The document provides information on various list methods in Python like list creation, accessing items from lists, slicing lists, and common list methods like append(), count(), extend(), index(), insert(), pop(), copy(), remove(), reverse(), and sort(). It includes the syntax and examples to demonstrate how each method works on lists. Various programs are given to showcase inserting, removing, sorting, copying and reversing elements in lists using the different list methods.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
2D array in C++ language ,define the concept of c++ Two-Dimensional array .with example .and also Accessing Array Components concept.and Processing Two-Dimensional Arrays.
The Key Difference between a List and a Tuple. The main difference between lists and a tuples is the fact that lists are mutable whereas tuples are immutable. A mutable data type means that a python object of this type can be modified. Let's create a list and assign it to a variable.
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
A class is a code template for creating objects. Objects have member variables and have behaviour associated with them. In python a class is created by the keyword class.
An object is created using the constructor of the class. This object will then be called the instance of the class.
Python is a widely used high-level programming language for general-purpose programming. Python is a simple, powerful and easy to learn the programming language. It is commonly used for Web and Internet development, Scientific and Numeric computing, Business application and Desktop GUI development etc. The basic data structures in python are lists, dictionaries, tuples, strings and sets
2D array in C++ language ,define the concept of c++ Two-Dimensional array .with example .and also Accessing Array Components concept.and Processing Two-Dimensional Arrays.
The Key Difference between a List and a Tuple. The main difference between lists and a tuples is the fact that lists are mutable whereas tuples are immutable. A mutable data type means that a python object of this type can be modified. Let's create a list and assign it to a variable.
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
A class is a code template for creating objects. Objects have member variables and have behaviour associated with them. In python a class is created by the keyword class.
An object is created using the constructor of the class. This object will then be called the instance of the class.
Python is a widely used high-level programming language for general-purpose programming. Python is a simple, powerful and easy to learn the programming language. It is commonly used for Web and Internet development, Scientific and Numeric computing, Business application and Desktop GUI development etc. The basic data structures in python are lists, dictionaries, tuples, strings and sets
• List is a collection, which is ordered and changeable. Allows duplicate members.
• Tuple is a collection, which is ordered and unchangeable. Allows duplicate members.
• Set is a collection, which is unordered and unindexed. No duplicate members.
• Dictionary is a collection, which is unordered, changeable and indexed. No duplicate members.
Textbook Solutions refer https://pythonxiisolutions.blogspot.com/
Practical's Solutions refer https://prippython12.blogspot.com/
Contiguous memory locations are occupied to store data in memory, this structure of storing data is Array.
Introduction to Lists
Elementary Data Representation Different data structures, Operations on Data structures.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
2. LIST CREATION
A list is created by placing all the items
(elements) inside a square bracket [ ],
separated by commas.
It can have any number of items and they
may be of different types (integer, float,
string etc.).
Example:
list = [1, 2, 3] # list with same data-types
list = [1, "Hello", 3.4] # list with mixed data-types 2
3. ACCESS ITEMS FROM A LIST
It can be access in several ways
Use the index operator [] to access an item
in a list. Index starts from 0. So, a list having
5 elements will have index from 0 to 4.
Example:
list = ['p','r','o','b','e']
print(list[2]) #Positive Indexing
print(list[-2]) #Negative Indexing
Output
O
b
3
4. SLICE LISTS
Accessing a range of items in a list by using
the slicing operator [ ] using (colon :).
Slicing can be best visualized by considering
the index to be between the elements.
Example:
list = ['p','r','o','b','e']
print(list[0:4]) #Positive
print(list[-2:-1]) # Negative
Output
['p', 'r', 'o', 'b']
['b']
4
5. LIST METHODS
append() - Add an element to the end of the list.
count() - Returns the count of number of items passed as
an argument.
extend() - Add all elements of a list to the another list.
index() - Returns the index of the first matched item.
insert() - Insert an item at the defined index.
pop() - Removes and returns an element at the given
index.
copy() - Returns a shallow copy of the list
remove() - Removes an item from the list.
reverse() - Reverse the order of items in the list.
sort() - Sort items in a list in ascending order.
5
6. APPEND() METHODS
The append() method adds a single item
to the existing list.
The append() method only modifies the
original list. It doesn't return any value.
The append() method takes a single
item and adds it to the end of the list.
The item can be numbers, strings,
another list, dictionary etc.
Syntax
list.append(item)
6
7. Example 1: Adding Element to a List
list = ['hi', 'hello']
print('old list: ', list)
list.append('welcome!')
print('Updated list: ', list)
Example 2: Adding List to a List
list = ['hi', 'hello']
print('old list: ', list)
list1=['welcome‘]
list.append(list1)
print('Updated list: ', list)
APPEND() METHODS - PROGRAMS
Output
old list: ['hi', 'hello']
Updated list: ['hi', 'hello‘,'welcome!']
Output
old list: ['hi', 'hello']
Updated list: ['hi', 'hello', ['welcome']]
7
8. COUNT() METHODS
Count() method counts how many times an
element has occurred in a list and returns it.
