Tuples are immutable ordered sequences of elements that are accessed using indexes. They are written with round brackets. Tuples can contain elements of different data types and duplicate values are allowed. Tuples use less memory than lists and their elements cannot be changed once created, though they can be deleted and new tuples can be created. Tuples elements are iterated faster than lists and are well suited for tasks that only require accessing elements.
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.
Arrays In Python | Python Array Operations | EdurekaEdureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Arrays in Python' will help you establish a strong hold on all the fundamentals in the Python programming language. Below are the topics covered in this PPT:
What is an array?
Is python list same as an array?
How to create arrays in python?
Accessing array elements
Basic array operations
- Finding the length of an array
- Adding Elements
- Removing elements
- Array concatenation
- Slicing
- Looping
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
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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
Array
Introduction
One-dimensional array
Multidimensional array
Advantage of Array
Write a C program using arrays that produces the multiplication of two matrices.
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.
YouTube Link: https://youtu.be/mHezNgNBnuA
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Date and Time in Python' will train you to use the datetime and time modules to fetch, set and modify date and time in python.
Below are the topics covered in this PPT:
The time module
Built-in functions
Examples
The datetime module
Built-in functions
Examples
Follow us to never miss an update in the future.
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This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
METHODS DESCRIPTION
copy() They copy() method returns a shallow copy of the dictionary.
clear() The clear() method removes all items from the dictionary.
pop() Removes and returns an element from a dictionary having the given key.
popitem() Removes the arbitrary key-value pair from the dictionary and returns it as tuple.
get() It is a conventional method to access a value for a key.
dictionary_name.values() returns a list of all the values available in a given dictionary.
str() Produces a printable string representation of a dictionary.
update() Adds dictionary dict2’s key-values pairs to dict
setdefault() Set dict[key]=default if key is not already in dict
keys() Returns list of dictionary dict’s keys
items() Returns a list of dict’s (key, value) tuple pairs
has_key() Returns true if key in dictionary dict, false otherwise
fromkeys() Create a new dictionary with keys from seq and values set to value.
type() Returns the type of the passed variable.
cmp() Compares elements of both dict.
Arrays In Python | Python Array Operations | EdurekaEdureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Arrays in Python' will help you establish a strong hold on all the fundamentals in the Python programming language. Below are the topics covered in this PPT:
What is an array?
Is python list same as an array?
How to create arrays in python?
Accessing array elements
Basic array operations
- Finding the length of an array
- Adding Elements
- Removing elements
- Array concatenation
- Slicing
- Looping
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
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
Array
Introduction
One-dimensional array
Multidimensional array
Advantage of Array
Write a C program using arrays that produces the multiplication of two matrices.
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.
YouTube Link: https://youtu.be/mHezNgNBnuA
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Date and Time in Python' will train you to use the datetime and time modules to fetch, set and modify date and time in python.
Below are the topics covered in this PPT:
The time module
Built-in functions
Examples
The datetime module
Built-in functions
Examples
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
METHODS DESCRIPTION
copy() They copy() method returns a shallow copy of the dictionary.
clear() The clear() method removes all items from the dictionary.
pop() Removes and returns an element from a dictionary having the given key.
popitem() Removes the arbitrary key-value pair from the dictionary and returns it as tuple.
get() It is a conventional method to access a value for a key.
dictionary_name.values() returns a list of all the values available in a given dictionary.
str() Produces a printable string representation of a dictionary.
update() Adds dictionary dict2’s key-values pairs to dict
setdefault() Set dict[key]=default if key is not already in dict
keys() Returns list of dictionary dict’s keys
items() Returns a list of dict’s (key, value) tuple pairs
has_key() Returns true if key in dictionary dict, false otherwise
fromkeys() Create a new dictionary with keys from seq and values set to value.
type() Returns the type of the passed variable.
cmp() Compares elements of both dict.
Explains how to create a List in Python. Explains various operations that can be performed on Lists. Discusses various List class methods that can be used to manipulate the Lists. Explains what is a Tuple how to create it and various function that can be used on Tuples. Explains difference between List and Tuple
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
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Venez le découvrir lors de cette session ignite
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Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
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Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
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Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
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Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
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2. Tuples:
Like list, Tuples are used to store multiple items in a single variable.
A tuple is a collection which is ordered and unchangeable.
