- Python Basics
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- Python - Hello World Program
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- Python - Literals
- Python - Operators
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Assignment Operators
- Python - Logical Operators
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- Python - Membership Operators
- Python - Identity Operators
- Python - Operator Precedence
- Python - Comments
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- Python - Numbers
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- Python Control Statements
- Python - Control Flow
- Python - Decision Making
- Python - If Statement
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- Python - Nested If
- Python - Match-Case Statement
- Python - Loops
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- Python - While Loops
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- Python - Nested Loops
- Python Functions & Modules
- Python - Functions
- Python - Default Arguments
- Python - Keyword Arguments
- Python - Keyword-Only Arguments
- Python - Positional Arguments
- Python - Positional-Only Arguments
- Python - Arbitrary Arguments
- Python - Variables Scope
- Python - Function Annotations
- Python - Modules
- Python - Built in Functions
- Python Strings
- Python - Strings
- Python - Slicing Strings
- Python - Modify Strings
- Python - String Concatenation
- Python - String Formatting
- Python - Escape Characters
- Python - String Methods
- Python - String Exercises
- Python Lists
- Python - Lists
- Python - Access List Items
- Python - Change List Items
- Python - Add List Items
- Python - Remove List Items
- Python - Loop Lists
- Python - List Comprehension
- Python - Sort Lists
- Python - Copy Lists
- Python - Join Lists
- Python - List Methods
- Python - List Exercises
- Python Tuples
- Python - Tuples
- Python - Access Tuple Items
- Python - Update Tuples
- Python - Unpack Tuples
- Python - Loop Tuples
- Python - Join Tuples
- Python - Tuple Methods
- Python - Tuple Exercises
- Python Sets
- Python - Sets
- Python - Access Set Items
- Python - Add Set Items
- Python - Remove Set Items
- Python - Loop Sets
- Python - Join Sets
- Python - Copy Sets
- Python - Set Operators
- Python - Set Methods
- Python - Set Exercises
- Python Dictionaries
- Python - Dictionaries
- Python - Access Dictionary Items
- Python - Change Dictionary Items
- Python - Add Dictionary Items
- Python - Remove Dictionary Items
- Python - Dictionary View Objects
- Python - Loop Dictionaries
- Python - Copy Dictionaries
- Python - Nested Dictionaries
- Python - Dictionary Methods
- Python - Dictionary Exercises
- Python Arrays
- Python - Arrays
- Python - Access Array Items
- Python - Add Array Items
- Python - Remove Array Items
- Python - Loop Arrays
- Python - Copy Arrays
- Python - Reverse Arrays
- Python - Sort Arrays
- Python - Join Arrays
- Python - Array Methods
- Python - Array Exercises
- Python File Handling
- Python - File Handling
- Python - Write to File
- Python - Read Files
- Python - Renaming and Deleting Files
- Python - Directories
- Python - File Methods
- Python - OS File/Directory Methods
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- Object Oriented Programming
- Python - OOPs Concepts
- Python - Classes & Objects
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- Python - Method Overriding
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- Python - Dynamic Typing
- Python - Abstraction
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- Python - Inner Classes
- Python - Anonymous Class and Objects
- Python - Singleton Class
- Python - Wrapper Classes
- Python - Enums
- Python - Reflection
- Python Errors & Exceptions
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- Python - Built-in Exceptions
- Python Multithreading
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- Python - Naming Thread
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- Python - Main Thread
- Python - Thread Priority
- Python - Daemon Threads
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- Python Synchronization
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- Python Networking
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- NumPy Tutorial
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- Python Miscellenous
- Python - Date & Time
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Python - Lists
Python Lists
List is one of the built-in data types in Python. A Python list is a sequence of comma separated items, enclosed in square brackets [ ]. The items in a Python list need not be of the same data type.
Following are some examples of Python lists −
list1 = ["Rohan", "Physics", 21, 69.75] list2 = [1, 2, 3, 4, 5] list3 = ["a", "b", "c", "d"] list4 = [25.50, True, -55, 1+2j]
List is an ordered collection of items. Each item in a list has a unique position index, starting from 0.
A list in Python is similar to an array in C, C++ or Java. However, the major difference is that in C/C++/Java, the array elements must be of same type. On the other hand, Python lists may have objects of different data types.
A Python list is mutable. Any item from the list can be accessed using its index, and can be modified. One or more objects from the list can be removed or added. A list may have same item at more than one index positions.
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. For example −
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. For example −
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])
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. For example −
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.
Python List Operations
In Python, List is a sequence. Hence, we can concatenate two lists with "+" operator and concatenate multiple copies of a list with "*" operator. The membership operators "in" and "not in" work with list object.
Python Expression | Results | Description |
---|---|---|
[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] | True | Membership |
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 Expression | Results | Description |
---|---|---|
L[2] | SPAM! | Offsets start at zero |
L[-2] | Spam | Negative: count from the right |
L[1:] | ['Spam', 'SPAM!'] | Slicing fetches sections |
Python List Methods
Python includes following list methods −
Sr.No. | Methods with Description |
---|---|
1 |
Appends object obj to list. |
2 | list.clear() Clears the contents of list. |
3 | list.copy() Returns a copy of the list object. |
4 |
Returns count of how many times obj occurs in list |
5 |
Appends the contents of seq to list |
6 |
Returns the lowest index in list that obj appears |
7 |
Inserts object obj into list at offset index |
8 |
Removes and returns last object or obj from list |
9 |
Removes object obj from list |
10 |
Reverses objects of list in place |
11 |
Sorts objects of list, use compare func if given |
Built-in Functions with Lists
Following are the built-in functions we can use with lists −
Sr.No. | Function with Description |
---|---|
1 | cmp(list1, list2)
Compares elements of both lists. |
2 | len(list)
Gives the total length of the list. |
3 | max(list)
Returns item from the list with max value. |
4 | min(list)
Returns item from the list with min value. |
5 | list(seq)
Converts a tuple into list. |