Variables & Data Types In Python | EdurekaEdureka!
YouTube Link: https://youtu.be/6yrsX752CWk
(** Python Certification Training: https://www.edureka.co/python **)
This Edureka PPT on 'Variables and Data Types in Python' will help you establish a foothold on Python by helping you learn basic concepts like variables and data types. Below are the topics covered in this PPT:
Introduction To Python
Applications Of Python
Variable Declaration
Variable Data Types
Type Conversion
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
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.
Variables & Data Types In Python | EdurekaEdureka!
YouTube Link: https://youtu.be/6yrsX752CWk
(** Python Certification Training: https://www.edureka.co/python **)
This Edureka PPT on 'Variables and Data Types in Python' will help you establish a foothold on Python by helping you learn basic concepts like variables and data types. Below are the topics covered in this PPT:
Introduction To Python
Applications Of Python
Variable Declaration
Variable Data Types
Type Conversion
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
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.
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
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
A pointer is a variable whose value is the address of another variable, i.e., direct address of the memory location. Like any variable or constant, you must declare a pointer before you can use it to store any variable address.
There are few important operations, which we will do with the help of pointers very frequently. (a) we define a pointer variable (b) assign the address of a variable to a pointer and (c) finally access the value at the address available in the pointer variable. This is done by using unary operator * that returns the value of the variable located at the address specified by its operand.
Structured Languages- Need and Characteristics of OOP, Data Types and Modifiers, Arrays, Classes, Objects, Pointers, References, Difference between Pointers and References, Inheritance, Constructors, Destructors, and Polymorphism.
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
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
A pointer is a variable whose value is the address of another variable, i.e., direct address of the memory location. Like any variable or constant, you must declare a pointer before you can use it to store any variable address.
There are few important operations, which we will do with the help of pointers very frequently. (a) we define a pointer variable (b) assign the address of a variable to a pointer and (c) finally access the value at the address available in the pointer variable. This is done by using unary operator * that returns the value of the variable located at the address specified by its operand.
Structured Languages- Need and Characteristics of OOP, Data Types and Modifiers, Arrays, Classes, Objects, Pointers, References, Difference between Pointers and References, Inheritance, Constructors, Destructors, and Polymorphism.
Every value in Java has a data type. Java supports two kinds of data types: primitive data types and reference data types. Primitive data types represent atomic, indivisible values. Java has eight Numeric data types: byte, short, int,
An operator is a symbol that is used to perform some type of computation on its operands. Java contains a rich set of
operators. Operators are categorized as unary, binary, or ternary based on the number of operands they take. They are categorized as arithmetic, relational, logical, etc. based on the operation they perform on their operands.
long, float, double, char, and boolean. Literals of primitive data types are constants. Reference data types represent
references of objects in memory. Java is a statically typed programming language. That is, it checks the data types of all values at compile time.
Chapter 01 Introduction to Java by Tushar B KuteTushar B Kute
The lecture was condcuted by Tushar B Kute at YCMOU, Nashik through VLC orgnanized by MSBTE. The contents can be found in book "Core Java Programming - A Practical Approach' by Laxmi Publications.
Presented By:
N.V.Raja Sekhar Reddy
www.technolamp.co.in
Want more interesting...
Watch and Like us @ https://www.facebook.com/Technolamp.co.in
subscribe videos @ http://www.youtube.com/user/nvrajasekhar
Core Java Programming Language (JSE) : Chapter III - Identifiers, Keywords, ...WebStackAcademy
An identifier is a name that is used for the identification purpose. It can either be a class name, method name, variable name, or label name. While creating identifier one must be aware of some rules that has to be followed strictly. Here are the things that can be included while creating java identifiers.
Keywords are predefined, reserved words used in Java programming that have special meanings to the compiler. For example:
int score;
Here, int is a keyword. It indicates that the variable score is of integer type (32-bit signed two's complement integer).
You cannot use keywords like int, for, class etc as variable name (or identifiers) as they are part of the Java programming language syntax. Here's the complete list of all keywords in Java programming.