Tuples are written with round brackets.
Example:
thistuple = ("apple", "banana", "cherry")
print(thistuple)
Output:
("apple", "banana", "cherry")
Tuple items are indexed, the first item has index [0], the second item has index [1] etc.
3. Sl.
No.
Key List Tuple
1 Type List is mutable. Tuple is immutable.
2 Iteration
List iteration is slower and is time
consuming.
Tuple iteration is faster.
3
Appropriate
for
List is useful for insertion and
deletion operations.
Tuple is useful for read only
operations like accessing elements.
4
Memory
Consumption
List consumes more memory. Tuples consumes less memory.
5 Methods
List provides many in-built
methods.
Tuples have less in-built methods.
6 Error prone List operations are more error prone. Tuples operations are safe.
Following are the important differences between List and Tuple.
4. Similarities:
Although there are many differences between list and tuple, there are some
similarities too, as follows:
• The two data structures are both sequence data types that store collections of
items.
• Items of any data type can be stored in them.
• Items can be accessed by their index.
Difference in syntax
As mentioned in the introduction, the syntax for list and tuple are different.
For example:
list_num = [10, 20, 30, 40]
tup_num = (10, 20, 30, 40)
5. Allow Duplicates: Since tuples are indexed, they can have items with the same value:
Example:
thistuple = ("apple", "banana", "cherry", "apple", "cherry")
print(thistuple)
Output:
('apple', 'banana', 'cherry', 'apple', 'cherry')
6. Tuple Length: To determine how many items a tuple has, use the len() function
Example:
thistuple = ("apple", "banana", "cherry")
print(len(thistuple))
Output:
3
7. Create Tuple With One Item: To create a tuple with only one item, you have to add a comma after the item,
otherwise Python will not recognize it as a tuple.
Example:
thistuple = ("apple",)
print(type(thistuple))
#NOT a tuple
thistuple = ("apple")
print(type(thistuple))
Output:
<class 'tuple'>
<class 'str'>
8. Tuple Items - Data Types: Tuple items can be of any data type
Example:
tuple1 = ("apple", "banana", "cherry")
tuple2 = (1, 5, 7, 9, 3)
tuple3 = (True, False, False)
print(tuple1)
print(tuple2)
print(tuple3)
Output:
('apple', 'banana', 'cherry')
(1, 5, 7, 9, 3)
(True, False, False)
9. Tuple Items - Data Types (C0ntinue): A tuple can contain different data types
Example:
tuple1 = ("abc", 34, True, 40, "male")
print(tuple1)
Output:
('abc', 34, True, 40, 'male')
10. type(): From Python's perspective, tuples are defined as objects with the data type 'tuple'
<class 'tuple'>
Example:
mytuple = ("apple", "banana", "cherry")
print(type(mytuple))
Output:
<class 'tuple'>
11. The tuple() Constructor: It is also possible to use the tuple() constructor to make a tuple.
Example:
thistuple = tuple(("apple", "banana", "cherry")) # note the double round-brackets
print(thistuple)
Output:
('apple', 'banana', 'cherry')
12. Access Tuple Items: You can access tuple items by referring to the index number, inside square brackets
Example:
thistuple = ("apple", "banana", "cherry")
print(thistuple[1])
Output:
banana
--------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------
Negative Indexing: Negative indexing means start from the end. -1 refers to the last item, -2 refers to the
second last item etc.
Example:
thistuple = ("apple", "banana", "cherry")
print(thistuple[-1])
Output:
cherry
13. Range of Indexes: You can specify a range of indexes by specifying where to start and where to end the range.
When specifying a range, the return value will be a new tuple with the specified items.
Example:
thistuple = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")
print(thistuple[2:5])
Output:
('cherry', 'orange', 'kiwi')
Note: The search will start at index 2 (included) and end at index 5 (not included).
------------------------------------------------------------------------------------------------------------------------------------------
Example:
thistuple = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")
print(thistuple[:4])
Output:
('apple', 'banana', 'cherry', 'orange')
14. Guess the output:
Example:
thistuple = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")
print(thistuple[2:])
Output:
?
