Showing posts with label Python Introduction. Show all posts
Showing posts with label Python Introduction. Show all posts

Saturday, 17 May 2014

Python Dictionary

Post By: Hanan Mannan
Contact Number: Pak (+92)-321-59-95-634
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Python Dictionary

A dictionary is mutable and is another container type that can store any number of Python objects, including other container types. Dictionaries consist of pairs (called items) of keys and their corresponding values.
Python dictionaries are also known as associative arrays or hash tables. The general syntax of a dictionary is as follows:
dict = {'Alice': '2341', 'Beth': '9102', 'Cecil': '3258'}
You can create dictionary in the following way as well:
dict1 = { 'abc': 456 };
dict2 = { 'abc': 123, 98.6: 37 };
Each key is separated from its value by a colon (:), the items are separated by commas, and the whole thing is enclosed in curly braces. An empty dictionary without any items is written with just two curly braces, like this: {}.
Keys are unique within a dictionary while values may not be. The values of a dictionary can be of any type, but the keys must be of an immutable data type such as strings, numbers, or tuples.

Accessing Values in Dictionary:

To access dictionary elements, you can use the familiar square brackets along with the key to obtain its value. Following is a simple example:
#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'};

print "dict['Name']: ", dict['Name'];
print "dict['Age']: ", dict['Age'];
When the above code is executed, it produces the following result:
dict['Name']:  Zara
dict['Age']:  7
If we attempt to access a data item with a key, which is not part of the dictionary, we get an error as follows:
#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'};

print "dict['Alice']: ", dict['Alice'];
When the above code is executed, it produces the following result:
dict['Zara']:
Traceback (most recent call last):
  File "test.py", line 4, in <module>
    print "dict['Alice']: ", dict['Alice'];
KeyError: 'Alice'

Updating Dictionary:

You can update a dictionary by adding a new entry or item (i.e., a key-value pair), modifying an existing entry, or deleting an existing entry as shown below in the simple example:
#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'};

dict['Age'] = 8; # update existing entry
dict['School'] = "DPS School"; # Add new entry


print "dict['Age']: ", dict['Age'];
print "dict['School']: ", dict['School'];
When the above code is executed, it produces the following result:
dict['Age']:  8
dict['School']:  DPS School

Delete Dictionary Elements:

You can either remove individual dictionary elements or clear the entire contents of a dictionary. You can also delete entire dictionary in a single operation.
To explicitly remove an entire dictionary, just use the del statement. Following is a simple example:
#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'};

del dict['Name']; # remove entry with key 'Name'
dict.clear();     # remove all entries in dict
del dict ;        # delete entire dictionary

print "dict['Age']: ", dict['Age'];
print "dict['School']: ", dict['School'];
This will produce the following result. Note an exception raised, this is because after del dict dictionary does not exist any more:
dict['Age']:
Traceback (most recent call last):
  File "test.py", line 8, in <module>
    print "dict['Age']: ", dict['Age'];
TypeError: 'type' object is unsubscriptable
Note: del() method is discussed in subsequent section.

Properties of Dictionary Keys:

Dictionary values have no restrictions. They can be any arbitrary Python object, either standard objects or user-defined objects. However, same is not true for the keys.
There are two important points to remember about dictionary keys:
(a) More than one entry per key not allowed. Which means no duplicate key is allowed. When duplicate keys encountered during assignment, the last assignment wins. Following is a simple example:
#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Name': 'Manni'};

print "dict['Name']: ", dict['Name'];
When the above code is executed, it produces the following result:
dict['Name']:  Manni
(b) Keys must be immutable. Which means you can use strings, numbers or tuples as dictionary keys but something like ['key'] is not allowed. Following is a simple example:
#!/usr/bin/python

dict = {['Name']: 'Zara', 'Age': 7};

print "dict['Name']: ", dict['Name'];
When the above code is executed, it produces the following result:
Traceback (most recent call last):
  File "test.py", line 3, in <module>
    dict = {['Name']: 'Zara', 'Age': 7};
TypeError: list objects are unhashable

Built-in Dictionary Functions & Methods:

Python includes the following dictionary functions:
SNFunction with Description
1cmp(dict1, dict2)
Compares elements of both dict.
2len(dict)
Gives the total length of the dictionary. This would be equal to the number of items in the dictionary.
3str(dict)
Produces a printable string representation of a dictionary
4type(variable)
Returns the type of the passed variable. If passed variable is dictionary, then it would return a dictionary type.
Python includes following dictionary methods
SNMethods with Description
1dict.clear()
Removes all elements of dictionary dict
2dict.copy()
Returns a shallow copy of dictionary dict
3dict.fromkeys()
Create a new dictionary with keys from seq and values set to value.
4dict.get(key, default=None)
For key key, returns value or default if key not in dictionary
5dict.has_key(key)
Returns true if key in dictionary dictfalse otherwise
6dict.items()
Returns a list of dict's (key, value) tuple pairs
7dict.keys()
Returns list of dictionary dict's keys
8dict.setdefault(key, default=None)
Similar to get(), but will set dict[key]=default if key is not already in dict
9dict.update(dict2)
Adds dictionary dict2's key-values pairs to dict
10dict.values()
Returns list of dictionary dict's values

