This document discusses classes and objects in Python programming. It covers key concepts like class attributes, instantiating classes to create objects, using constructors and destructors, composition where objects have other objects as attributes, and referencing objects. The document uses examples like a Time class to demonstrate class syntax and how to define attributes and behaviors for classes.
PYTHON-Chapter 3-Classes and Object-oriented Programming: MAULIK BORSANIYAMaulik Borsaniya
Classes and Object-oriented Programming:
Classes: Creating a Class, The Self Variable, Constructor, Types of Variables, Namespaces, Types of Methods (Instance Methods, Class Methods, Static Methods), Passing Members of One Class to Another Class, Inner Classes
Inheritance and Polymorphism: Constructors in Inheritance, Overriding Super Class Constructors and Methods, The super() Method, Types of Inheritance, Single Inheritance, Multiple Inheritance, Method Resolution Order (MRO), Polymorphism, Duck Typing Philosophy of Python, Operator Overloading, Method Overloading, Method Overriding
Abstract Classes and Interfaces: Abstract Method and Abstract Class, Interfaces in Python, Abstract Classes vs. Interfaces,
Object oriented programming with pythonArslan Arshad
A short intro to how Object Oriented Paradigm work in Python Programming language. This presentation created for beginner like bachelor student of Computer Science.
PYTHON-Chapter 3-Classes and Object-oriented Programming: MAULIK BORSANIYAMaulik Borsaniya
Classes and Object-oriented Programming:
Classes: Creating a Class, The Self Variable, Constructor, Types of Variables, Namespaces, Types of Methods (Instance Methods, Class Methods, Static Methods), Passing Members of One Class to Another Class, Inner Classes
Inheritance and Polymorphism: Constructors in Inheritance, Overriding Super Class Constructors and Methods, The super() Method, Types of Inheritance, Single Inheritance, Multiple Inheritance, Method Resolution Order (MRO), Polymorphism, Duck Typing Philosophy of Python, Operator Overloading, Method Overloading, Method Overriding
Abstract Classes and Interfaces: Abstract Method and Abstract Class, Interfaces in Python, Abstract Classes vs. Interfaces,
Object oriented programming with pythonArslan Arshad
A short intro to how Object Oriented Paradigm work in Python Programming language. This presentation created for beginner like bachelor student of Computer Science.
Python Class | Python Programming | Python Tutorial | EdurekaEdureka!
( Python Training : https://www.edureka.co/python )
This Edureka Python Class tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you understand Python Classes and Objects with examples. It will also explain the concept of Abstract Classes and Inheritance in python.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
This Python Programming tutorial video helps you to learn following topics:
1. Python Classes and Objects
2. Inheritance
3. Abstract Classes
This presentation educates you about objectives of python with example syntax, OOP Terminology, Creating Classes, Creating Instance Objects, Accessing Attributes and Built-In Class Attributes.
The tutorial will introduce you to Python Packages. This Python basic tutorial will help you understand creating a Python package. You will understand the example of a Python Package. After that, you will understand different ways to access Python Packages. Further, the demonstration will educate you on how to create Python Package.
OOPS concepts are one of the most important concepts in high level languages. Here in this PPT we will learn more about Object oriented approach in python programming which includes details related to classes and objects, inheritance, dat abstraction, polymorphism and many more with examples and code.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
Python Class | Python Programming | Python Tutorial | EdurekaEdureka!
( Python Training : https://www.edureka.co/python )
This Edureka Python Class tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you understand Python Classes and Objects with examples. It will also explain the concept of Abstract Classes and Inheritance in python.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
This Python Programming tutorial video helps you to learn following topics:
1. Python Classes and Objects
2. Inheritance
3. Abstract Classes
This presentation educates you about objectives of python with example syntax, OOP Terminology, Creating Classes, Creating Instance Objects, Accessing Attributes and Built-In Class Attributes.
The tutorial will introduce you to Python Packages. This Python basic tutorial will help you understand creating a Python package. You will understand the example of a Python Package. After that, you will understand different ways to access Python Packages. Further, the demonstration will educate you on how to create Python Package.
