This document provides an introduction to object oriented programming concepts in Python. It begins with examples of basic Python data types and loops. It then discusses why object oriented programming is useful, describing real world objects in code, reusability, and manageability. The key concepts of object oriented programming are defined, including classes, objects, attributes, and methods. An example taxi class is created to demonstrate these concepts, including defining attributes like driver name and cities, and methods like pick up and drop off passengers. The document discusses how to define a class, create objects from a class, and add methods to classes to define object behavior. It also introduces the concept of class variables that are shared among all objects versus object variables that are unique to
What is Tuple in python? | Python Tuple Tutorial | EdurekaEdureka!
YouTube Link: https://youtu.be/GstQPTWpt88
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This Edureka video on 'Tuple In Python' will help you understand how we can use Tuple in Python with various examples for better understanding. Following are the topics discussed:
What Is Tuple In Python?
Accessing Elements In A Tuple
Changing A Tuple
Concatenating Two Tuples
Deleting A Tuple
Tuple Methods
List vs Tuple
Tuple Constructor
Other Examples
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A parser is a program component that breaks input data into smaller elements according to the rules of a formal grammar. It builds a parse tree representing the syntactic structure of the input based on these grammar rules. There are two main types of parsers: top-down parsers start at the root of the parse tree and work downward, while bottom-up parsers start at the leaves and work upward. Parser generators use attributes like First and Follow to build parsing tables for predictive parsers like LL(1) parsers, which parse input from left to right based on a single lookahead token.
This document outlines an introduction to object oriented programming in Python. It discusses Python's support for multiple programming paradigms including procedural, object-oriented, and functional. Python allows programmers to choose the paradigm best suited to the problem. The document then covers Python classes, stating that a class is a Python object that returns a new instance when called. Classes contain attributes that can be descriptors like functions or normal data. Inheritance allows classes to delegate attribute lookup to parent classes.
This document discusses object-oriented programming concepts in Python, including inheritance and method overriding. It provides examples of using inheritance to create child classes like Taxi and Bus that inherit attributes and methods from a parent Vehicle class. It also demonstrates overriding the __init__ and __str__ methods in child classes to customize initialization and string representation while still calling the parent methods. The document includes exercises for readers to practice modeling inheritance relationships and method overriding.
This tutorial on Operator Overloading in Python will you learn the various aspects of Operator overloading in Python. The Python tutorial will make you understand the concept of Operator Overloading and will demonstrate how to overload operators in Python with classic examples. You will get to know the concept deeper with a hands-on demo.
File Handling is used in C language for store a data permanently in computer.
Using file handling you can store your data in Hard disk.
http://www.tutorial4us.com/cprogramming/c-file-handling
heap sort in the design anad analysis of algorithmsssuser7319f8
Heap sort is a sorting algorithm that uses a heap data structure. It works in two phases: first it builds a max heap from the input data, then it repeatedly extracts the largest element from the heap and inserts it into the sorted end of the data. This results in the elements being sorted in O(n log n) time using only O(1) additional memory space, making it efficient for both time and space complexity. It performs better than quicksort in the worst case but requires random access to data unlike merge sort.
Harga Pokok Proses metode rata-rata tertimbangRAnie Chucute
Laporan menjelaskan perhitungan harga pokok produksi dengan metode harga pokok proses untuk dua departemen produksi PT Pelita Bangsa pada bulan Januari 2015, dengan mempertimbangkan pengaruh produk hilang di setiap departemen.
This document provides an overview of object-oriented programming concepts such as objects, classes, and messaging. It defines an object as having state represented by variables and behavior represented by methods. A class is described as a blueprint that defines common attributes and behaviors of objects. The document also explains how objects communicate by sending messages to each other to invoke methods.
Matriks eselon baris dan tereduksi memiliki empat syarat utama: (1) elemen pertama baris non-nol harus bernilai 1, (2) baris semua elemen nol ditempatkan paling bawah, (3) elemen kepala baris di bawah berada lebih ke kanan dari atas, (4) kolom dengan kepala baris hanya memiliki elemen nol lainnya. Jika memenuhi keempat syarat, matriks tersebut disebut tereduksi, j
This document discusses run-time environments and memory management techniques used by programming languages at runtime. It covers topics like stack allocation, heap management, and garbage collection. Different garbage collection algorithms are described, including reference counting, mark-and-sweep, and generational garbage collectors. The goal of garbage collectors is to automatically free up memory from data that is no longer reachable by the running program.