Posted By MIrza Abdul Hannan3:29:00 pm

Python Tuples

Post By: Hanan Mannan
Contact Number: Pak (+92)-321-59-95-634
-------------------------------------------------------

Python Tuples

A tuple is a sequence of immutable Python objects. Tuples are sequences, just like lists. The only difference is that tuples can't be changed i.e., tuples are immutable and tuples use parentheses and lists use square brackets.
Creating a tuple is as simple as putting different comma-separated values and optionally you can put these comma-separated values between parentheses also. For example:
tup1 = ('physics', 'chemistry', 1997, 2000);
tup2 = (1, 2, 3, 4, 5 );
tup3 = "a", "b", "c", "d";
The empty tuple is written as two parentheses containing nothing:
tup1 = ();
To write a tuple containing a single value you have to include a comma, even though there is only one value:
tup1 = (50,);
Like string indices, tuple indices start at 0, and tuples can be sliced, concatenated and so on.

Accessing Values in Tuples:

To access values in tuple, use the square brackets for slicing along with the index or indices to obtain value available at that index. Following is a simple example:
#!/usr/bin/python

tup1 = ('physics', 'chemistry', 1997, 2000);
tup2 = (1, 2, 3, 4, 5, 6, 7 );

print "tup1[0]: ", tup1[0]
print "tup2[1:5]: ", tup2[1:5]
When the above code is executed, it produces the following result:
tup1[0]:  physics
tup2[1:5]:  [2, 3, 4, 5]

Updating Tuples:

Tuples are immutable which means you cannot update them or change values of tuple elements. But we able to take portions of an existing tuples to create a new tuples as follows. Following is a simple example:
#!/usr/bin/python

tup1 = (12, 34.56);
tup2 = ('abc', 'xyz');

# Following action is not valid for tuples
# tup1[0] = 100;

# So let's create a new tuple as follows
tup3 = tup1 + tup2;
print tup3;
When the above code is executed, it produces the following result:
(12, 34.56, 'abc', 'xyz')

Delete Tuple Elements:

Removing individual tuple elements is not possible. There is, of course, nothing wrong with putting together another tuple with the undesired elements discarded.
To explicitly remove an entire tuple, just use the del statement. Following is a simple example:
#!/usr/bin/python

tup = ('physics', 'chemistry', 1997, 2000);

print tup;
del tup;
print "After deleting tup : "
print tup;
This will produce following result. Note an exception raised, this is because after del tup tuple does not exist any more:
('physics', 'chemistry', 1997, 2000)
After deleting tup :
Traceback (most recent call last):
  File "test.py", line 9, in <module>
    print tup;
NameError: name 'tup' is not defined

Basic Tuples Operations:

Tuples respond to the + and * operators much like strings; they mean concatenation and repetition here too, except that the result is a new tuple, not a string.
In fact, tuples respond to all of the general sequence operations we used on strings in the prior chapter :
Python ExpressionResultsDescription
len((1, 2, 3))3Length
(1, 2, 3) + (4, 5, 6)(1, 2, 3, 4, 5, 6)Concatenation
['Hi!'] * 4('Hi!', 'Hi!', 'Hi!', 'Hi!')Repetition
3 in (1, 2, 3)TrueMembership
for x in (1, 2, 3): print x,1 2 3Iteration

Indexing, Slicing, and Matrixes:

Because tuples are sequences, indexing and slicing work the same way for tuples as they do for strings. Assuming following input:
L = ('spam', 'Spam', 'SPAM!')

Python ExpressionResultsDescription
L[2]'SPAM!'Offsets start at zero
L[-2]'Spam'Negative: count from the right
L[1:]['Spam', 'SPAM!']Slicing fetches sections

No Enclosing Delimiters:

Any set of multiple objects, comma-separated, written without identifying symbols, i.e., brackets for lists, parentheses for tuples, etc., default to tuples, as indicated in these short examples:
#!/usr/bin/python

print 'abc', -4.24e93, 18+6.6j, 'xyz';
x, y = 1, 2;
print "Value of x , y : ", x,y;
When the above code is executed, it produces the following result:
abc -4.24e+93 (18+6.6j) xyz
Value of x , y : 1 2

Built-in Tuple Functions:

Python includes the following tuple functions:
SNFunction with Description
1cmp(tuple1, tuple2)
Compares elements of both tuples.
2len(tuple)
Gives the total length of the tuple.
3max(tuple)
Returns item from the tuple with max value.
4min(tuple)
Returns item from the tuple with min value.
5tuple(seq)
Converts a list into tuple.

