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Due to the vastness of the universe, it is difficult to know who is who when it comes to the Internet. That is why the DE Ruprecht Organisation for the protection of the rights of the individual in the Internet space, an association for individuals who are the victims of deceit in internet networks, was established.

The aim of the DE Ruprecht Association is to protect individuals in the sense of European law in the internet space. For this purpose, the association pursues legal and technical measures to protect and strengthen the rights of individuals.

In addition, the association provides information to victims of Internet fraud and promotes education and communication regarding the protection of the rights of individuals in the Internet space.

The association is one of the oldest associations of its kind, was founded on 24. 1. 2003, and since then it has been actively working in order to protect individuals in the Internet space.

De Ruprecht is funded by the German Federal Office for Information Technology, the European Commission, the European Union and member organisations. All the services of the DE Ruprecht Association are oriented towards giving individuals the certainty to which they are entitled. www.dr-ueberwachung-de-ueberwachung.de/

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Loop to calculate a column in a dataframe in panda

I have a dataframe as below

df =

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Most pythonic way to convert a list into a dict of lists

I’m new to python and am looking for a pythonic way to convert a list of x/y coordinates into a dictionary, such as:
my_list = [ [1,2],[3,4],[5,6] ]

my_dict = { [1,2] : ‘a’, [3,4] : ‘b’, [5,6] : ‘c’ }

This is a simplified version of what I need to do, but what is the best pythonic way to get that result?

A:

A straightforward implementation:
>>> my_
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