The document discusses files in Python. It describes that files allow storing data permanently on disk that can be accessed by Python programs. There are two main types of files - text files, which store data as characters, and binary files, which store data in the same format as memory. The document outlines various methods for opening, reading, writing, and closing files in Python. It also discusses file paths and different file access modes.
Membahas mengenai Hubungan diantara beberapa elemen, Marjin Kontribusi, Titik Impas, Biaya Diferensial, Manfaat Analisis Biaya Diferensial, Hubungan dengan Titik Impas, Biaya Konversi.
The document discusses greedy algorithms and how they can be applied to solve optimization problems like the knapsack problem, activity selection problem, and job sequencing problem. It provides examples of greedy algorithms for each problem. A greedy algorithm works by making locally optimal choices at each step in the hope of finding a globally optimal solution. For the knapsack problem, the greedy approach sorts items by profit/weight ratio and fills the knapsack accordingly. For activity selection, it schedules activities based on earliest finish time. For job sequencing, it sorts jobs by profit and schedules the most profitable jobs that meet deadlines.
Dokumen tersebut membahas tentang pengambilan keputusan produksi yang relevan dan informasi yang diperlukan untuk membuat keputusan tersebut seperti biaya peluang, biaya diferensial, keputusan membuat atau membeli, produk bersama, biaya tidak relevan, dan pengukuran kinerja."
Encapsulation involves bundling data members and functions inside a class to help with data hiding and ensure objects work independently. It wraps both data and methods into a single unit so end-users only need to provide inputs and receive outputs. Encapsulation provides well-defined, readable code; prevents accidental modification; and provides security. Python supports public, private, and protected access modifiers to restrict access to variables and functions within and outside classes.
Pointers and call by value, reference, address in CSyed Mustafa
The document discusses various C programming concepts including:
1. It provides an example program to calculate the area of a circle using #define and shows how to conditionally compile code blocks using #if, #elif, #else and #endif.
2. It explains that the C preprocessor transforms code before compilation by allowing users to define macros and includes several built-in preprocessor directives like #include, #define, and #if.
3. It discusses static and dynamic memory allocation in C, listing functions like malloc(), calloc(), free(), and realloc() for dynamic allocation and provides examples of their use.
The document discusses access control in Python object-oriented programming. It explains that in most languages, attributes and methods can be public, protected, or private, but in Python there is no built-in access control. By convention, prefixing with a single underscore _ indicates internal use only, while double underscore __ makes Python attempt to make it private. The document provides an example SecretString class to demonstrate how attributes prefixed with __ cannot be directly accessed but can still be retrieved by external objects in more complex ways.
While Python's standard library provides many features, it does not include everything. Developers can write their own packages or use third-party packages from others. The Python Package Index (PyPI) lists available third-party packages that can be installed using the pip tool. Pip allows installation of third-party packages with a simple command to add them to the library.
The iterator pattern is a design pattern where an iterator object is used to traverse the elements of a container. The iterator pattern includes two main parts - an iterable class that creates the iterator object, and an iterator class that implements the iteration logic and traversal of the container's elements using methods like next() and done(). The pattern provides a standard way to access elements of a container in a programming language-agnostic manner.
Design patterns are formalized best practices for solving common programming problems. They show relationships between classes and objects to address recurring design problems, but are not finished designs that can be directly converted to code. Design patterns provide reusable solutions to software design problems in specific contexts, and examples include strategy, computation, execution, implementation, and structural patterns.
Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.
Multiple inheritance allows a subclass to inherit from multiple parent classes, combining their functionality. While simple in concept, it can be tricky to implement clearly. The simplest form is a mixin, where a class is designed to be inherited from to share methods and attributes without becoming a unique entity itself. The example demonstrates a MailSender mixin class that a EmailableContact class inherits from along with a Contact class, allowing send_mail functionality to be reused across classes.
heap sort in the design anad analysis of algorithmsssuser7319f8
Heap sort is a sorting algorithm that uses a heap data structure. It works in two phases: first it builds a max heap from the input data, then it repeatedly extracts the largest element from the heap and inserts it into the sorted end of the data. This results in the elements being sorted in O(n log n) time using only O(1) additional memory space, making it efficient for both time and space complexity. It performs better than quicksort in the worst case but requires random access to data unlike merge sort.
