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diff --git a/python.html.markdown b/python.html.markdown index 210c9619..13cb25e3 100644 --- a/python.html.markdown +++ b/python.html.markdown @@ -3,24 +3,32 @@ language: python contributors: - ["Louie Dinh", "http://ldinh.ca"] - ["Amin Bandali", "http://aminbandali.com"] + - ["Andre Polykanine", "https://github.com/Oire"] + - ["evuez", "http://github.com/evuez"] filename: learnpython.py --- -Python was created by Guido Van Rossum in the early 90's. It is now one of the most popular +Python was created by Guido Van Rossum in the early 90s. It is now one of the most popular languages in existence. I fell in love with Python for its syntactic clarity. It's basically executable pseudocode. Feedback would be highly appreciated! You can reach me at [@louiedinh](http://twitter.com/louiedinh) or louiedinh [at] [google's email service] Note: This article applies to Python 2.7 specifically, but should be applicable -to Python 2.x. Look for another tour of Python 3 soon! +to Python 2.x. Python 2.7 is reaching end of life and will stop being maintained in 2020, +it is though recommended to start learning Python with Python 3. +For Python 3.x, take a look at the [Python 3 tutorial](http://learnxinyminutes.com/docs/python3/). + +It is also possible to write Python code which is compatible with Python 2.7 and 3.x at the same time, +using Python [`__future__` imports](https://docs.python.org/2/library/__future__.html). `__future__` imports +allow you to write Python 3 code that will run on Python 2, so check out the Python 3 tutorial. ```python # Single line comments start with a number symbol. """ Multiline strings can be written - using three "'s, and are often used + using three "s, and are often used as comments """ @@ -45,12 +53,38 @@ to Python 2.x. Look for another tour of Python 3 soon! 2.0 # This is a float 11.0 / 4.0 # => 2.75 ahhh...much better +# 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 +-5.0 // 3.0 # => -2.0 + +# Note that we can also import division module(Section 6 Modules) +# to carry out normal division with just one '/'. +from __future__ import division +11/4 # => 2.75 ...normal division +11//4 # => 2 ...floored division + +# Modulo operation +7 % 3 # => 1 + +# Exponentiation (x to the yth power) +2**4 # => 16 + # Enforce precedence with parentheses (1 + 3) * 2 # => 8 -# Boolean values are primitives -True -False +# Boolean Operators +# Note "and" and "or" are case-sensitive +True and False #=> False +False or True #=> True + +# Note using Bool operators with ints +0 and 2 #=> 0 +-5 or 0 #=> -5 +0 == False #=> True +2 == True #=> False +1 == True #=> True # negate with not not True # => False @@ -80,15 +114,25 @@ not False # => True # Strings can be added too! "Hello " + "world!" # => "Hello world!" +# Strings can be added without using '+' +"Hello " "world!" # => "Hello world!" + +# ... or multiplied +"Hello" * 3 # => "HelloHelloHello" # A string can be treated like a list of characters "This is a string"[0] # => 'T' -# % can be used to format strings, like this: -"%s can be %s" % ("strings", "interpolated") +#String formatting with % +#Even though the % string operator will be deprecated on Python 3.1 and removed +#later at some time, it may still be good to know how it works. +x = 'apple' +y = 'lemon' +z = "The items in the basket are %s and %s" % (x,y) # A newer way to format strings is the format method. # This method is the preferred way +"{} is a {}".format("This", "placeholder") "{0} can be {1}".format("strings", "formatted") # You can use keywords if you don't want to count. "{name} wants to eat {food}".format(name="Bob", food="lasagna") @@ -105,8 +149,16 @@ None is None # => True # very useful when dealing with primitive values, but is # very useful when dealing with objects. -# None, 0, and empty strings/lists all evaluate to False. -# All other values are True +# Any object can be used in a Boolean context. +# The following values are considered falsey: +# - None +# - zero of any numeric type (e.g., 0, 0L, 0.0, 0j) +# - empty sequences (e.g., '', (), []) +# - empty containers (e.g., {}, set()) +# - instances of user-defined classes meeting certain conditions +# see: https://docs.python.org/2/reference/datamodel.html#object.