info/learnxinyminutes-docs
1
0
Fork 0
mirror of https://github.com/adambard/learnxinyminutes-docs.git synced 2025-08-14 10:45:06 +02:00
Code Issues Releases Wiki Activity

typo fixes and version in docs

Browse Source
This commit is contained in:
hirohope
2014-05-18 22:58:35 -04:00
parent 5f49993e55
commit 7487e48d03
2 changed files with 7 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
es-es/python-es.html.markdown
View File

@@ -130,7 +130,7 @@ otra_variable # Levanta un error de nombre
# 'if' puede ser usado como una expresión # 'if' puede ser usado como una expresión
"yahoo!" if 3 > 2 else 2 #=> "yahoo!" "yahoo!" if 3 > 2 else 2 #=> "yahoo!"
# Listas sobre secuencias # Listas almacenan secuencias
lista = [] lista = []
# Puedes empezar con una lista prellenada # Puedes empezar con una lista prellenada
otra_lista = [4, 5, 6] otra_lista = [4, 5, 6]
@@ -254,7 +254,7 @@ conjunto_lleno | otro_conjunto #=> {1, 2, 3, 4, 5, 6}
# Haz diferencia de conjuntos con - # Haz diferencia de conjuntos con -
{1,2,3,4} - {2,3,5} #=> {1, 4} {1,2,3,4} - {2,3,5} #=> {1, 4}
# CHequea la existencia en un conjunto con 'in' # Chequea la existencia en un conjunto con 'in'
2 in conjunto_lleno #=> True 2 in conjunto_lleno #=> True
10 in conjunto_lleno #=> False 10 in conjunto_lleno #=> False

10
python3.html.markdown
View File

@@ -318,7 +318,7 @@ except IndexError as e:
# Python's offers a fundamental abstraction called the Iterable. # Python's offers a fundamental abstraction called the Iterable.
# An iterable is an object that can be treated as a sequence. # An iterable is an object that can be treated as a sequence.
# The object returned the range function, is an iterable. # The object returned the range function, is an iterable.
filled_dict = {"one": 1, "two": 2, "three": 3} filled_dict = {"one": 1, "two": 2, "three": 3}
@@ -336,7 +336,7 @@ our_iterable[1] # Raises a TypeError
our_iterator = iter(our_iterable) our_iterator = iter(our_iterable)
# Our iterator is an object that can remember the state as we traverse through it. # Our iterator is an object that can remember the state as we traverse through it.
# We get the next object by calling the __next__ function. # We get the next object by calling the __next__ function.
our_iterator.__next__() #=> "one" our_iterator.__next__() #=> "one"
# It maintains state as we call __next__. # It maintains state as we call __next__.
@@ -357,7 +357,7 @@ list(filled_dict.keys()) #=> Returns ["one", "two", "three"]
# Use "def" to create new functions # Use "def" to create new functions
def add(x, y): def add(x, y):
print("x is %s and y is %s" % (x, y)) print("x is {} and y is {}".format(x, y))
return x + y # Return values with a return statement return x + y # Return values with a return statement
# Calling functions with parameters # Calling functions with parameters
@@ -565,9 +565,9 @@ print(say(say_please=True)) # Can you buy me a beer? Please! I am poor :(
* [Dive Into Python](http://www.diveintopython.net/) * [Dive Into Python](http://www.diveintopython.net/)
* [Ideas for Python Projects](http://pythonpracticeprojects.com) * [Ideas for Python Projects](http://pythonpracticeprojects.com)
* [The Official Docs](http://docs.python.org/2.6/) * [The Official Docs](http://docs.python.org/3/)
* [Hitchhiker's Guide to Python](http://docs.python-guide.org/en/latest/) * [Hitchhiker's Guide to Python](http://docs.python-guide.org/en/latest/)
* [Python Module of the Week](http://pymotw.com/2/) * [Python Module of the Week](http://pymotw.com/3/)
* [A Crash Course in Python for Scientists](http://nbviewer.ipython.org/5920182) * [A Crash Course in Python for Scientists](http://nbviewer.ipython.org/5920182)
### Dead Tree ### Dead Tree