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.
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
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
Python provides numerous built-in functions that are readily available to us at the Python prompt. Some of the functions like input() and print() are widely used for standard input and output operations respectively.
In this PPT you will learn how to use looping in python.
For more presentation in any subject please contact us on
raginijain0208@gmail.com.
You get a new presentation every Sunday at 10 AM.
Learn more about Python by clicking on given below link
Python Introduction- https://www.slideshare.net/RaginiJain21/final-presentation-on-python
Basic concept of Python -https://www.slideshare.net/RaginiJain21/python-second-ppt
Python Datatypes - https://www.slideshare.net/RaginiJain21/data-types-in-python-248466302
Python Library & Module - https://www.slideshare.net/RaginiJain21/python-libraries-and-modules
Basic Python Programs- https://www.slideshare.net/RaginiJain21/basic-python-programs
Python Media Libarary - https://www.slideshare.net/RaginiJain21/python-media-library
This presentation provides the information on python including the topics Python features, applications, variables and operators in python, control statements, numbers, strings, print formatting, list and list comprehension, dictionaries, tuples, files, sets, boolean, mehtods and functions, lambda expressions and a sample project using Python.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
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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Array
Introduction
One-dimensional array
Multidimensional array
Advantage of Array
Write a C program using arrays that produces the multiplication of two matrices.
Python programming language provides the following types of loops to handle looping requirements:
1. While
2. Do While
3. For loop
Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition-checking time.
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.
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.
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.
1. Variables - Learn to conveniently store data in your Python programs!
2. Numbers - Learn how numbers work behind the scenes in your Python programs!
3. Strings - Master the written word and automate messages using text!
4. Logic and Data Structures - Teach your Python programs to think and decide!
5. Loops - Save time and effort, by making computers do the hard work for you!
6. Functions - Automate Tasks by Creating your very own Python Functions that you can use over and over!
7. OOP - Add Python to Your Resumé By Mastering Object-Oriented Programming, an industry-standard programming technique!
Python provides numerous built-in functions that are readily available to us at the Python prompt. Some of the functions like input() and print() are widely used for standard input and output operations respectively.
In this PPT you will learn how to use looping in python.
For more presentation in any subject please contact us on
raginijain0208@gmail.com.
You get a new presentation every Sunday at 10 AM.
Learn more about Python by clicking on given below link
Python Introduction- https://www.slideshare.net/RaginiJain21/final-presentation-on-python
Basic concept of Python -https://www.slideshare.net/RaginiJain21/python-second-ppt
Python Datatypes - https://www.slideshare.net/RaginiJain21/data-types-in-python-248466302
Python Library & Module - https://www.slideshare.net/RaginiJain21/python-libraries-and-modules
Basic Python Programs- https://www.slideshare.net/RaginiJain21/basic-python-programs
Python Media Libarary - https://www.slideshare.net/RaginiJain21/python-media-library
This presentation provides the information on python including the topics Python features, applications, variables and operators in python, control statements, numbers, strings, print formatting, list and list comprehension, dictionaries, tuples, files, sets, boolean, mehtods and functions, lambda expressions and a sample project using Python.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
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
Array
Introduction
One-dimensional array
Multidimensional array
Advantage of Array
Write a C program using arrays that produces the multiplication of two matrices.
Python programming language provides the following types of loops to handle looping requirements:
1. While
2. Do While
3. For loop
Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition-checking time.
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.
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.
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.
1. Variables - Learn to conveniently store data in your Python programs!
2. Numbers - Learn how numbers work behind the scenes in your Python programs!
3. Strings - Master the written word and automate messages using text!
4. Logic and Data Structures - Teach your Python programs to think and decide!
5. Loops - Save time and effort, by making computers do the hard work for you!
6. Functions - Automate Tasks by Creating your very own Python Functions that you can use over and over!
7. OOP - Add Python to Your Resumé By Mastering Object-Oriented Programming, an industry-standard programming technique!
INFORMATIVE ESSAYThe purpose of the Informative Essay assignme.docxcarliotwaycave
INFORMATIVE ESSAY
The purpose of the Informative Essay assignment is to choose a job or task that you know how to do and then write a minimum of 2 full pages, maximum of 3 full pages, Informative Essay teaching the reader how to do that job or task. You will follow the organization techniques explained in Unit 6.
Here are the details:
1. Read the Lecture Notes in Unit 6. You may also find the information in Chapter 10.5 in our text on Process Analysis helpful. The lecture notes will really be the most important to read in writing this assignment. However, here is a link to that chapter that you may look at in addition to the lecture notes:
https://open.lib.umn.edu/writingforsuccess/chapter/10-5-process-analysis/ (Links to an external site.)
2. Choose your topic, that is, the job or task you want to teach. As the notes explain, this should be a job or task that you already know how to do, and it should be something you can do well. At this point, think about your audience (reader). Will your reader need any knowledge or experience to do this job or task, or will you write these instructions for a general reader where no experience is required to perform the job?
3. Plan your outline to organize this essay. Unit 6 notes offer advice on this organization process. Be sure to include an introductory paragraph that has the four main points presented in the lecture notes.
