KMK, Secretariat of the Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in the Federal Republic of Germany 2011; Le Deist and Winterton 2005). An important facet of professional competence is the professional knowledge acquired by the trainees. It is defined...
or even the major, determinant of its influence on practice; rather, more powerful actors hold considerable sway in determining what (and indeed whether) evidence is used” (Martin and Williams,2019, p. 55). However, “this does not also...
However, simply being surrounded by digital technologies does not mean that we are able to use them effectively to our and others’ benefit (Considine, Horton, & Moorman, 2009). Discussions about whether teachers and schools are taking advantage of the opportunities of digital technology in ...
Therefore, we summarized the professional tasks defined by the KMK (2004) in superordinate categories to develop a feasible category system that enables us to classify detailed as well as imprecise answers. Table 1. Categorization and total frequencies. CategoriesValenceExamplesMean valence rating...
Python does this in constant time without having to scan through every item by using hash functions. When Python looks up a key foo in a dict, it first computes hash(foo) (which runs in constant-time). Since in Python it is required that objects that compare equal also have the same ...
Python does this in constant time without having to scan through every item by using hash functions. When Python looks up a key foo in a dict, it first computes hash(foo) (which runs in constant-time). Since in Python it is required that objects that compare equal also have the same ...
How did Python find 5 in a dictionary containing 5.0? Python does this in constant time without having to scan through every item by using hash functions. When Python looks up a key foo in a dict, it first computes hash(foo) (which runs in constant-time). Since in Python it is requir...
Python does this in constant time without having to scan through every item by using hash functions. When Python looks up a key foo in a dict, it first computes hash(foo) (which runs in constant-time). Since in Python it is required that objects that compare equal also have the same ...
>>> some_tuple[2] = "change this" TypeError: 'tuple' object does not support item assignment >>> another_tuple[2].append(1000) #Das wirft keinen Fehler >>> another_tuple ([1, 2], [3, 4], [5, 6, 1000]) >>> another_tuple[2] += [99, 999] TypeError: 'tuple' object does...
Python does this in constant time without having to scan through every item by using hash functions. When Python looks up a key foo in a dict, it first computes hash(foo) (which runs in constant-time). Since in Python it is required that objects that compare equal also have the same ...