The eight primitive data types in Java are:
boolean, the type whose values are either true or false
char, the character type whose values are 16-bit Unicode characters
the arithmetic types:
the integral types:
byte
short
int
long
the floating-point types:
float
double
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
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
"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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. 2
What is Variable?
Variable is a name that is used to refer to memory location.
Python variable is also known as an identifier and used to hold value.
In Python, we don't need to specify the type of variable because Python is a infer
language and smart enough to get variable type.
Variable names can be a group of both the letters and digits, but they have to begin with a
letter or an underscore.
It is recommended to use lowercase letters for the variable name. For example, Rahul and
rahul both are two different variables.
3. 3
Declaring Variable and Assigning Values
Python does not bind us to declare a variable before
using it in the application. It allows us to create a
variable at the required time.
We don't need to declare explicitly variable in
Python. When we assign any value to the variable,
that variable is declared automatically.
The equal (=) operator is used to assign value to a
variable.
In Python, variables are a symbolic name that is a
reference or pointer to an object. The variables are
used to denote objects by that name.
Example:
a=100
In the below image, the variable a
refers to an integer object.
a 100
4. 4
Object Reference
It is necessary to understand how the Python interpreter works when we declare a variable.
The process of treating variables is somewhat different from many other programming
languages.
Python is the highly object-oriented programming language; that's why every data item belongs
to a specific type of class. Consider the following example.
In the below example print statement, we have created a string object. type() is used to return
the type of the object.
5. 5
Object Identity
In Python, every created object identifies uniquely in Python.
Python provides the guaranteed that no two objects will have the same identifier.
The built-in id() function, is used to identify the object identifier.
6. 6
How to define Variable Names
Variable names can be any length can have uppercase, lowercase (A to Z, a to z), the digit (0-
9), and underscore character(_). Consider the example of valid variables names.
1.name = "Devansh"
2.age = 20
3.marks = 80.50
1.name = "A"
2.Name = "B"
3.naMe = "C"
4.NAME = "D"
5.n_a_m_e = "E"
6._name = "F"
7.name_ = "G"
8._name_ = "H"
9.na56me = "I"
In the example, we have declared a few valid variable names
such as name, _name_ , etc. But it is not recommended
because when we try to read code, it may create confusion.
The variable name should be descriptive to make code more
readable.
The multi-word keywords can be created by the following
method.
1. Camel Case - In the camel case, each word or abbreviation
in the middle of begins with a capital letter. There is no
intervention of whitespace. For example - nameOfStudent,
valueOfVaraible, etc.
2. Pascal Case - It is the same as the Camel Case, but here
the first word is also capital. For example - NameOfStudent,
etc.
3. Snake Case - In the snake case, Words are separated by
the underscore. For example - name_of_student, etc.
7. 7
Multiple Assignment
Python allows us to assign a value to multiple variables in a single statement, which is also
known as multiple assignments.
We can apply multiple assignments in two ways, either by assigning a single value to multiple
variables or assigning multiple values to multiple variables. Consider the following example.
1. Assigning single value to multiple variables
x=y=z=1025
2. Assigning multiple values to multiple variables
x,y,z =20, 30, 40
Here, The values will be assigned in the order in which variables appear.
8. 8
Variable Types
Local variables are the variables that declared inside the function and have scope within the
function.
Global variables can be used throughout the program, and its scope is in the entire program.
We can use global variables inside or outside the function.
A variable declared outside the function is the global variable by default. Python provides the
global keyword to use global variable inside the function. If we don't use the global keyword,
the function treats it as a local variable.
Local Variable
Variable
Global Variable
9. 9
Example of local variable:
# Declaring a function
def add():
# Defining local variables. They has scope only within a function
a = 20
b = 30
c = a + b
print("The sum is:", c)
# Calling a function
add()
Note: If we try to use local variable outside the function, it will throw an error.
10. 10
Example of global variable:
# Declare a variable and initialize it
x = 101
# Global variable in function
def mainFunction():
# printing a global variable
global x
print(x)
# modifying a global variable
x = 'Welcome To ISM'
print(x)
mainFunction()
print(x)
11. 11
Deleting a Variable
We can delete the variable using the del keyword. The syntax and example is given below.
del <variable_name>