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[python/en] Fix 80 col limit and clarify a few points.
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@ -102,6 +102,9 @@ not False # => True
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# Strings can be added too!
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"Hello " + "world!" # => "Hello world!"
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# ... or multiplied
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"Hello" * 3 # => "HelloHelloHello"
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# A string can be treated like a list of characters
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"This is a string"[0] # => 'T'
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@ -136,11 +139,12 @@ bool("") # => False
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## 2. Variables and Collections
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####################################################
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# Python has a print function, available in versions 2.7 and 3...
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print("I'm Python. Nice to meet you!")
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# and an older print statement, in all 2.x versions but removed from 3.
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print "I'm also Python!"
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# Python has a print statement, in all 2.x versions but removed from 3.
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print "I'm Python. Nice to meet you!"
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# Python also has a print function, available in versions 2.7 and 3...
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# but for 2.7 you need to add the import (uncommented):
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# from __future__ import print_function
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print("I'm also Python! ")
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# No need to declare variables before assigning to them.
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some_var = 5 # Convention is to use lower_case_with_underscores
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@ -170,6 +174,10 @@ li.append(3) # li is now [1, 2, 4, 3] again.
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# Access a list like you would any array
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li[0] # => 1
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# Assign new values to indexes that have already been initialized with =
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li[0] = 42
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li[0] # => 42
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li[0] = 1 # Note: setting it back to the original value
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# Look at the last element
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li[-1] # => 3
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@ -194,7 +202,8 @@ li[::-1] # => [3, 4, 2, 1]
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del li[2] # li is now [1, 2, 3]
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# You can add lists
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li + other_li # => [1, 2, 3, 4, 5, 6] - Note: values for li and for other_li are not modified.
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li + other_li # => [1, 2, 3, 4, 5, 6]
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# Note: values for li and for other_li are not modified.
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# Concatenate lists with "extend()"
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li.extend(other_li) # Now li is [1, 2, 3, 4, 5, 6]
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@ -255,17 +264,25 @@ filled_dict.get("four") # => None
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# The get method supports a default argument when the value is missing
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filled_dict.get("one", 4) # => 1
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filled_dict.get("four", 4) # => 4
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# note that filled_dict.get("four") is still => 4
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# (get doesn't set the value in the dictionary)
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# set the value of a key with a syntax similar to lists
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filled_dict["four"] = 4 # now, filled_dict["four"] => 4
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# "setdefault()" inserts into a dictionary only if the given key isn't present
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filled_dict.setdefault("five", 5) # filled_dict["five"] is set to 5
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filled_dict.setdefault("five", 6) # filled_dict["five"] is still 5
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# Sets store ... well sets
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# Sets store ... well sets (which are like lists but can contain no duplicates)
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empty_set = set()
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# Initialize a "set()" with a bunch of values
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some_set = set([1, 2, 2, 3, 4]) # some_set is now set([1, 2, 3, 4])
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# order is not guaranteed, even though it may sometimes look sorted
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another_set = set([4, 3, 2, 2, 1]) # another_set is now set([1, 2, 3, 4])
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# Since Python 2.7, {} can be used to declare a set
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filled_set = {1, 2, 2, 3, 4} # => {1, 2, 3, 4}
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@ -371,7 +388,7 @@ add(y=6, x=5) # Keyword arguments can arrive in any order.
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# You can define functions that take a variable number of
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# positional arguments
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# positional args, which will be interpreted as a tuple if you do not use the *
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def varargs(*args):
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return args
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@ -379,7 +396,7 @@ varargs(1, 2, 3) # => (1, 2, 3)
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# You can define functions that take a variable number of
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# keyword arguments, as well
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# keyword args, as well, which will be interpreted as a map if you do not use **
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def keyword_args(**kwargs):
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return kwargs
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@ -398,26 +415,33 @@ all_the_args(1, 2, a=3, b=4) prints:
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"""
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# When calling functions, you can do the opposite of args/kwargs!
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# Use * to expand tuples and use ** to expand kwargs.
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# Use * to expand positional args and use ** to expand keyword args.
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args = (1, 2, 3, 4)
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kwargs = {"a": 3, "b": 4}
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all_the_args(*args) # equivalent to foo(1, 2, 3, 4)
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all_the_args(**kwargs) # equivalent to foo(a=3, b=4)
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all_the_args(*args, **kwargs) # equivalent to foo(1, 2, 3, 4, a=3, b=4)
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# you can pass args and kwargs along to other functions that take args/kwargs
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# by expanding them with * and ** respectively
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def pass_all_the_args(*args, **kwargs):
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all_the_args(*args, **kwargs)
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print varargs(*args)
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print keyword_args(**kwargs)
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# Function Scope
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x = 5
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def setX(num):
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# Local var x not the same as global variable x
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x = num # => 43
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print (x) # => 43
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print x # => 43
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def setGlobalX(num):
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global x
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print (x) # => 5
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print x # => 5
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x = num # global var x is now set to 6
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print (x) # => 6
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print x # => 6
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setX(43)
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setGlobalX(6)
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@ -442,11 +466,11 @@ filter(lambda x: x > 5, [3, 4, 5, 6, 7]) # => [6, 7]
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[add_10(i) for i in [1, 2, 3]] # => [11, 12, 13]
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[x for x in [3, 4, 5, 6, 7] if x > 5] # => [6, 7]
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####################################################
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## 5. Classes
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####################################################
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# We subclass from object to get a class.
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class Human(object):
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@ -516,6 +540,9 @@ from math import *
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# You can shorten module names
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import math as m
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math.sqrt(16) == m.sqrt(16) # => True
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# you can also test that the functions are equivalent
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from math import sqrt
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math.sqrt == m.sqrt == sqrt # => True
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# Python modules are just ordinary python files. You
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# can write your own, and import them. The name of the
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@ -542,8 +569,9 @@ def double_numbers(iterable):
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# double_numbers.
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# Note xrange is a generator that does the same thing range does.
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# Creating a list 1-900000000 would take lot of time and space to be made.
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# xrange creates an xrange generator object instead of creating the entire list like range does.
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# We use a trailing underscore in variable names when we want to use a name that
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# xrange creates an xrange generator object instead of creating the entire list
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# like range does.
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# We use a trailing underscore in variable names when we want to use a name that
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# would normally collide with a python keyword
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xrange_ = xrange(1, 900000000)
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