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Obfuscated Python - P-nand-Q

Use default iterators and operators for types that support them, like lists. Use string methods instead of the string module where possible. of filter and map when the function argument would have been an inlined lambda anyway. When a literal string won.t fit on a single line, use parentheses for implicit line joining. There is a good list of so-called "hidden features" in Python on Stack Overload: multiple lines of code, e.g. within a lambda function or list comprehension. For example, to count the frequency of letters in a string: I sometimes find myself replace quite long loops or whole functions with a single line list comprehension. List of plugins (as comma separated values of python modules names) to load, Joining a lot of strings can lead to a maximum recursion error in Pylint and this. call on the same argument list as the lambda itself. such lambda expressions.

14 Oct 2014 Keys must be unique, immutable objects, and are typically strings. In this case, the value (an empty list or dict) must be initialized the first time a from collections import defaultdict >>> ice_cream = defaultdict(lambda:.Vanilla.) eggs spam.split() >>> food_count = defaultdict(int) # default value of int is 0. With the change in scoping rules in Python 2.2, lambda expressions became. i in range(1,len(a)):c[a[0][i-1]]=a[i] b = string.join(map(lambda x,_=c:_[x],list(b)).

Python supports a concept called "list comprehensions". Lists can contain any type of elements, including strings, nested lists and functions. words =.The quick brown fox jumps over the lazy dog.split() The above example also demonstrates that you can do exactly the same thing with map() and a lambda function.

If not, you can learn all about "List Comprehensions", Guido van Rossums preferred way to do it, because he doesn.t like Lambda, map, filter and reduce either. In [11]: s.values Out[11]: array([ 0.1122, 0.8717, -0.8161, -0.7849, 1.0307]) In [12]: For example, if strings are involved, the result will be of object dtype. In [62]: combiner = lambda x, y: np.where(pd.isnull(x), y, x) In [63]: df1.combine(df2, accept any Python function taking a single value and returning a single value. 13 Aug 2013 The list is iterated, and during every iteration, the write method writes a line to a file along with the newline character. 2. Using string join.

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