The count() method takes a single argument:
element - element whose count is to be
found.
The count() method returns the number of
occurrences of an element in a list.
Syntax
list.count(element)
8
9. Example: Count the occurrence of an element in the list
list = ['h','i','h','o','w','y','o','u','!','!']
print('The count of i is:',list.count('i'))
print('The count of o is:',list.count('o'))
Example 2: Count the occurrence of tuple and list inside the list
list = ['a', ('h', 'i'), ('a', 'b'), [8, 4]]
count = list.count(('a', 'b'))
print("The count of ('a', 'b') is:", count)
count = list.count([3, 4])
print("The count of [3, 4] is:", count)
COUNT() METHODS - PROGRAMS
Output
The count of i is: 1
The count of o is: 2
Output
The count of ('a', 'b') is: 1
The count of [3, 4] is: 0
9
10. The extend() extends the list by adding all items of a list
to the end.
Extend() method takes a single argument (a list) and
adds it to the end.
This method also add elements of other native
data_types ,like tuple and set to the list,
Syntax
EXTEND() METHODS
list1.extend(list2)
Note : The elements
of list2 are added to
the end of list1.
list.extend(list(tuple_type)) Note : The elements
of tuple are added to
the end of list1.
10
11. EXTEND() METHODS - PROGRAMS
Example 1: Using extend() Method
language = ['C', 'C++', 'Python']
language1 = ['JAVA', 'COBOL']
language.extend(language1)
print('Language List: ', language)
Output
Language List: ['C', 'C++', 'Python', 'JAVA', 'COBOL']
11
12. Example 2: Add Elements of Tuple and Set to List
language = ['C', 'C++', 'Python']
language_tuple = ['JAVA', 'COBOL']
language_set = {'.Net', 'C##'}
language.extend(language_tuple)
print('New Language List: ', language)
language.extend(language_set)
print('Newest Language List: ', language)
EXTEND() METHODS - PROGRAMS
Output
New Language List: ['C', 'C++', 'Python', 'JAVA', 'COBOL'] Newest
Language List: ['C', 'C++', 'Python', 'JAVA', 'COBOL',
'.Net', 'C##']
12
13. INDEX( ) METHODS
Index() method search and find given element in
the list and returns its position.
However, if the same element is present more than
once, index() method returns its smallest/first
position.
Index in Python starts from 0 not 1.
The index() method returns the index of the
element in the list.
The index method takes a single argument:
element - element that is to be searched.
Syntax
list.index(element)
13
14. INDEX( ) METHODS - PROGRAMS
Example 1: Find position of element present in the
list and not present in the list
list = ['h','i','h','o','w','y','o','u','!','!']
print('The count of i is:',list.index('i'))
print('The count of o is:',list.index('o'))
print('The count of o is:',list.index('z'))
Output
The count of i is: 1
The count of o is: 3
ValueError: 'z' is not in list
14
15. Example 2: Find index of tuple and list inside a list
random = ['a', ('a', 'd'),('a','b'), [3, 4]]
index = random.index(('a', 'b'))
print("The index of ('a', 'b'):", index)
index = random.index([3, 4])
print("The index of [3, 4]:", index)
INDEX( ) METHODS - PROGRAMS
Output
The index of ('a', 'b'): 2
The index of [3, 4]: 3
15
16. The insert() method inserts the element to the list at
the given index.
The insert() function takes two parameters:
index - position where element needs to be
inserted
element - this is the element to be inserted in
the list
The insert() method only inserts the element to the list.
It doesn't return any value.
Syntax
INSERT( ) METHODS
list.insert(index, element) 16
17. Example 1: Inserting Element to List
vowels=['a','i','o','u']
print("old list =",vowels)
vowels.insert(1,'e')
print("new list =",vowels)
INSERT( ) METHODS - PROGRAMS
Output
old list = ['a', 'i', 'o', 'u']
new list = ['a', 'e', 'i', 'o', 'u']
17
18. Example 2: Inserting a Tuple (as an Element) to the List
list = [{1, 2}, [5, 6, 7]]
print('old List: ', list)
number_tuple = (3, 4)
list.insert(1, number_tuple)
print('Updated List: ', list)
INSERT( ) METHODS - PROGRAMS
Output
old List: [{1, 2}, [5, 6, 7]]
Updated List: [{1, 2}, (3, 4), [5, 6, 7]]
18
19. The pop() method takes a single argument (index) and
removes the element present at that index from the
list.
If the index passed to the pop() method is not in the
range, it throws IndexError: pop index out of
range exception.
The parameter passed to the pop() method is optional.
If no parameter is passed, the default index -1 is
passed as an argument.
Also, the pop() method removes and returns the
element at the given index and updates the list.