4. Write the essay. It will need to be at least 2 FULL pages long, maximum of 3 full pages long. You will use the MLA formatting that you used in previous essays from Units 3, 4, and 5.
5. Be sure to include a title for your essay.
6. After writing the essay, be sure to take time to read it several times for revision and editing. It would be helpful to have at least one other person proofread it as well before submitting the assignment.
Quiz2
# comments start with #
# to quit q()
# two steps to install any library
#install.packages("rattle")
#library(rattle)
setwd("D:/AJITH/CUMBERLANDS/Ph.D/SEMESTER 3/Data Science & Big Data Analy (ITS-836-51)/RStudio/Week2")
getwd()
x <- 3 # x is a vector of length 1
print(x)
v1 <- c(2,4,6,8,10)
print(v1)
print(v1[3])
v <- c(1:10) #creates a vector of 10 elements numbered 1 through 10. More complicated data
print(v)
print(v[6])
# Import test data
test<-read.csv("CVEs.csv")
test1<-read.csv("CVEs.csv", sep=",")
test2<-read.table("CVEs.csv", sep=",")
write.csv(test2, file="out.csv")
# Write CSV in R
write.table(test1, file = "out1.csv",row.names=TRUE, na="",col.names=TRUE, sep=",")
head(test)
tail(test)
summary(test)
head <- head(test)
tail <- tail(test)
cor(test$X, test$index)
sd(test$index)
var(test$index)
plot(test$index)
hist(test$index)
str(test$index)
quit()
Quiz3
setwd("C:/Users/ialsmadi/Desktop/University_of_Cumberlands/Lectures/Week2/RScripts")
getwd()
# Import test data
data<-read.csv("yearly_sales.csv")
#A 5-number summary is a set of 5 descriptive statistics for summarizing a continuous univariate data set.
#It consists o ...
Visual programming (VP) refers to a method of programming that uses a graphical interface to create and modify code, rather than typing out code manually. Unlike traditional text-based programming, visual programming uses visual elements to represent code. Some graphical elements you can use when creating programs with VP include:
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
3. Comments
Single Line Comments
● Starts with # symbol
● Comments are non-executable statements
1 #To find sum of two numbers
2 a = 10 #Store 10 into variable 'a'
4. Comments
Multi Line Comments
● Version-1
● Version-2
● Version-3
1 #To find sum of two numbers
2 #This is multi-line comments
3 #One more commented line
4 """
5 This is first line
6 This second line
7 Finally comes third
8 """
4 '''
5 This is first line
6 This second line
7 Finally comes third
8 '''
5. Docstrings
Multi Line Comments
● Python supports only single line commenting
● Strings enclosed within ''' … ''' or """ … """, if not assigned to any variable, they are removed from
memory by the GC
● Also called as Documentation Strings OR docstrings
● Useful to create API file
Command to Create the html file
-------------------------------
py -m pydoc -w 1_Docstrings
-m: Module
-w: To create the html file
7. Data-Types
None Type
● None data-type represents an object that does not contain any value
● In Java, it is called as NULL Object
● In Python, it is called as NONE Object
● In boolean expression, NONE data-type represents ‘False’
● Example:
○ a = “”
8. Data-Types
Numeric Type
● int
○ No limit for the size of an int datatype
○ Can store very large numbers conveniently
○ Only limited by the memory of the system
○ Example:
■ a = 20
10. Data-Types
Numeric Type
● Complex
○ Written in the form a + bj OR a + bJ
○ a and b may be ints or floats
○ Example:
■ c = 1 + 5j
■ c = -1 - 4.4j
11. Representation
Binary, Octal, Hexadecimal
● Binary
○ Prefixed with 0b OR 0B
■ 0b11001100
■ 0B10101100
● Octal
○ Prefixed with 0o OR 0O
■ 0o134
■ 0O345
● Hexadecimal
○ Prefixed with 0x OR 0X
■ 0xAB
■ 0Xab
12. Conversion
Explicit
● Coercion / type conversions
○ Example-1:
○ Example-2:
x = 15.56
int(x) #Will convert into int and display 15
x = 15
float(x) #Will convert into float and display 15.0
13. Conversion
Explicit
● Coercion / type conversions
○ Example-3:
○ Example-4:
a = 15.56
complex(a) #Will convert into complex and display (15.56 + 0j)
a = 15
b = 3
complex(a, b) #Will convert into complex and display (15 + 3j)
14. Conversion
Explicit
● Coercion / type conversions
○ Example-5: To convert string into integer
○ Syntax: int(string, base)
○ Other functions are
■ bin(): To convert int to binary
■ oct(): To convert oct to binary
■ hex(): To convert hex to binary
str = “1c2”
n = int(str, 16)
print(n)
15. bool Data-Type
● Two bool values
○ True: Internally represented as 1