Harga Pokok Proses metode rata-rata tertimbangRAnie Chucute
Laporan menjelaskan perhitungan harga pokok produksi dengan metode harga pokok proses untuk dua departemen produksi PT Pelita Bangsa pada bulan Januari 2015, dengan mempertimbangkan pengaruh produk hilang di setiap departemen.
This document provides an overview of object-oriented programming concepts such as objects, classes, and messaging. It defines an object as having state represented by variables and behavior represented by methods. A class is described as a blueprint that defines common attributes and behaviors of objects. The document also explains how objects communicate by sending messages to each other to invoke methods.
Matriks eselon baris dan tereduksi memiliki empat syarat utama: (1) elemen pertama baris non-nol harus bernilai 1, (2) baris semua elemen nol ditempatkan paling bawah, (3) elemen kepala baris di bawah berada lebih ke kanan dari atas, (4) kolom dengan kepala baris hanya memiliki elemen nol lainnya. Jika memenuhi keempat syarat, matriks tersebut disebut tereduksi, j
This document discusses run-time environments and memory management techniques used by programming languages at runtime. It covers topics like stack allocation, heap management, and garbage collection. Different garbage collection algorithms are described, including reference counting, mark-and-sweep, and generational garbage collectors. The goal of garbage collectors is to automatically free up memory from data that is no longer reachable by the running program.
The document discusses files in Python. It describes that files allow storing data permanently on disk that can be accessed by Python programs. There are two main types of files - text files, which store data as characters, and binary files, which store data in the same format as memory. The document outlines various methods for opening, reading, writing, and closing files in Python. It also discusses file paths and different file access modes.
Membahas mengenai Hubungan diantara beberapa elemen, Marjin Kontribusi, Titik Impas, Biaya Diferensial, Manfaat Analisis Biaya Diferensial, Hubungan dengan Titik Impas, Biaya Konversi.
The document discusses greedy algorithms and how they can be applied to solve optimization problems like the knapsack problem, activity selection problem, and job sequencing problem. It provides examples of greedy algorithms for each problem. A greedy algorithm works by making locally optimal choices at each step in the hope of finding a globally optimal solution. For the knapsack problem, the greedy approach sorts items by profit/weight ratio and fills the knapsack accordingly. For activity selection, it schedules activities based on earliest finish time. For job sequencing, it sorts jobs by profit and schedules the most profitable jobs that meet deadlines.
Dokumen tersebut membahas tentang pengambilan keputusan produksi yang relevan dan informasi yang diperlukan untuk membuat keputusan tersebut seperti biaya peluang, biaya diferensial, keputusan membuat atau membeli, produk bersama, biaya tidak relevan, dan pengukuran kinerja."
Encapsulation involves bundling data members and functions inside a class to help with data hiding and ensure objects work independently. It wraps both data and methods into a single unit so end-users only need to provide inputs and receive outputs. Encapsulation provides well-defined, readable code; prevents accidental modification; and provides security. Python supports public, private, and protected access modifiers to restrict access to variables and functions within and outside classes.
Pointers and call by value, reference, address in CSyed Mustafa
The document discusses various C programming concepts including:
1. It provides an example program to calculate the area of a circle using #define and shows how to conditionally compile code blocks using #if, #elif, #else and #endif.
2. It explains that the C preprocessor transforms code before compilation by allowing users to define macros and includes several built-in preprocessor directives like #include, #define, and #if.
3. It discusses static and dynamic memory allocation in C, listing functions like malloc(), calloc(), free(), and realloc() for dynamic allocation and provides examples of their use.
The document discusses access control in Python object-oriented programming. It explains that in most languages, attributes and methods can be public, protected, or private, but in Python there is no built-in access control. By convention, prefixing with a single underscore _ indicates internal use only, while double underscore __ makes Python attempt to make it private. The document provides an example SecretString class to demonstrate how attributes prefixed with __ cannot be directly accessed but can still be retrieved by external objects in more complex ways.
While Python's standard library provides many features, it does not include everything. Developers can write their own packages or use third-party packages from others. The Python Package Index (PyPI) lists available third-party packages that can be installed using the pip tool. Pip allows installation of third-party packages with a simple command to add them to the library.