--------------------------------------------------------------------------------------
Range of Negative Indexes: Specify negative indexes if you want to start the search from the end of the tuple
Example:
thistuple = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")
print(thistuple[-4:-1])
Output:
('orange', 'kiwi', 'melon')
15. Change Tuple Values: Once a tuple is created, you cannot change its values - unchangeable or immutable.
But there is a workaround. You can convert the tuple into a list, change the list, and convert the list
back into a tuple.
Example:
x = ("apple", "banana", "cherry")
y = list(x)
y[1] = "kiwi"
x = tuple(y)
print(x)
Output:
("apple", "kiwi", "cherry")
16. Add Items:
Since tuples are immutable, they do not have a build-in append() method, but there are other ways to add
items to a tuple.
1. Convert into a list: Just like the workaround for changing a tuple, you can convert it into a list, add your
item(s), and convert it back into a tuple.
Example:
thistuple = ("apple", "banana", "cherry")
y = list(thistuple)
y.append("orange")
thistuple = tuple(y)Output:
("apple", "kiwi", "cherry")
Output:
('apple', 'banana', 'cherry', 'orange')
17. Add Items(continue):
2. Add tuple to a tuple: You are allowed to add tuples to tuples, so if you want to add one item, (or many),
create a new tuple with the item(s), and add it to the existing tuple
Example:
thistuple = ("apple", "banana", "cherry")
y = ("orange",)
thistuple += y
print(thistuple)
Output:
('apple', 'banana', 'cherry', 'orange')
18. Remove Items: Tuples are unchangeable, so you cannot remove items from it, but you can use the same
workaround as we used for changing and adding tuple items
Example:
thistuple = ("apple", "banana", "cherry")
y = list(thistuple)
y.remove("apple")
thistuple = tuple(y)
Output:
('banana', 'cherry')
-------------------------------------------------------------------------------------
Example:
thistuple = ("apple", "banana", "cherry")
del thistuple
print(thistuple) #this will raise an error because the tuple no longer exists
Output:
NameError: name 'thistuple' is not defined
19. Unpacking a Tuple: When we create a tuple, we normally assign values to it. This is called "packing" a tuple
Example:
fruits = ("apple", "banana", "cherry")
Output:
('apple', 'banana', 'cherry')
-------------------------------------------------------------------------------------
But, in Python, we are also allowed to extract the values back into variables. This is called "unpacking":
Example:
fruits = ("apple", "banana", "cherry")
(green, yellow, red) = fruits
print(green)
print(yellow)
print(red)
Output:
apple
banana
cherry
20. Unpacking a Tuple: When we create a tuple, we normally assign values to it. This is called "packing" a tuple
Example:
fruits = ("apple", "banana", "cherry")
Output:
('apple', 'banana', 'cherry')
-------------------------------------------------------------------------------------
But, in Python, we are also allowed to extract the values back into variables. This is called "unpacking":
Example:
fruits = ("apple", "banana", "cherry")
(green, yellow, red) = fruits
print(green)
print(yellow)
print(red)
Output:
apple
banana
cherry
Note: The number of variables must match the number of values in the tuple, if not, you must use an * asterisk to
collect the remaining values as a list.
21. Using Asterisk * : If the number of variables is less than the number of values, you can add an * to the
variable name and the values will be assigned to the variable as a list
Example:
fruits = ("apple", "banana", "cherry", "strawberry", "raspberry")
(green, yellow, *red) = fruits
print(green)
print(yellow)
print(red)
Output:
apple
banana
['cherry', 'strawberry', 'raspberry']
23. Loop Through a Tuple: You can loop through the tuple items by using a for loop
Example:
thistuple = ("apple", "banana", "cherry")
for x in thistuple:
print(x)
Output:
apple
banana
cherry
Note: We can also use while and do-while loop
24. Join Two Tuples: To join two or more tuples you can use the + operator
Example:
tuple1 = ("a", "b" , "c")
tuple2 = (1, 2, 3)
tuple3 = tuple1 + tuple2
print(tuple3)
Output:
('a', 'b', 'c', 1, 2, 3)
-------------------------------------------------------------------------------------
Multiply Tuples: If you want to multiply the content of a tuple a given number of times, you can use the *
operator
Example:
fruits = ("apple", "banana", "cherry")
mytuple = fruits * 2
print(mytuple)
Output:
('apple', 'banana', 'cherry', 'apple', 'banana', 'cherry')