OOPS concepts are one of the most important concepts in high level languages. Here in this PPT we will learn more about Object oriented approach in python programming which includes details related to classes and objects, inheritance, dat abstraction, polymorphism and many more with examples and code.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
Presented during the DrupalCamp Cebu 2015. It demonstrates how we handled and integrated multiple, switchable, and extendable map APIs with our Drupal site (CNN Travel). It showcases the modern map APIs particularly the Google Maps, HERE Maps, and MapBox.
Likewise, it will feature the Strategy Design Pattern for easy switching of map objects' context and activating a particular map API. Discussion will include the various entity contexts (node and taxonomy pages), Drupal admin form for inputting API credentials, Drupal.settings' object integration, the template files and other loaded assets, the rendered widgets, as well as the challenges we encountered and their corresponding solutions/workaround.
The session is targeted for those interested in design patterns, web mapping, or implementing switchable JavaScript APIs (multiple chart APIs, map APIs, or any family of 3rd-party APIs).
This course is a complete package that helped me to learn Python Programming from basic to an intermediate level. The course curriculum has been divided into 4 weeks where we can practice questions & attempt the assessment tests according to your own pace. The course offers us a wealth of programming challenges that will help you to prepare for interviews with top-notch companies like Microsoft, Amazon, Adobe etc
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The Synergy of Drupal Hooks/APIs (Custom Module Development with ChartJS)Ranel Padon
Showcases the most useful Drupal hooks and functions. Demonstrates their powerful and beautiful interactions. Uses a custom chart block to illustrate the synergy of functions.
Discusses how to configure and implement custom CKEditor widgets in Drupal. Includes numerous examples of custom widgets and actual widgets that we use in CNN Travel site.
Note that you could also download the PDF copy of this presentation by clicking the Save/Download button. The PDF copy has far better quality than the one rendered here online.
Views Unlimited: Unleashing the Power of Drupal's Views ModuleRanel Padon
Unleashing the power of Views Drupal module. Discusses Display Formats (Map, Chart, Slideshow, Data Export), Fields, Basic Filters, Exposed Filters, Contextual Filters, Relationships, Attachment, and so on. Includes numerous sample use cases and recommendations.
Of Nodes and Maps (Web Mapping with Drupal - Part II)Ranel Padon
Discusses the input, storage, and display mechanisms of spatial fields on nodes: how to utilize Geofield's input widgets and output formatters, how to integrate Geofield with Leaflet and OpenLayers, and how to integrate them with Views.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
2. PYTHON PROGRAMMING TOPICS
I
•Introduction to Python Programming
II
•Python Basics
III
•Controlling the Program Flow
IV
•Program Components: Functions, Classes, Packages, and Modules
V
•Sequences (List and Tuples), and Dictionaries
VI
•Object-Based Programming: Classes and Objects
VII
•Customizing Classes and Operator Overloading
VIII
•Object-Oriented Programming: Inheritance and Polymorphism
IX
•Randomization Algorithms
X
•Exception Handling and Assertions
XI
•String Manipulation and Regular Expressions
XII
•File Handling and Processing
XIII
•GUI Programming Using Tkinter
4. PROGRAMMING PARADIGMS
• Procedural/Imperative (C, FORTRAN, COBOL)
• Object-Oriented (C++, Java, C#, Objective-C)
Objective-C is used in Apple’s OS X and iOS and for customizing its apps.
• Functional Programming (Lisp)
Lisp is used for customizing AutoCAD
• Logic Programming (Prolog)
• Concurrent (Erlang)
• Multi-Paradigm (Python, Scala, PHP, JavaScript)
•…
10. PROCEDURE-ORIENTED PROGRAMMING
1/6) Emphasis is on doing things (algorithms).
2/6) Large programs are divided into smaller programs
known as functions.
3/6) Most of the functions share global data.
11. PROCEDURE-ORIENTED PROGRAMMING
4/6) Data are more open around the system from function
to function.
