PYTHON HANDWRITTEN NOTES(Chapter 4: python collections):
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| Python(lists , tuples, sets, dictionary) handwritten notes |
Python collections provide powerful data structures to store and manipulate data efficiently, offering versatile options like lists, dictionaries, sets, and tuples, making Python a top choice for diverse data handling tasks.
One Shot/Quick Revision Of Python Collections:
In Python Collection is a Variable to store multiple values in a single variable. Python has FOUR types of collections:
1. LISTS (MORE)
2. TUPLES (MORE)
3. SETS (MORE)
4. DICTIONARY (MORE)
List:
- Lists are used to store multiple values of multiple datatypes in a single Variable.
- Python lists are ordered, mutable collections that can hold a variety of data types.
- To store the value in Lists we use Square Brackets([]).
BUILT-IN FUNCTIONS IN LISTS
| Method | Description |
|---|---|
| append() | Adds an element at the end of the list. |
| clear() | Removes all the elements from the list. |
| copy() | Returns a copy of the list. |
| count() | Returns the number of elements with the specified value. |
| extend() | Add the elements of a list (or any iterable), to the end of the current list. |
| index() | Returns the index of the first element with the specified value. |
| insert() | Adds an element at the specified position. |
| pop() | Removes the element at the specified position. |
| remove() | Removes the item with the specified value. |
| reverse() | Reverses the order of the list. |
| sort() | Sorts the list. |
Tuples:
- Tuples are Similar To lists in many ways but have some different characteristics.
- Tuple is a collection that is Ordered and unchangeable.
- Tuples are written with Round Brackets.
BUILT-IN FUNCTION IN TUPLES
| Method | Description |
|---|---|
| All() | Returns true if all element is true or if the tuple is empty. |
| Any() | Return true if any element of the tuple is true. if the tuple is empty, return false |
| Len() | Return the lent of the tuple. |
| Enumerate() | Return Enumerate object of tuple. |
| Max() | Return the maximum element of the elements given tuple. |
| Min() | Return the minimum element of the given tuple. |
| Sorted() | Input Element in tuple will sorted |
Sets:
- Sets are like tuples and set in many ways.
- A Set is a collection of values that are unordered, unchangeable, and also unindexed.
- Sets are written with curly brackets.
BUILT-IN FUNCTION IN SETS
| Method | Description |
|---|---|
| add() | Adds an element to the set. |
| clear() | Removes all the elements from the set. |
| copy() | Return a copy of the set. |
| difference() | Returns a set containing the difference between two or more sets. |
| difference_update() | Removes the item in this set that is also. |
| discard() | Remove the specified item. |
| pop() | Removes the specified element. |
Dictionary:
- Dictionarys are used to store data as key: value pairs.
- A dictionary is a collection that is ordered, changeable, and does not allow duplicates.
- Dictionaries are written with curly brackets and have keys and values.
BUILT-IN FUNCTION IN DICTIONARY
| Method | Description |
|---|---|
| clear() | Removes all the elements from the dictionary. |
| copy() | Returns a copy of the dictionary. |
| fromkeys() | Return a dictionary with the specified keys and values. |
| get() | Returns the value of a specified key. |
| keys() | Return a list containing the dictionary key. |
| update() | Updates the directory with the specified key-value pairs. |
| Values () | Returns a list of all the values in the dictionary. |
 Handwritten Notes pdf){kind=link}
3 Comments
This is a helpful revision resource for understanding Python collections, particularly the differences between lists, tuples, sets, and dictionaries. The article explains how these structures store multiple values and highlights important properties such as ordering, mutability, indexing, and key-value relationships, making it useful for learners strengthening their Python programming fundamentals.
ReplyDeleteThe coverage of collection methods such as append(), extend(), insert(), pop(), and sort() gives students practical concepts to explore while working with Python data structures. For learners who want to move from individual language features toward practical applications, Python Projects For Final Year can provide ideas for applying these concepts in project development.
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ReplyDeleteOverall, the article brings together the major Python collection types in one place, from mutable lists and dictionaries to immutable tuples and set-based operations. Practicing these structures with small examples is a good way to understand how each one should be selected for different programming requirements, while Python Training in India can support continued hands-on learning.
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