__nonzero__ +# +# All other values are truthy (using the bool() function on them returns True). bool(0) # => False bool("") # => False @@ -115,11 +167,14 @@ bool("") # => False ## 2. Variables and Collections #################################################### -# Python has a print function, available in versions 2.7 and 3... -print("I'm Python. Nice to meet you!") -# and an older print statement, in all 2.x versions but removed from 3. -print "I'm also Python!" +# Python has a print statement +print "I'm Python. Nice to meet you!" # => I'm Python. Nice to meet you! +# Simple way to get input data from console +input_string_var = raw_input("Enter some data: ") # Returns the data as a string +input_var = input("Enter some data: ") # Evaluates the data as python code +# Warning: Caution is recommended for input() method usage +# Note: In python 3, input() is deprecated and raw_input() is renamed to input() # No need to declare variables before assigning to them. some_var = 5 # Convention is to use lower_case_with_underscores @@ -130,6 +185,7 @@ some_var # => 5 some_other_var # Raises a name error # if can be used as an expression +# Equivalent of C's '?:' ternary operator "yahoo!" if 3 > 2 else 2 # => "yahoo!" # Lists store sequences @@ -149,6 +205,10 @@ li.append(3) # li is now [1, 2, 4, 3] again. # Access a list like you would any array li[0] # => 1 +# Assign new values to indexes that have already been initialized with = +li[0] = 42 +li[0] # => 42 +li[0] = 1 # Note: setting it back to the original value # Look at the last element li[-1] # => 3 @@ -164,7 +224,7 @@ li[2:] # => [4, 3] li[:3] # => [1, 2, 4] # Select every second entry li[::2] # =>[1, 4] -# Revert the list +# Reverse a copy of the list li[::-1] # => [3, 4, 2, 1] # Use any combination of these to make advanced slices # li[start:end:step] @@ -173,11 +233,23 @@ li[::-1] # => [3, 4, 2, 1] del li[2] # li is now [1, 2, 3] # You can add lists -li + other_li # => [1, 2, 3, 4, 5, 6] - Note: values for li and for other_li are not modified. +li + other_li # => [1, 2, 3, 4, 5, 6] +# Note: values for li and for other_li are not modified. # Concatenate lists with "extend()" li.extend(other_li) # Now li is [1, 2, 3, 4, 5, 6] +# Remove first occurrence of a value +li.remove(2) # li is now [1, 3, 4, 5, 6] +li.remove(2) # Raises a ValueError as 2 is not in the list + +# Insert an element at a specific index +li.insert(1, 2) # li is now [1, 2, 3, 4, 5, 6] again + +# Get the index of the first item found +li.index(2) # => 1 +li.index(7) # Raises a ValueError as 7 is not in the list + # Check for existence in a list with "in" 1 in li # => True @@ -198,8 +270,9 @@ tup[:2] # => (1, 2) # You can unpack tuples (or lists) into variables a, b, c = (1, 2, 3) # a is now 1, b is now 2 and c is now 3 +d, e, f = 4, 5, 6 # you can leave out the parentheses # Tuples are created by default if you leave out the parentheses -d, e, f = 4, 5, 6 +g = 4, 5, 6 # => (4, 5, 6) # Now look how easy it is to swap two values e, d = d, e # d is now 5 and e is now 4 @@ -234,17 +307,25 @@ filled_dict.get("four") # => None # The get method supports a default argument when the value is missing filled_dict.get("one", 4) # => 1 filled_dict.get("four", 4) # => 4 +# note that filled_dict.get("four") is still => None +# (get doesn't set the value in the dictionary) + +# set the value of a key with a syntax similar to lists +filled_dict["four"] = 4 # now, filled_dict["four"] => 4 # "setdefault()" inserts into a dictionary only if the given key isn't present filled_dict.setdefault("five", 5) # filled_dict["five"] is set to 5 filled_dict.setdefault("five", 6) # filled_dict["five"] is still 5 -# Sets store ... well sets +# Sets store ... well sets (which are like lists but can contain no duplicates) empty_set = set() # Initialize a "set()" with a bunch of values some_set = set([1, 2, 2, 3, 4]) # some_set is now set([1, 2, 3, 4]) +# order is not guaranteed, even though it may sometimes look sorted +another_set = set([4, 3, 2, 2, 1]) # another_set is now set([1, 2, 3, 4]) + # Since Python 2.7, {} can be used to declare a set filled_set = {1, 2, 2, 3, 4} # => {1, 2, 3, 4} @@ -261,6 +342,15 @@ filled_set | other_set # => {1, 2, 3, 4, 5, 6} # Do set difference with - {1, 2, 3, 4} - {2, 3, 5} # => {1, 4} +# Do set symmetric difference with ^ +{1, 2, 3, 4} ^ {2, 3, 5} # => {1, 4, 5} + +# Check if set on the left is a superset of set on the right +{1, 2} >= {1, 2, 3} # => False + +# Check if set on the left is a subset of set on the right +{1, 2} <= {1, 2, 3} # => True + # Check for existence in a set with in 2 in filled_set # => True 10 in filled_set # => False @@ -276,11 +366,11 @@ some_var = 5 # Here is an if statement. Indentation is significant in python! # prints "some_var is smaller than 10" if some_var > 10: - print("some_var is totally bigger than 10.") + print "some_var is totally bigger than 10." elif some_var < 10: # This elif clause is