# Python Lists

The intentions of this article is to host a set of example operations that can be performed around lists, a crucial data structure in Python.

##### Lists

In Python, List is an object that contains a sequence of other arbitrary objects. Lists unlike tuples are mutable objects.

##### Defining a list

Lists are defined by enclosing a sequence of objects inside square brackets, “[” and “]”. A list can contain sequence of mixed data types.

>>> # empty list ... >>> a = [] >>> >>> type(a) <class 'list'> >>> >>> # list containing same data types ... >>> >>> a = [1, 4, 9, 16] >>> >>> type(a) <class 'list'> >>> >>> # list containing different data types ... >>> a = [1, "python", 7.4, True] >>> >>> type(a) <class 'list'> >>>

##### A list can be nested

>>> # nested list ... >>> a = [[1, 4, 9], ["thetaranights.com", "blog", "python"]] >>> type(a) <class 'list'> >>> >>> >>> a = [[1, 4, 9], "thetaranights.com"] >>> >>> type(a) <class 'list'> >>>

##### Accessing elements from a list via index

List index is used to access elements of a list. List index starts from 0 and should be an integer.

>>> a = [[1, 4, 9], ["thetaranights.com", "blog", "python"]] >>> a[0] [1, 4, 9] >>> a[0][2] 9 >>> a[1][0] 'thetaranights.com' >>>

##### Negative Indexing

Python allows accessing elements from a list via negative indexes such that the last element would be accessed via list_name[-1] and second last element would be accessed via list_name[-2]

>>> a = [1, 4, 9, 16] >>> a[-1] 16 >>> a[-2] 9 >>> a[-3] 4 >>>

##### Slicing

>>> a = [1, 4, 9, 16, 25] >>> a[1:3] [4, 9] >>> a[:4] [1, 4, 9, 16] >>> a[3:] [16, 25] >>> a[:-1] [1, 4, 9, 16] >>>

##### Lists are mutable

>>> a = [1, 4, 9, 16, 25] >>> >>> a [0] = "mutable" >>> a ['mutable', 4, 9, 16, 25] >>> >>> a[:2] = [256, 1024] # changing a range of elements of a list to the sequence given in the right of assignment operator >>> a [256, 1024, 9, 16, 25] >>>

##### Adding elements to an existing list

>>> a = [1, 4, 9, 16, 25] >>> a.append(36) >>> a [1, 4, 9, 16, 25, 36] >>>

##### Extending a list with another sequence

>>> a = [1, 4, 9, 16] >>> a.extend([25, 36, 49]) >>> a [1, 4, 9, 16, 25, 36, 49] >>> a.extend((64, 91)) >>> a [1, 4, 9, 16, 25, 36, 49, 64, 91] >>>

##### Concatenation and Multiplication

>>> a = [1, 4, 9, 16] >>> a + [25, 36, 49] [1, 4, 9, 16, 25, 36, 49] >>> >>> # multiplication ... >>> a * 7 [1, 4, 9, 16, 1, 4, 9, 16, 1, 4, 9, 16, 1, 4, 9, 16, 1, 4, 9, 16, 1, 4, 9, 16, 1, 4, 9, 16] >>>

##### Add items to a list before certain index

>>> # first item to the insert() is the index and the later is the value to insert ... >>> a = [1, 4, 9, 16, 25] >>> a.insert(2, "new value") >>> a [1, 4, 'new value', 9, 16, 25] >>>

##### Various other methods on a list

method | description | usage |
---|---|---|

`append()` |
Append object to the end of list | `L.append(object)` |

`clear()` |
Remove all the items from list | `L.clear()` |

`copy()` |
A shallow copy of list | `L.copy()` |

`count()` |
Return number of occurrences of value passed as argument to the method | `L.count(value)` |

`extend()` |
Extend list by appending elements from the iterable | `L.extend(iterable)` |

`index()` |
Return first index of the value | `L.index(value, [start, [stop]])` |

`insert()` |
Insert object before index | `L.insert(index, object)` |

`pop()` |
Remove and return item at index (defaults to last) | `L.pop([index])` |

`remove()` |
Remove first occurrence of value | `L.remove(value)` |

`reverse()` |
Reverse the list in-place | `L.reverse()` |

`sort()` |
Sort in-place | `L.sort(key=None, reverse=False)` |

##### List built-ins

built-in | description |

`len()` |
Return the number of elements in a list |

`max()` |
Returns the largest element in the list |

`min()` |
Returns the smallest element in the list |

`sorted()` |
Returns the sorted version of the list. It does not sort the given list itself. |

`sum()` |
Returns the sum of all the elements of the list |

`all()` |
Returns true if all the elements of the list evaluate to true (See truthy and falsy concepts) |

`any()` |
Returns true if any element of the list evaluates to true |

`enumerate()` |
Returns enumerate object that contains the index and corresponding values of an iterable. |

`list()` |
Converts an iterable (tuple, string, set, dictionary) to a list. |

##### List Comprehension

One of the major features of python is list comprehension. It is a natural way of creating a new list where each element is the result of some operations applied to each member of another sequence of an iterable. The construct of a list comprehension is such that it consists of square brackets containing an expression followed by a for clause then by zero or more for or if clause. List comprehensions always returns a list.

>>> [x ** 2 for x in range(1, 11)] [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] >>>

In a rather real usage scenarios, the expression after the bracket ‘[‘ is a call to a method/function.

`some_list = [function_name(x) for x in some_iterable]`

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