 100 Seiten plus
- Jupyter Notebooks)
* Kevin Sheppard, Python for Econometrics, 2017
* 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)
* Hans Petter Langtangen, A very basic introduction to scientific Python programming,
* Svein Linge, Hans Petter Langtangen, Programming for Computations - Python
- A Gentle Introduction to Numerical Simulations with Python, 2016 (Open Access)
Pandas
* Pandas Homepage, siehe *10 Minutes to Pandas*, *Tutorials*, *Lessons for
- new Pandas users*, ...
* Beispiele aus dem Netz, leicht modifiziert. U.a. Excel Writer, Pandas Reader,
- Pandas Zeitserie, Numpy: Textdateien einlesen, ...
* Karlijn Willems, Pandas Tutorial: DataFrames in Python, October 2016
* https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python
* http://blog.brakmic.com/data-science-for-losers
* Wes McKinney, Python for Data Analysis, O'Reilly 2013.
* Cheat sheets