5/6) Functions transform data from one form to another.
6/6) Employs top-down approach in program design.
13. OBJECT-ORIENTED PROGRAMMING
The data of an object can be accessed only by the functions
associated with that object.
Functions of one object can access the functions of other objects.
14. OBJECT-ORIENTED PROGRAMMING
1/8) Emphasis is on data rather than procedures or algorithms.
2/8) Programs are divided into what are known as objects.
3/8) Data structures are designed such that they characterize
the objects.
4/8) Functions that operate on the data are tied together in
the data structure.
15. OBJECT-ORIENTED PROGRAMMING
5/8) Data is hidden and cannot be accessed by external functions.
6/8) Objects may communicate with each other through functions.
7/8) New data and functions can be easily added whenever necessary.
8/8) Follows bottom-up approach in program design.
16. OBJECT-ORIENTED PROGRAMMING
Benefits of OOP:
1/8) Through inheritance, we can eliminate redundant code and extend
the use of existing classes which is not possible in procedure-oriented
approach.
2/8) We can build programs from the standard working modules that
communicate with one another, rather than having to start writing the
code from scratch which happens procedure-oriented approach.
This leads to saving of development time and higher productivity.
17. OBJECT-ORIENTED PROGRAMMING
Benefits of OOP:
3/8) The principle of data hiding helps the programmer to build secure
programs that cannot be invaded by code in other parts of the program.
4/8) It is possible to have multiple instances of object to co-exist without
any interference.
18. OBJECT-ORIENTED PROGRAMMING
Benefits of OOP:
5/8) It is possible to map objects in the problem domain
to those in the program.
6/8) It is easy to partition the work in a project based on objects .
19. OBJECT-ORIENTED PROGRAMMING
Benefits of OOP:
7/8) Object oriented systems can be easily upgraded from small
to large systems.
8/8) Software complexity can be easily managed.
21. OBJECT-ORIENTED PROGRAMMING
• Simula was invented by Ole-Johan Dahl and Kristen Nygaard,
which influenced C++, Java, and C#
• professors Dahl and Nygaard received two very prestigious prizes:
1.) von Neumann medal
2.) Turing prize (the Nobel prize of computer science)
23. CLASSES
• A class is just like a blueprint of a house.
• An object is the actual house built from that blueprint.
• You could then create numerous houses/objects from a single blueprint.
24. CLASSES
Two main components of an Object/Class
(these terms are synonymous/equivalent):
• Attributes & Behaviors
• Variables & Functions
• Fields & Methods
• Data Members & Member Functions
69. DESTRUCTORS
• method called __del__
• executes when the last reference to
an object is deleted or goes out of scope.
• specifies no parameters other than self
• returns None.
71. CLASS ATTRIBUTES
Class Attributes are used to track the state of all
objects/instances of a given class.
They are also known as Static Variables
There are also Class Behaviors (Static Methods), methods
that involve all objects/instances of a given class). In Java,
Static Methods are used heavily by the Math class so that you
could execute methods without creating an object of the Math
class
73. CLASS ATTRIBUTES
Lists are not restricted to homogeneous data types.
Python programmers typically use lists
to store sequences of homogeneous values
(values of the same data type)
74. CLASS ATTRIBUTES
Lists are not restricted to homogeneous data types.
Python programmers typically use lists
to store sequences of homogeneous values
(values of the same data type)
76. COMPOSITION
• Objects usually have attributes of basic/primitive data types
(string, integers, boolean, etc)
• Composition: when objects whose attributes
are themselves references to objects of other classes
83. REFERENCES
Deitel, Deitel, Liperi, and Wiedermann - Python: How to Program (2001).
Disclaimer: Most of the images/information used here have no proper source citation, and I do
not claim ownership of these either. I don’t want to reinvent the wheel, and I just want to reuse
and reintegrate materials that I think are useful or cool, then present them in another light,
form, or perspective. Moreover, the images/information here are mainly used for
illustration/educational purposes only, in the spirit of openness of data, spreading light, and
empowering people with knowledge.