diff options
Diffstat (limited to 'python3.html.markdown')
| -rw-r--r-- | python3.html.markdown | 137 |
1 files changed, 106 insertions, 31 deletions
diff --git a/python3.html.markdown b/python3.html.markdown index 6c5e1059..acd6187c 100644 --- a/python3.html.markdown +++ b/python3.html.markdown @@ -4,6 +4,7 @@ contributors: - ["Louie Dinh", "http://pythonpracticeprojects.com"] - ["Steven Basart", "http://github.com/xksteven"] - ["Andre Polykanine", "https://github.com/Oire"] + - ["Zachary Ferguson", "http://github.com/zfergus2"] filename: learnpython3.py --- @@ -36,10 +37,10 @@ Note: This article applies to Python 3 specifically. Check out [here](http://lea 8 - 1 # => 7 10 * 2 # => 20 -# Except division which returns floats by default +# Except division which returns floats, real numbers, by default 35 / 5 # => 7.0 -# Result of integer division truncated down both for positive and negative. +# Result of integer division truncated down both for positive and negative. 5 // 3 # => 1 5.0 // 3.0 # => 1.0 # works on floats too -5 // 3 # => -2 @@ -51,13 +52,13 @@ Note: This article applies to Python 3 specifically. Check out [here](http://lea # Modulo operation 7 % 3 # => 1 -# Exponentiation (x to the yth power) +# Exponentiation (x**y, x to the yth power) 2**4 # => 16 # Enforce precedence with parentheses (1 + 3) * 2 # => 8 -# Boolean values are primitives +# Boolean values are primitives (Note: the capitalization) True False @@ -73,8 +74,8 @@ False or True #=> True # Note using Bool operators with ints 0 and 2 #=> 0 -5 or 0 #=> -5 -0 == False #=> True -2 == True #=> False +0 == False #=> True +2 == True #=> False 1 == True #=> True # Equality is == @@ -95,6 +96,16 @@ False or True #=> True 1 < 2 < 3 # => True 2 < 3 < 2 # => False +# (is vs. ==) is checks if two variable refer to the same object, but == checks +# if the objects pointed to have the same values. +a = [1, 2, 3, 4] # Point a at a new list, [1, 2, 3, 4] +b = a # Point b at what a is pointing to +b is a # => True, a and b refer to the same object +b == a # => True, a's and b's objects are equal +b = [1, 2, 3, 4] # Point a at a new list, [1, 2, 3, 4] +b is a # => False, a and b do not refer to the same object +b == a # => True, a's and b's objects are equal + # Strings are created with " or ' "This is a string." 'This is also a string.' @@ -145,7 +156,11 @@ bool({}) #=> False # Python has a print function print("I'm Python. Nice to meet you!") -# No need to declare variables before assigning to them. +# By default the print function also prints out a newline at the end. +# Use the optional argument end to change the end character. +print("Hello, World", end="!") # => Hello, World! + +# No need to declare variables before assigning to them. # Convention is to use lower_case_with_underscores some_var = 5 some_var # => 5 @@ -186,17 +201,20 @@ li[2:] # => [4, 3] li[:3] # => [1, 2, 4] # Select every second entry li[::2] # =>[1, 4] -# Revert the list +# Return a reversed copy of the list li[::-1] # => [3, 4, 2, 1] # Use any combination of these to make advanced slices # li[start:end:step] +# Make a one layer deep copy using slices +li2 = li[:] # => li2 = [1, 2, 4, 3] but (li2 is li) will result in false. + # Remove arbitrary elements from a list with "del" del li[2] # li is now [1, 2, 3] # You can add lists # Note: values for li and for other_li are not modified. -li + other_li # => [1, 2, 3, 4, 5, 6] +li + other_li # => [1, 2, 3, 4, 5, 6] # Concatenate lists with "extend()" li.extend(other_li) # Now li is [1, 2, 3, 4, 5, 6] @@ -213,7 +231,13 @@ tup = (1, 2, 3) tup[0] # => 1 tup[0] = 3 # Raises a TypeError -# You can do all those list thingies on tuples too +# Note that a tuple of length one has to have a comma after the last element but +# tuples of other lengths, even zero, do not. +type((1)) # => <class 'int'> +type((1,)) # => <class 'tuple'> +type(()) # => <class 'tuple'> + +# You can do most of the list operations on tuples too len(tup) # => 3 tup + (4, 5, 6) # => (1, 2, 3, 4, 5, 6) tup[:2] # => (1, 2) @@ -232,18 +256,24 @@ empty_dict = {} # Here is a prefilled dictionary filled_dict = {"one": 1, "two": 2, "three": 3} +# Note keys for dictionaries have to be immutable types. This is to ensure that +# the key can be converted to a constant hash value for quick look-ups. +# Immutable types include ints, floats, strings, tuples. +invalid_dict = {[1,2,3]: "123"} # => Raises a TypeError: unhashable type: 'list' +valid_dict = {(1,2,3):[1,2,3]} # Values can be of any type, however. + # Look up values with [] filled_dict["one"] # => 1 -# Get all keys as a list with "keys()". -# We need to wrap the call in list() because we are getting back an iterable. We'll talk about those later. -# Note - Dictionary key ordering is not guaranteed. -# Your results might not match this exactly. +# Get all keys as an iterable with "keys()". We need to wrap the call in list() +# to turn it into a list. We'll talk about those later. Note - Dictionary key +# ordering is not guaranteed. Your results might not match this exactly. list(filled_dict.keys()) # => ["three", "two", "one"] -# Get all values as a list with "values()". Once again we need to wrap it in list() to get it out of the iterable. -# Note - Same