optional. - print("some_var is smaller than 10.") + print "some_var is smaller than 10." else: # This is optional too. - print("some_var is indeed 10.") + print "some_var is indeed 10." """ @@ -291,8 +381,8 @@ prints: mouse is a mammal """ for animal in ["dog", "cat", "mouse"]: - # You can use % to interpolate formatted strings - print("%s is a mammal" % animal) + # You can use {0} to interpolate formatted strings. (See above.) + print "{0} is a mammal".format(animal) """ "range(number)" returns a list of numbers @@ -304,7 +394,19 @@ prints: 3 """ for i in range(4): - print(i) + print i + +""" +"range(lower, upper)" returns a list of numbers +from the lower number to the upper number +prints: + 4 + 5 + 6 + 7 +""" +for i in range(4, 8): + print i """ While loops go until a condition is no longer met. @@ -316,7 +418,7 @@ prints: """ x = 0 while x < 4: - print(x) + print x x += 1 # Shorthand for x = x + 1 # Handle exceptions with a try/except block @@ -327,7 +429,17 @@ try: raise IndexError("This is an index error") except IndexError as e: pass # Pass is just a no-op. Usually you would do recovery here. - +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 #################################################### ## 4. Functions @@ -335,7 +447,7 @@ except IndexError as e: # Use "def" to create new functions def add(x, y): - print("x is %s and y is %s" % (x, y)) + print "x is {0} and y is {1}".format(x, y) return x + y # Return values with a return statement # Calling functions with parameters @@ -346,7 +458,7 @@ add(y=6, x=5) # Keyword arguments can arrive in any order. # You can define functions that take a variable number of -# positional arguments +# positional args, which will be interpreted as a tuple by using * def varargs(*args): return args @@ -354,7 +466,7 @@ varargs(1, 2, 3) # => (1, 2, 3) # You can define functions that take a variable number of -# keyword arguments, as well +# keyword args, as well, which will be interpreted as a dict by using ** def keyword_args(**kwargs): return kwargs @@ -364,8 +476,8 @@ keyword_args(big="foot", loch="ness") # => {"big": "foot", "loch": "ness"} # You can do both at once, if you like def all_the_args(*args, **kwargs): - print(args) - print(kwargs) + print args + print kwargs """ all_the_args(1, 2, a=3, b=4) prints: (1, 2) @@ -373,13 +485,36 @@ all_the_args(1, 2, a=3, b=4) prints: """ # When calling functions, you can do the opposite of args/kwargs! -# Use * to expand tuples and use ** to expand kwargs. +# Use * to expand positional args and use ** to expand keyword args. args = (1, 2, 3, 4) kwargs = {"a": 3, "b": 4} 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) +# you can pass args and kwargs along to other functions that take args/kwargs +# by expanding them with * and ** respectively +def pass_all_the_args(*args, **kwargs): + all_the_args(*args, **kwargs) + print varargs(*args) + print keyword_args(**kwargs) + +# Function Scope +x = 5 + +def set_x(num): + # Local var x not the same as global variable x + x = num # => 43 + print x # => 43 + +def set_global_x(num): + global x + print x # => 5 + x = num # global var x is now set to 6 + print x # => 6 + +set_x(43) +set_global_x(6) # Python has first class functions def create_adder(x): @@ -392,34 +527,44 @@ add_10(3) # => 13 # There are also anonymous functions (lambda x: x > 2)(3) # => True +(lambda x, y: x ** 2 + y ** 2)(2, 1) # => 5 # There are built-in higher order functions map(add_10, [1, 2, 3]) # => [11, 12, 13] +map(max, [1, 2, 3], [4, 2, 1]) # => [4, 2, 3] + filter(lambda x: x > 5, [3, 4, 5, 6, 7]) # => [6, 7] # We can use list comprehensions for nice maps and filters [add_10(i) for i in [1, 2, 3]] # => [11, 12, 13] [x for x in [3, 4, 5, 6, 7] if x > 5] # => [6, 7] + #################################################### ## 5. Classes #################################################### - # We subclass from object to get a class. class Human(object): # A class attribute. It is shared by all instances of this class species = "H. sapiens" - # Basic initializer + # 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. You should not invent such names on your own. def __init__(self, name): # Assign the argument to the instance's name attribute self.name = name + # Initialize property + self.age = 0 + + # An instance method. All methods take "self" as the first argument def say(self, msg): - return "%s: %s" % (self.name, msg) + return "{0}: {1}".format(self.name, msg) # A class method is shared among all instances # They are called with the calling class as the first argument @@ -432,13 +577,30 @@ class Human(object): def