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In relation to general assignments, see Angell on Assignments, passim; 1 Hate & Wall. By an assignment of a right all the accessories which belong to it, will pass with it as, if the assignor of a bond had collateral security, or a lien on property, the collateral security and the lien will pass with the assignment of the bond. Currently, this feature is available only in statement form, making it unavailable in list comprehensions and other expression contexts.
For example, For the comprehension body (the part before the first "for" keyword) and the filter expression (the part after "if" and before any nested "for"), this restriction applies solely to target names that are also used as iteration variables in the comprehension.
Lambda expressions appearing in these positions introduce a new explicit function scope, and hence may use assignment expressions with no additional restrictions.
instead of writing: # Handle a matched regex if (match := pattern.search(data)) is not None: # Do something with match # A loop that can't be trivially rewritten using 2-arg iter() while chunk := file.read(8192): process(chunk) # Reuse a value that's expensive to compute [y := f(x), y**2, y**3] # Share a subexpression between a comprehension filter clause and its output filtered_data = [y for x in data if (y := f(x)) is not None] declaration for the target, the assignment expression honors that.
A lambda (being an explicit, if anonymous, function definition) counts as a scope for this purpose.
The assignment of a thing also carries with it all that belongs to it by right of accession; if, therefore, the thing produce interest or rent, the interest or the arrearages of the rent since the assignment, will belong to the assignee.
As part of this change, there is also an update to dictionary comprehension evaluation order to ensure key expressions are executed before value expressions (allowing the key to be bound to a name and then re-used as part of calculating the corresponding value).
Guido van Rossum searched through a Dropbox code base and discovered some evidence that programmers value writing fewer lines over shorter lines.
Case in point: Guido found several examples where a programmer repeated a subexpression, slowing down the program, in order to save one line of code, e.g.
His conclusion: the current proposal would have allowed a modest but clear improvement in quite a few bits of code.
Another use of real code is to observe indirectly how much value programmers place on compactness.