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author | Georg Brandl <georg@python.org> | 2016-02-26 18:37:12 (GMT) |
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committer | Georg Brandl <georg@python.org> | 2016-02-26 18:37:12 (GMT) |
commit | 5d9413404017a829aa5ddb52be6019fb63ec5c09 (patch) | |
tree | 75b750d4224ada300bdd242b3e08c2120681aad6 /Doc/howto/functional.rst | |
parent | 06871ef2b31bc6d7398388fbe83816edde5c0392 (diff) | |
download | cpython-5d9413404017a829aa5ddb52be6019fb63ec5c09.zip cpython-5d9413404017a829aa5ddb52be6019fb63ec5c09.tar.gz cpython-5d9413404017a829aa5ddb52be6019fb63ec5c09.tar.bz2 |
Closes #25910: fix dead and permanently redirected links in the docs. Thanks to SilentGhost for the patch.
Diffstat (limited to 'Doc/howto/functional.rst')
-rw-r--r-- | Doc/howto/functional.rst | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/Doc/howto/functional.rst b/Doc/howto/functional.rst index 945a240..6330be5 100644 --- a/Doc/howto/functional.rst +++ b/Doc/howto/functional.rst @@ -332,7 +332,7 @@ substring. List comprehensions and generator expressions (short form: "listcomps" and "genexps") are a concise notation for such operations, borrowed from the -functional programming language Haskell (http://www.haskell.org/). You can strip +functional programming language Haskell (https://www.haskell.org/). You can strip all the whitespace from a stream of strings with the following code:: line_list = [' line 1\n', 'line 2 \n', ...] @@ -716,7 +716,7 @@ returns them in a tuple:: It doesn't construct an in-memory list and exhaust all the input iterators before returning; instead tuples are constructed and returned only if they're requested. (The technical term for this behaviour is `lazy evaluation -<http://en.wikipedia.org/wiki/Lazy_evaluation>`__.) +<https://en.wikipedia.org/wiki/Lazy_evaluation>`__.) This iterator is intended to be used with iterables that are all of the same length. If the iterables are of different lengths, the resulting stream will be @@ -1199,7 +1199,7 @@ General **Structure and Interpretation of Computer Programs**, by Harold Abelson and Gerald Jay Sussman with Julie Sussman. Full text at -http://mitpress.mit.edu/sicp/. In this classic textbook of computer science, +https://mitpress.mit.edu/sicp/. In this classic textbook of computer science, chapters 2 and 3 discuss the use of sequences and streams to organize the data flow inside a program. The book uses Scheme for its examples, but many of the design approaches described in these chapters are applicable to functional-style @@ -1208,12 +1208,12 @@ Python code. http://www.defmacro.org/ramblings/fp.html: A general introduction to functional programming that uses Java examples and has a lengthy historical introduction. -http://en.wikipedia.org/wiki/Functional_programming: General Wikipedia entry +https://en.wikipedia.org/wiki/Functional_programming: General Wikipedia entry describing functional programming. -http://en.wikipedia.org/wiki/Coroutine: Entry for coroutines. +https://en.wikipedia.org/wiki/Coroutine: Entry for coroutines. -http://en.wikipedia.org/wiki/Currying: Entry for the concept of currying. +https://en.wikipedia.org/wiki/Currying: Entry for the concept of currying. Python-specific --------------- |