○ False: Internally represented as 0
● Blank string “” also represented as False
● Example-1:
a = 10
b = 20
if ( a < b):
print(“Hello”)
18. Sequences
str
● str represents the string data-type
● Example-1:
● Example-2:
3 str = "Welcome to Python"
4 print(str)
5
6 str = 'Welcome to Python'
7 print(str)
3 str = """
4 Welcome to Python
5 I am very big
6 """
7 print(str)
8
9 str = '''
10 Welcome to Python
11 I am very big
12 '''
13 print(str)
19. Sequences
str
● Example-3:
● Example-4:
3 str = "This is 'core' Python"
4 print(str)
5
6 str = 'This is "core" Python'
7 print(str)
3 s = "Welcome to Python"
4
5 #Print the whole string
6 print(s)
7
8 #Print the character indexed @ 2
9 print(s[2])
10
11 #Print range of characters
12 print(s[2:5]) #Prints 2nd to 4th character
13
14 #Print from given index to end
15 print(s[5: ])
16
17 #Prints first character from end(Negative indexing)
18 print(s[-1])
22. Sequences
bytes
● bytes represents a group of byte numbers
● A byte is any positive number between 0 and 255(Inclusive)
● Example-1:
3 #Create the list of byte type array
4 items = [10, 20, 30, 40, 50]
5
6 #Convert the list into bytes type array
7 x = bytes(items)
8
9 #Print the array
10 for i in x:
11 print(i)
23. Sequences
bytes
● Modifying any item in the byte type is not possible
● Example-2:
3 #Create the list of byte type array
4 items = [10, 20, 30, 40, 50]
5
6 #Convert the list into bytes type array
7 x = bytes(items)
8
9 #Modifying x[0]
10 x[0] = 11 #Gives an error
25. Sequences
bytearray
● bytearray is similar to bytes
● Difference is items in bytearray is modifiable
● Example-1:
3 #Create the list of byte type array
4 items = [10, 20, 30, 40, 50]
5
6 #Convert the list into bytes type array
7 x = bytearray(items)
8
9 x[0] = 55 #Allowed
10
11 #Print the array
12 for i in x:
13 print(i)
27. Sequences
list
● list is similar to array, but contains items of different data-types
● list can grow dynamically at run-time, but arrays cannot
● Example-1:
3 #Create the list
4 list = [10, -20, 15.5, 'Emertxe', "Python"]
5
6 print(list)
7
8 print(list[0])
9
10 print(list[1:3])
11
12 print(list[-2])
13
14 print(list * 2)
29. Sequences
tuple
● tuple is similar to list, but items cannot be modified
● tuple is read-only list
● tuple are enclosed within ()
● Example-1:
3 #Create the tuple
4 tpl = (10, -20, 12.34, "Good", 'Elegant')
5
6 #print the list
7 for i in tpl:
8 print(i)
31. Sequences
range
● range represents sequence of numbers
● Numbers in range are not modifiable
● Example-1:
3 #Create the range of numbers
4 r = range(10)
5
6 #Print the range
7 for i in r:
8 print(i)
32. Sequences
range
● Example-2:
● Example-3:
10 #Print the range with step size 2
11 r = range(20, 30, 2)
12
13 #Print the range
14 for i in r:
15 print(i)
17 #Create the list with range of numbers
18 lst = list(range(10))
19 print(lst)
34. Sets
● Set is an unordered collection of elements
● Elements may not appear in the same order as they are entered into the set
● Set does not accept duplicate items
● Types
○ set datatype
○ frozenset datatype
35. Sets
set
● Example-1:
● Example-2:
● Example-3:
3 #Create the set
4 s = {10, 20, 30, 40, 50}
5 print(s) #Order will not be maintained
8 ch = set("Hello")
9 print(ch) #Duplicates are removed
11 #Convert list into set
12 lst = [1, 2, 3, 3, 4]
13 s = set(lst)
14 print(s)
36. Sets
set
● Example-5:
● Example-6:
11 #Convert list into set
12 lst = [1, 2, 3, 3, 4]
13 s = set(lst)
14 print(s)
16 #Addition of items into the array
17 s.update([50, 60])
18 print(s)
19
20 #Remove the item 50
21 s.remove(50)
22 print(s)
37. Sets
frozenset
● Similar to that of set, but cannot modify any item
● Example-1:
● Example-2:
2 s = {1, 2, 3, 4}
3 print(s)
4
5 #Creating the frozen set
6 fs = frozenset(s)
7 print(fs)
9 #One more methos to create the frozen set
10 fs = frozenset("abcdef")
11 print(fs)
39. Mapping
● Map represents group of items in the form of key: value pair
● dict data-type is an example for map
● Example-1:
● Example-2:
3 #Create the dictionary
4 d = {10: 'Amar', 11: 'Anthony', 12: 'Akbar'}
5 print(d)
6
7 #Print using the key
8 print(d[11])
10 #Print all the keys
11 print(d.keys())
12
13 #Print all the values
14 print(d.values())
40. Mapping
● Example-3:
● Example-4:
16 #Change the value
17 d[10] = 'Akul'
18 print(d)
19
20 #Delete the item
21 del d[10]
22 print(d)
24 #create the dictionary and populate dynamically
25 d = {}
26 d[10] = "Ram"
27
28 print(d)