The iterator pattern is a design pattern where an iterator object is used to traverse the elements of a container. The iterator pattern includes two main parts - an iterable class that creates the iterator object, and an iterator class that implements the iteration logic and traversal of the container's elements using methods like next() and done(). The pattern provides a standard way to access elements of a container in a programming language-agnostic manner.
Design patterns are formalized best practices for solving common programming problems. They show relationships between classes and objects to address recurring design problems, but are not finished designs that can be directly converted to code. Design patterns provide reusable solutions to software design problems in specific contexts, and examples include strategy, computation, execution, implementation, and structural patterns.
Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.
Multiple inheritance allows a subclass to inherit from multiple parent classes, combining their functionality. While simple in concept, it can be tricky to implement clearly. The simplest form is a mixin, where a class is designed to be inherited from to share methods and attributes without becoming a unique entity itself. The example demonstrates a MailSender mixin class that a EmailableContact class inherits from along with a Contact class, allowing send_mail functionality to be reused across classes.
This document provides an introduction and overview of various Python programming concepts including print statements, math operations, variables, selection using if/else statements, and iteration using while and for loops. Examples are given for basic "Hello World" programs, math calculations, variables, checking if a number is odd or even, and finding the largest of three numbers. Loops are demonstrated for printing ranges of numbers, calculating sums and factorials. The document also discusses data types and operations in Python.
The document discusses basic inheritance in Python. It explains that all classes inherit from the base Object class. Inheritance allows creating subclasses that inherit attributes and methods from a parent superclass. This allows code reuse and adding specialized behavior. An example creates a Contact class to store names and emails, with a Supplier subclass that adds an "order" method. A SupplierCheck subclass then overrides the order method to check the customer balance before processing orders.
The document discusses manager objects in Python. Manager objects delegate responsibilities to other methods rather than performing tasks directly. An example manager class is provided that finds and replaces text within files within a compressed ZIP file. The manager object's methods each perform a single step: unzipping the file, finding and replacing text, and rezipping the files. This partitioning improves readability, extensibility, and reusability of the methods.
Polymorphism allows the same method name to perform different actions depending on the object type. The document discusses polymorphism in the context of playing different audio file types (e.g. MP3, WAV, OGG). It defines an AudioFile parent class with subclasses for each file type that override the play() method. This allows calling play() on any audio file object while the correct playback logic is handled polymorphically based on the file's type.
Python: Migrating from Procedural to Object-Oriented ProgrammingDamian T. Gordon
The document discusses migrating code to an object-oriented approach. It begins with an example of modeling polygons with points and calculating perimeters procedurally. It then shows how to model this using classes to encapsulate the Point and Polygon logic and attributes. The document also discusses using properties to add behavior when getting and setting attributes, like validation checks. Properties allow interacting with attributes through getter and setter methods while retaining the attribute syntax.
The document describes the Extreme Programming (XP) model, an agile software development methodology created by Kent Beck. It discusses the key assumptions and practices of XP, including short iterative development cycles, frequent integration and testing, pair programming, and prioritizing customer feedback. The advantages are reducing costs and risks through simplicity, spreading work across the team. Disadvantages include potential lack of upfront design and measurement of quality assurance.
The document discusses classes and objects in Python programming. It covers key concepts like defining classes, creating objects, assigning attributes to objects, passing objects as arguments and returning objects from functions. It provides examples to illustrate these concepts like defining a Point class to represent coordinate points, creating Rectangle class with a Point object as one of its attributes. The document also discusses concepts like aliasing of objects and how to create a copy of an object instead of alias.
An object oriented concept in python is detailed for the students or anyone who aspire to learn more powerful concept that helps in developing software or any web development to the persons who work in a tech filed
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the self parameter, overriding methods like __str__ and adding operator overloading. It also covers inheritance, calling superclass methods, and generating exceptions. The document uses the Point class as a running example and includes exercises to write methods for it.
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the __init__ method, the __str__ method for string representation, operator overloading, inheritance between classes, and calling superclass methods from a subclass. Examples of a Point class are provided throughout to demonstrate various object-oriented programming concepts in Python.
در این جلسه به بررسی بحث برنامه نویسی شی گرا و کلاس ها در پایتون پرداختیم
PySec101 Fall 2013 J7E1 By Mohammad Reza Kamalifard
Talk About:
Object oriented programming and Classes in Python
This document provides an introduction to object-oriented programming in Python. It discusses how everything in Python is an object with a type, and how to create new object types using classes. Key points covered include defining classes with attributes like __init__() and methods, creating instances of classes, and defining special methods like __str__() to customize object behavior and representations. The document uses examples like Coordinate and Fraction classes to illustrate how to implement and use custom object types in Python.
