source : https://stackoverflow.com/questions/626759/whats-the-difference-between-lists-and-tuples
someTuple = (1,2)
someList = [1,2]
a = tuple(range(1000))
b = list(range(1000))
a.__sizeof__() # 8024
b.__sizeof__() # 9088
Due to the smaller size of a tuple operation, it becomes a bit faster, but not that much to mention about until you have a huge number of elements.
b = [1,2]
b[0] = 3 # [3, 2]
a = (1,2)
a[0] = 3 # Error
That also means that you can't delete an element or sort a tuple. However, you could add new element to both list and tuple with the only difference that you will change id of the tuple by adding element a = (1,2) b = [1,2]
id(a) # 140230916716520
id(b) # 748527696
a += (3,) # (1, 2, 3)
b += [3] # [1, 2, 3]
id(a) # 140230916878160
id(b) # 748527696
As a list is mutable, it can't be used as a key in a dictionary, whereas a tuple can be used.
a = (1,2)
b = [1,2]
c = {a: 1} # OK
c = {b: 1} # Error
source: https://stackoverflow.com/questions/2921847/what-does-the-star-operator-mean
The single star * unpacks the sequence/collection into positional arguments, so you can do this:
def sum(a, b):
return a + b
values = (1, 2)
s = sum(*values)
This will unpack the tuple so that it actually executes as:
s = sum(1, 2)
The double star ** does the same, only using a dictionary and thus named arguments:
values = { 'a': 1, 'b': 2 }
s = sum(**values)
You can also combine:
def sum(a, b, c, d):
return a + b + c + d
values1 = (1, 2)
values2 = { 'c': 10, 'd': 15 }
s = sum(*values1, **values2)
will execute as:
s = sum(1, 2, c=10, d=15)
Also see section 4.7.4 - Unpacking Argument Lists of the Python documentation.
Additionally you can define functions to take *x and **y arguments, this allows a function to accept any number of positional and/or named arguments that aren't specifically named in the declaration. Example:
def sum(*values):
s = 0
for v in values:
s = s + v
return s
s = sum(1, 2, 3, 4, 5)
or with **:
def get_a(**values):
return values['a']
s = get_a(a=1, b=2) # returns 1
this can allow you to specify a large number of optional parameters without having to declare them. And again, you can combine:
def sum(*values, **options):
s = 0
for i in values:
s = s + i
if "neg" in options:
if options["neg"]:
s = -s
return s
s = sum(1, 2, 3, 4, 5) # returns 15
s = sum(1, 2, 3, 4, 5, neg=True) # returns -15
s = sum(1, 2, 3, 4, 5, neg=False) # returns 15
source: https://www.tutorialspoint.com/python/python_lists.htm
cmp(list1, list2)
Compares elements of both lists.
len(list)
Gives the total length of the list.
max(list)
Returns item from the list with max value.
min(list)
Returns item from the list with min value.
list(seq)
Converts a tuple into list.
list.append(obj)
Appends object obj to list
list.count(obj)
Returns count of how many times obj occurs in list
list.extend(seq)
Appends the contents of seq to list
list.index(obj)
Returns the lowest index in list that obj appears
list.insert(index, obj)
Inserts object obj into list at offset index
list.pop(obj=list[-1])
Removes and returns last object or obj from list
list.remove(obj)
Removes object obj from list
list.reverse()
Reverses objects of list in place
list.sort([func])
Sorts objects of list, use compare func if given
a[start:end] # items start through end-1
a[start:] # items start through the rest of the array
a[:end] # items from the beginning through end-1
a[:] # a copy of the whole array
There is also the step value, which can be used with any of the above:
a[start:end:step] # start through not past end, by step
The key point to remember is that the :end value represents the first value that is not in the selected slice. So, the difference beween end and start is the number of elements selected (if step is 1, the default).
The other feature is that start or end may be a negative number, which means it counts from the end of the array instead of the beginning. So:
a[-1] # last item in the array
a[-2:] # last two items in the array
a[:-2] # everything except the last two items
Similarly, step may be a negative number:
a[::-1] # all items in the array, reversed
a[1::-1] # the first two items, reversed
a[:-3:-1] # the last two items, reversed
a[-3::-1] # everything except the last two items, reversed
Python is kind to the programmer if there are fewer items than you ask for. For example, if you ask for a[:-2] and a only contains one element, you get an empty list instead of an error. Sometimes you would prefer the error, so you have to be aware that this may happen.
A list comprehension consists of the following parts:
An Input Sequence.
- A Variable representing members of the input sequence.
- An Optional Predicate expression.
- An Output Expression producing elements of the output list from members of the Input Sequence that satisfy the predicate.
Say we need to obtain a list of all the integers in a sequence and then square them:
a_list = [1, '4', 9, 'a', 0, 4]
squared_ints = [ e**2 for e in a_list if type(e) == types.IntType ]
print squared_ints [1, 81, 0, 16]