Syntax
POP( ) METHODS
list.pop(index) 19
20. Example 1: Pop Element at the Given Index from the List
list = ['Python', 'Java', 'C++', 'French', 'C‘]
return_value = language.pop(3)
print('Return Value: ', return_value)
print('Updated List: ', language)
POP( ) METHODS - PROGRAMS
Output
old list = ['Python', 'Java', 'C++', 'French', 'C']
Return Value: French
Updated List: ['Python', 'Java', 'C++', 'C']
20
21. Example 2: pop() when index is not passed
language = ['Python', 'Java', 'C++‘, 'C']
print('Return Value: ', language.pop())
print('Updated List: ', language)
print('Return Value: ', language.pop(-1))
print('Updated List: ', language)
POP( ) METHODS - PROGRAMS
Output
Return Value: C
Updated List: ['Python', 'Java', 'C++']
Return Value: C++ Updated List:
['Python', 'Java']
21
22. The copy() method returns a shallow copy of the list.
A list can be copied with = operator.
old_list = [1, 2, 3]
new_list = old_list
The problem with copying the list in this way is that if
you modify the new_list, the old_list is also modified.
Syntax
COPY( ) / ALIASING METHODS
new_list = old_list 22
23. Example 1: Copying a List
old_list = [1, 2, 3]
new_list = old_list
new_list.append('a')
print('New List:', new_list )
print('Old List:', old_list )
COPY( ) / ALIASING METHODS - PROGRAMS
Output
New List: [1, 2, 3, 'a']
Old List: [1, 2, 3, 'a']
23
24. We need the original list unchanged when the new list
is modified, you can use copy() method.
This is called shallow copy.
The copy() method doesn't take any parameters.
The copy() function returns a list. It doesn't modify the
original list.
Syntax
SHALLOW COPY( ) / CLONING METHODS
new_list = list.copy()
24
25. Example 2: Shallow Copy of a List Using Slicing
list = [1,2,4]
new_list = list[:]
new_list.append(5)
print('Old List: ', list)
print('New List: ', new_list)
SHALLOW COPY( ) / CLONING METHODS - PROGRAMS
Output
Old List: [1, 2, 4]
New List: [1, 2, 4, 5]
25
26. The remove() method searches for the given element
in the list and removes the first matching element.
The remove() method takes a single element as an
argument and removes it from the list.
If the element(argument) passed to the remove()
method doesn't exist, valueError exception is thrown.
Syntax
list.remove(element)
REMOVE( ) METHODS
26
27. Example 1 :Remove Element From The List
list = [5,78,12,26,50]
print('Original list: ', list)
list.remove(12)
print('Updated list elements: ', list)
REMOVE( ) METHODS - PROGRAMS
Output
Original list: [5, 78, 12, 26,
50]Updated list: [5, 78, 26, 50]
27
28. The reverse() method reverses the elements of a
given list.
The reverse() function doesn't return any value. It
only reverses the elements and updates the list.
Syntax
REVERSE( ) METHODS
list.reverse()
28
29. REVERSE( ) METHODS - PROGRAM
Example 1 :Reverse a List Using Slicing Operator
list = [1,5,8,6,11,55]
print('Original List:', list)
reversed_list = list[::-1]
print(‘Reversed List:', reversed_list)
Example 2: Reverse a List
list = [1,5,8,6,11,55]
print('Original List:', list)
list.reverse()
print('Reversed List:', list)
Output
Original List: [1, 5, 8, 6, 11, 55]
Reversed List: [55, 11, 6, 8, 5, 1]
Output
Original List: [1, 5, 8, 6, 11, 55]
Reversed List: [55, 11, 6, 8, 5, 1]
29
30. The sort() method sorts the elements of a given list.
The sort() method sorts the elements of a given list
in a specific order - Ascending or Descending.
Syntax
SORT( ) METHODS
list.sort()
30
31. REVERSE( ) METHODS - PROGRAM
Example 1 :Sort a given List in ascending order
list = [1,15,88,6,51,55]
print('Original List:', list)
list.sort()
print('sorted List:', list)
Example 2 : Sort the list in Descending order
list = [1,15,88,6,51,55]
print('Original List:', list)
list.sort(reverse=True)
print('sorted List:', list)
Output
Original List: [1, 15, 88, 6, 51, 55]
sorted List: [1, 6, 15, 51, 55, 88]
Output
Original List: [1, 15, 88, 6, 51, 55]
sorted List: [88, 55, 51, 15, 6, 1] 31
32. PYTHON DICTIONARY
Python dictionary is an unordered collection of items.
While other compound data types have only value as
an element, a dictionary has a key: value pair.
Creating a dictionary
Creating a dictionary is as simple as placing items
inside curly braces {} separated by comma.
An item has a key and the corresponding value
expressed as a pair, key: value.
While values can be of any data type and can repeat,
keys must be of immutable type (string, number or tuple
with immutable elements) and must be unique.
32
33. ACCESS ELEMENTS FROM A DICTIONARY
While indexing is used with other container types to access
values, dictionary uses keys. Key can be used either inside
square brackets or with the get() method.
d = {'name':'Ram', 'age': 26}
print("name is :",d['name'])
d['age']=33
d['Initial']='S‘
print("Updated dict :",d)
del d['Initial']
print("Updated dict :",d)
Output
name is : Ram
Updated dict : {'name': 'Ram', 'age': 33, 'Initial': 'S'}
Updated dict : {'name': 'Ram', 'age': 33}
33