as above regarding key ordering. +# Get all values as an iterable with "values()". Once again we need to wrap it +# in list() to get it out of the iterable. Note - Same as above regarding key +# ordering. list(filled_dict.values()) # => [3, 2, 1] @@ -278,10 +308,14 @@ empty_set = set() # Initialize a set with a bunch of values. Yeah, it looks a bit like a dict. Sorry. some_set = {1, 1, 2, 2, 3, 4} # some_set is now {1, 2, 3, 4} +# Similar to keys of a dictionary, elements of a set have to be immutable. +invalid_set = {[1], 1} # => Raises a TypeError: unhashable type: 'list' +valid_set = {(1,), 1} + # Can set new variables to a set filled_set = some_set -# Add one more item to the set +# Add one more item to the set filled_set.add(5) # filled_set is now {1, 2, 3, 4, 5} # Do set intersection with & @@ -299,6 +333,7 @@ filled_set | other_set # => {1, 2, 3, 4, 5, 6} 10 in filled_set # => False + #################################################### ## 3. Control Flow and Iterables #################################################### @@ -328,7 +363,7 @@ for animal in ["dog", "cat", "mouse"]: print("{} is a mammal".format(animal)) """ -"range(number)" returns a list of numbers +"range(number)" returns an iterable of numbers from zero to the given number prints: 0 @@ -340,6 +375,30 @@ for i in range(4): print(i) """ +"range(lower, upper)" returns an iterable of numbers +from the lower number to the upper number +prints: + 4 + 5 + 6 + 7 +""" +for i in range(4, 8): + print(i) + +""" +"range(lower, upper, step)" returns an iterable of numbers +from the lower number to the upper number, while incrementing +by step. If step is not indicated, the default value is 1. +prints: + 4 + 6 + 8 +""" +for i in range(4, 8, 2): + print(i) +""" + While loops go until a condition is no longer met. prints: 0 @@ -362,6 +421,13 @@ except (TypeError, NameError): pass # Multiple exceptions can be handled together, if required. else: # Optional clause to the try/except block. Must follow all except blocks print("All good!") # Runs only if the code in try raises no exceptions +finally: # Execute under all circumstances + print("We can clean up resources here") + +# Instead of try/finally to cleanup resources you can use a with statement +with open("myfile.txt") as f: + for line in f: + print(line) # Python offers a fundamental abstraction called the Iterable. # An iterable is an object that can be treated as a sequence. @@ -382,15 +448,15 @@ our_iterable[1] # Raises a TypeError our_iterator = iter(our_iterable) # 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. -our_iterator.__next__() #=> "one" +# We get the next object with "next()". +next(our_iterator) #=> "one" -# It maintains state as we call __next__. -our_iterator.__next__() #=> "two" -our_iterator.__next__() #=> "three" +# It maintains state as we iterate. +next(our_iterator) #=> "two" +next(our_iterator) #=> "three" # After the iterator has returned all of its data, it gives you a StopIterator Exception -our_iterator.__next__() # Raises StopIteration +next(our_iterator) # Raises StopIteration # You can grab all the elements of an iterator by calling list() on it. list(filled_dict.keys()) #=> Returns ["one", "two", "three"] @@ -445,15 +511,24 @@ all_the_args(*args) # equivalent to foo(1, 2, 3, 4) all_the_args(**kwargs) # equivalent to foo(a=3, b=4) all_the_args(*args, **kwargs) # equivalent to foo(1, 2, 3, 4, a=3, b=4) +# Returning multiple values (with tuple assignments) +def swap(x, y): + return y, x # Return multiple values as a tuple without the parenthesis. + # (Note: parenthesis have been excluded but can be included) + +x = 1 +y = 2 +x, y = swap(x, y) # => x = 2, y = 1 +# (x, y) = swap(x,y) # Again parenthesis have been excluded but can be included. -# Function Scope +# Function Scope x = 5 def setX(num): # Local var x not the same as global variable x x = num # => 43 print (x) # => 43 - + def setGlobalX(num): global x print (x) # => 5 @@ -500,8 +575,8 @@ class Human(object): # Basic initializer, this is called when this class is instantiated. # Note that the double leading and trailing underscores denote objects # or attributes that are used by python but that live in user-controlled - # namespaces. Methods(or objects or attributes) like: __init__, __str__, - # __repr__ etc. are called magic methods (or sometimes called dunder methods) + # namespaces. Methods(or objects or attributes) like: __init__, __str__, + # __repr__ etc. are called magic methods (or sometimes called dunder methods) # You should not invent such names on your own. def __init__(self, name): # Assign the argument to the instance's name attribute @@ -588,7 +663,7 @@ def double_numbers(iterable): # double_numbers. # Note range is a generator too. Creating a list 1-900000000 would take lot of # time to be made -# We use a trailing underscore in variable names when we want to use a name that +# We use a trailing underscore in variable names when we want to use a name that # would normally collide with a python keyword range_ = range(1, 900000000) # will double all numbers until a result >=30 found @@ -630,18 +705,18 @@ print(say(say_please=True)) # Can you buy me a beer? Please! 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