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@ -4,8 +4,6 @@ author: Malcolm Fell
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author_url: http://emarref.net/
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---
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# PHP
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This document describes PHP 5+.
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## [Basic Syntax](http://www.php.net/manual/en/language.basic-syntax.php)
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@ -74,7 +72,7 @@ $sgl_quotes
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END; // Nowdoc syntax is available in PHP 5.3.0
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// Manipulation
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$concatinated = $sgl_quotes + $dbl_quotes;
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$concatenated = $sgl_quotes + $dbl_quotes;
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```
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### Compound
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@ -471,4 +469,4 @@ Visit the [official PHP documentation](http://www.php.net/manual/) for reference
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If you're interested in up-to-date best practices, visit [PHP The Right Way](http://www.phptherightway.com/).
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If you're coming from a language with good package management, check out [Composer](http://getcomposer.org/).
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If you're coming from a language with good package management, check out [Composer](http://getcomposer.org/).
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@ -1,20 +1,25 @@
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---
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language: Python
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language: python
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author: Louie Dinh
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author_url: http://ldinh.ca
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---
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Python was created by Guido Van Rossum in the early 90's. It is now one of the most popular languages in existence. I fell in love with Python for it's syntactic clarity. It's basically executable pseudocode.
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Python was created by Guido Van Rossum in the early 90's. It is now one of the most popular
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languages in existence. I fell in love with Python for it's syntactic clarity. It's basically
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executable pseudocode.
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```Python
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Note: This article applies to Python 2.7 specifically, but should be applicable
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to Python 2.x. Look for another tour of Python 3 soon!
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```python
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# Single line comments start with a hash.
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""" Multiline comments can we written
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using three "'s
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"""
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----------------------------------------------------
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-- 1. Primitive Datatypes and Operators
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----------------------------------------------------
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####################################################
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## 1. Primitive Datatypes and Operators
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####################################################
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# You have numbers
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3 #=> 3
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@ -25,7 +30,8 @@ Python was created by Guido Van Rossum in the early 90's. It is now one of the m
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10 * 2 #=> 20
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35 / 5 #=> 7
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# Division is a bit tricky. It is integer division and floors the results automatically.
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# Division is a bit tricky. It is integer division and floors the results
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# automatically.
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11 / 4 #=> 2
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# Enforce precedence with parentheses
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@ -58,16 +64,16 @@ not False #=> True
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None #=> None
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----------------------------------------------------
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-- 2. Variables and Collections
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----------------------------------------------------
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####################################################
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## 2. Variables and Collections
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####################################################
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# Printing is pretty easy
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print "I'm Python. Nice to meet you!"
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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 for variables
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some_var = 5 # Convention is to use lower_case_with_underscores
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some_var #=> 5
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# Accessing a previously unassigned variable is an exception
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@ -97,7 +103,7 @@ del li[2] # li is now [1, 2, 3]
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li + other_li #=> [1, 2, 3, 4, 5, 6] - Note: li and other_li is left alone
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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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li.extend(other_li) # Now li is [1, 2, 3, 4, 5, 6]
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# Check for existence in a list with in
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1 in li #=> True
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@ -120,10 +126,13 @@ filled_dict = {"one": 1, "two": 2, "three": 3}
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filled_dict["one"] #=> 1
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# Get all keys as a list
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filled_dict.keys() #=> ["three", "two", "one"] Note - Dictionary key ordering is not guaranteed. Your results might not match this exactly.
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filled_dict.keys() #=> ["three", "two", "one"]
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# Note - Dictionary key ordering is not guaranteed.
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# Your results might not match this exactly.
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# Get all values as a list
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filled_dict.values() #=> [3, 2, 1] Note - Same as above regarding key ordering.
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filled_dict.values() #=> [3, 2, 1]
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# Note - Same as above regarding key ordering.
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# Check for existence of keys in a dictionary with in
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"one" in filled_dict #=> True
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@ -150,9 +159,9 @@ filled_set | other_set #=> set([1, 2, 3, 4, 5, 6])
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10 in filled_set #=> False
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----------------------------------------------------
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-- 3. Control Flow
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----------------------------------------------------
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####################################################
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## 3. Control Flow
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####################################################
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# Let's just make a variable
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some_var = 5
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@ -175,7 +184,8 @@ prints:
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mouse is a mammal
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"""
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for animal in ["dog", "cat", "mouse"]:
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print "%s is a mammal" % animal # You can use % to interpolate formatted strings
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# You can use % to interpolate formatted strings
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print "%s is a mammal" % animal
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"""
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While loops go until a condition is no longer met.
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@ -188,7 +198,7 @@ prints:
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x = 0
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while x < 4:
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print x
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x += 1 # Short hand for x = x + 1
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x += 1 # Shorthand for x = x + 1
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# Handle exceptions with a try/except block
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try:
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@ -197,9 +207,9 @@ except IndexError as e:
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pass # Pass is just a no-op. Usually you would do recovery here.
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----------------------------------------------------
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-- 4. Functions
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----------------------------------------------------
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####################################################
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## 4. Functions
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####################################################
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# Use def to create new functions
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def add(x, y):
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@ -209,9 +219,9 @@ def add(x, y):
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# Calling functions with parameters
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add(5, 6) #=> 11 and prints out "x is 5 and y is 6"
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# Another way to call functions is with keyword arguments
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add(y=6, x=5) # Equivalent to above. Keyword arguments can arrive in any order.
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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 positional arguments
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# You can define functions that take a variable number of arguments
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def varargs(*args):
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return args
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@ -232,7 +242,6 @@ def create_adder(x):
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return x + y
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return adder
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# Let's create a new function that always adds 10 to the argument
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add_10 = create_adder(10):
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add_10(3) #=> 13
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@ -247,15 +256,11 @@ 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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####################################################
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## 5. Classes
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####################################################
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# We can define classes with the class statement
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class Human(): # By convention CamelCase is used for classes.
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pass
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# We subclass from object to get a "new-style class". All your code should do this.
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# We subclass from object to get a class.
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class Human(object):
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# A class attribute. It is shared by all instances of this class
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@ -263,18 +268,20 @@ class Human(object):
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# Basic initializer
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def __init__(self, name):
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self.name = name # We are assigning the argument to the instance's name attribute
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# Assign the argument to the instance's name attribute
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self.name = name
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# A method. All methods take self as the first argument, including the initializer
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# A method. All methods take self as the first argument
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def say(self, msg):
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return "%s: %s" % (self.name, msg)
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# A class method is shared among all instances
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# They are called with the calling class as the first argument
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@classmethod
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def get_species(cls):
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return cls.species
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# Static methods are called without a parameter reference to the class or instance
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# Static methods are called without a class or instance reference
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@staticmethod
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def grunt():
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return "*grunt*"
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@ -283,6 +290,7 @@ class Human(object):
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# Instantiate a class
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h = Human(name="Harry")
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print h.say("hi") # prints out "Harry: hi"
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i = Human("Ian")
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print i.say("hello") #prints out "Ian: hello"
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