grunt(): return "*grunt*" + # A property is just like a getter. + # It turns the method age() into an read-only attribute + # of the same name. + @property + def age(self): + return self._age + + # This allows the property to be set + @age.setter + def age(self, age): + self._age = age + + # This allows the property to be deleted + @age.deleter + def age(self): + del self._age + # Instantiate a class i = Human(name="Ian") -print(i.say("hi")) # prints out "Ian: hi" +print i.say("hi") # prints out "Ian: hi" j = Human("Joel") -print(j.say("hello")) # prints out "Joel: hello" +print j.say("hello") # prints out "Joel: hello" # Call our class method i.get_species() # => "H. sapiens" @@ -451,6 +613,16 @@ j.get_species() # => "H. neanderthalensis" # Call the static method Human.grunt() # => "*grunt*" +# Update the property +i.age = 42 + +# Get the property +i.age # => 42 + +# Delete the property +del i.age +i.age # => raises an AttributeError + #################################################### ## 6. Modules @@ -458,12 +630,12 @@ Human.grunt() # => "*grunt*" # You can import modules import math -print(math.sqrt(16)) # => 4 +print math.sqrt(16) # => 4 # You can get specific functions from a module from math import ceil, floor -print(ceil(3.7)) # => 4.0 -print(floor(3.7)) # => 3.0 +print ceil(3.7) # => 4.0 +print floor(3.7) # => 3.0 # You can import all functions from a module. # Warning: this is not recommended @@ -472,6 +644,9 @@ from math import * # You can shorten module names import math as m math.sqrt(16) == m.sqrt(16) # => True +# you can also test that the functions are equivalent +from math import sqrt +math.sqrt == m.sqrt == sqrt # => True # Python modules are just ordinary python files. You # can write your own, and import them. The name of the @@ -496,12 +671,17 @@ def double_numbers(iterable): # Instead of generating and returning all values at once it creates one in each # iteration. This means values bigger than 15 wont be processed in # double_numbers. -# Note range is a generator too. Creating a list 1-900000000 would take lot of -# time to be made -_range = range(1, 900000000) +# Note xrange is a generator that does the same thing range does. +# Creating a list 1-900000000 would take lot of time and space to be made. +# xrange creates an xrange generator object instead of creating the entire list +# like range does. +# We use a trailing underscore in variable names when we want to use a name that +# would normally collide with a python keyword +xrange_ = xrange(1, 900000000) + # will double all numbers until a result >=30 found -for i in double_numbers(_range): - print(i) +for i in double_numbers(xrange_): + print i if i >= 30: break @@ -513,10 +693,10 @@ for i in double_numbers(_range): from functools import wraps -def beg(_say): - @wraps(_say) +def beg(target_function): + @wraps(target_function) def wrapper(*args, **kwargs): - msg, say_please = _say(*args, **kwargs) + msg, say_please = target_function(*args, **kwargs) if say_please: return "{} {}".format(msg, "Please! I am poor :(") return msg @@ -530,24 +710,26 @@ def say(say_please=False): return msg, say_please -print(say()) # Can you buy me a beer? -print(say(say_please=True)) # Can you buy me a beer? Please! I am poor :( +print say() # Can you buy me a beer? +print say(say_please=True) # Can you buy me a beer? Please! I am poor :( ``` ## Ready For More? ### Free Online +* [Automate the Boring Stuff with Python](https://automatetheboringstuff.com) * [Learn Python The Hard Way](http://learnpythonthehardway.org/book/) * [Dive Into Python](http://www.diveintopython.net/) -* [The Official Docs](http://docs.python.org/2.6/) +* [The Official Docs](http://docs.python.org/2/) * [Hitchhiker's Guide to Python](http://docs.python-guide.org/en/latest/) * [Python Module of the Week](http://pymotw.com/2/) * [A Crash Course in Python for Scientists](http://nbviewer.ipython.org/5920182) +* [First Steps With Python](https://realpython.com/learn/python-first-steps/) +* [Fullstack Python](https://www.fullstackpython.com/) ### Dead Tree * [Programming Python](http://www.amazon.com/gp/product/0596158106/ref=as_li_qf_sp_asin_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=0596158106&linkCode=as2&tag=homebits04-20) * [Dive Into Python](http://www.amazon.com/gp/product/1441413022/ref=as_li_tf_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=1441413022&linkCode=as2&tag=homebits04-20) * [Python Essential Reference](http://www.amazon.com/gp/product/0672329786/ref=as_li_tf_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=0672329786&linkCode=as2&tag=homebits04-20) - |