Posted By MIrza Abdul Hannan3:26:00 pm

Python Lists

Post By: Hanan Mannan
Contact Number: Pak (+92)-321-59-95-634
-------------------------------------------------------

Python Lists

The most basic data structure in Python is the sequence. Each element of a sequence is assigned a number - its position or index. The first index is zero, the second index is one, and so forth.
Python has six built-in types of sequences, but the most common ones are lists and tuples, which we would see in this tutorial.
There are certain things you can do with all sequence types. These operations include indexing, slicing, adding, multiplying, and checking for membership. In addition, Python has built-in functions for finding the length of a sequence and for finding its largest and smallest elements.

Python Lists:

The list is a most versatile datatype available in Python which can be written as a list of comma-separated values (items) between square brackets. Good thing about a list is that items in a list need not all have the same type.
Creating a list is as simple as putting different comma-separated values between squere brackets. For example:
list1 = ['physics', 'chemistry', 1997, 2000];
list2 = [1, 2, 3, 4, 5 ];
list3 = ["a", "b", "c", "d"];
Like string indices, list indices start at 0, and lists can be sliced, concatenated and so on.

Accessing Values in Lists:

To access values in lists, use the square brackets for slicing along with the index or indices to obtain value available at that index. Following is a simple example:
#!/usr/bin/python

list1 = ['physics', 'chemistry', 1997, 2000];
list2 = [1, 2, 3, 4, 5, 6, 7 ];

print "list1[0]: ", list1[0]
print "list2[1:5]: ", list2[1:5]
When the above code is executed, it produces the following result:
list1[0]:  physics
list2[1:5]:  [2, 3, 4, 5]

Updating Lists:

You can update single or multiple elements of lists by giving the slice on the left-hand side of the assignment operator, and you can add to elements in a list with the append() method. Following is a simple example:
#!/usr/bin/python

list = ['physics', 'chemistry', 1997, 2000];

print "Value available at index 2 : "
print list[2];
list[2] = 2001;
print "New value available at index 2 : "
print list[2];
Note: append() method is discussed in subsequent section.
When the above code is executed, it produces the following result:
Value available at index 2 :
1997
New value available at index 2 :
2001

Delete List Elements:

To remove a list element, you can use either the del statement if you know exactly which element(s) you are deleting or the remove() method if you do not know. Following is a simple example:
#!/usr/bin/python

list1 = ['physics', 'chemistry', 1997, 2000];

print list1;
del list1[2];
print "After deleting value at index 2 : "
print list1;
When the above code is executed, it produces following result:
['physics', 'chemistry', 1997, 2000]
After deleting value at index 2 :
['physics', 'chemistry', 2000]
Note: remove() method is discussed in subsequent section.

Basic List Operations:

Lists respond to the + and * operators much like strings; they mean concatenation and repetition here too, except that the result is a new list, not a string.
In fact, lists respond to all of the general sequence operations we used on strings in the prior chapter.
Python ExpressionResultsDescription
len([1, 2, 3])3Length
[1, 2, 3] + [4, 5, 6][1, 2, 3, 4, 5, 6]Concatenation
['Hi!'] * 4['Hi!', 'Hi!', 'Hi!', 'Hi!']Repetition
3 in [1, 2, 3]TrueMembership
for x in [1, 2, 3]: print x,1 2 3Iteration

Indexing, Slicing, and Matrixes:

Because lists are sequences, indexing and slicing work the same way for lists as they do for strings.
Assuming following input:
L = ['spam', 'Spam', 'SPAM!']

Python ExpressionResultsDescription
L[2]'SPAM!'Offsets start at zero
L[-2]'Spam'Negative: count from the right
L[1:]['Spam', 'SPAM!']Slicing fetches sections

Built-in List Functions & Methods:

Python includes the following list functions:
SNFunction with Description
1cmp(list1, list2)
Compares elements of both lists.
2len(list)
Gives the total length of the list.
3max(list)
Returns item from the list with max value.
4min(list)
Returns item from the list with min value.
5list(seq)
Converts a tuple into list.
Python includes following list methods
SNMethods with Description
1list.append(obj)
Appends object obj to list
2list.count(obj)
Returns count of how many times obj occurs in list
3list.extend(seq)
Appends the contents of seq to list
4list.index(obj)
Returns the lowest index in list that obj appears
5list.insert(index, obj)
Inserts object obj into list at offset index
6list.pop(obj=list[-1])
Removes and returns last object or obj from list
7list.remove(obj)
Removes object obj from list
8list.reverse()
Reverses objects of list in place
9list.sort([func])
Sorts objects of list, use compare func if given

Posted By MIrza Abdul Hannan3:22:00 pm