The document discusses object-oriented programming concepts in Python including classes, objects, methods, and class definitions. Some key points:
- Python supports object-oriented programming with classes that define new data types and objects that are instances of those classes.
- A class defines attributes and methods that are common to all objects of that class. Methods are functions defined inside classes that operate on object instances.
- Objects are instantiated from classes and can have instance-specific attribute values. Dot notation accesses attributes and methods of an object.
- Initialization methods like __init__() set up new object instances. Special methods starting with double underscores have predefined meanings.
- Methods allow passing the object instance as the first
This document discusses object-oriented programming concepts in Python including classes, objects, attributes, methods, inheritance, and method overriding. It defines a MyVector class with x and y attributes and methods to add vectors and display their count. Access specifiers like private and built-in are covered. Python uses garbage collection and has no destructors. Inheritance allows a SubVector class to extend MyVector, and a method can be overridden to change a class's behavior.
The document discusses object-oriented programming in Python using a Point class as an example. It covers defining a Point class with x and y attributes, initializing points, overloading operators like addition and print, adding methods like calculating distance and slope between points, handling errors, and inheriting from the Point class to create a Point3d class. The goal is to demonstrate key OOP concepts in Python including classes, objects, methods, operator overloading, inheritance and exceptions.
Class, object and inheritance in pythonSantosh Verma
The document discusses object-oriented programming concepts in Python, including classes, objects, methods, inheritance, and the built-in __init__ method. Classes are created using the class keyword and contain attributes and methods. Methods must have a self parameter, which refers to the instance of the class. The __init__ method is similar to a constructor and is called when an object is instantiated. Inheritance allows one class to inherit attributes and methods from another class.
The document discusses Python classes and object-oriented programming concepts. It defines key terms like class, object, method, and inheritance. It provides examples of creating a basic Employee class with methods and instance variables. It also covers class variables, accessing object attributes, adding/removing attributes, inheritance, and overriding methods in subclasses. The goal is to teach Python language essentials for object-oriented programming.
This document provides an overview of object-oriented programming concepts in Python including classes, objects, inheritance, polymorphism and data hiding. It defines key OOP terms like class, object, method, and inheritance. It also demonstrates how to define classes with attributes and methods, create object instances, and extend functionality via inheritance. The document shows how operators and methods can be overloaded in classes.
Search Engine Optimization (SEO) for Website SuccessMuneeb Rana
Unlock the essentials of Search Engine Optimization (SEO) with this concise, visually driven PowerPoint. Inside you’ll find:
✅ Clear definitions and core concepts of SEO
✅ A breakdown of On‑Page, Off‑Page, and Technical SEO
✅ Actionable best‑practice checklists for keyword research, content optimization, and link building
✅ A quick‑start toolkit featuring Google Analytics, Search Console, Ahrefs, SEMrush, and Moz
✅ Real‑world case study demonstrating a 70 % organic‑traffic lift
✅ Common challenges, algorithm updates, and tips for long‑term success
Whether you’re a digital‑marketing student, small‑business owner, or PR professional, this deck will help you boost visibility, build credibility, and drive sustainable traffic. Download, share, and start optimizing today!
Stewart Butler - OECD - How to design and deliver higher technical education ...EduSkills OECD
Stewart Butler, Labour Market Economist at the OECD presents at the webinar 'How to design and deliver higher technical education to develop in-demand skills' on 3 June 2025. You can check out the webinar recording via our website - https://oecdedutoday.com/webinars/ .
You can check out the Higher Technical Education in England report via this link 👉 - https://www.oecd.org/en/publications/higher-technical-education-in-england-united-kingdom_7c00dff7-en.html
You can check out the pathways to professions report here 👉 https://www.oecd.org/en/publications/pathways-to-professions_a81152f4-en.html
How to Create Quotation Templates Sequence in Odoo 18 SalesCeline George
In this slide, we’ll discuss on how to create quotation templates sequence in Odoo 18 Sales. Odoo 18 Sales offers a variety of quotation templates that can be used to create different types of sales documents.
How to Create a Stage or a Pipeline in Odoo 18 CRMCeline George
In Odoo, the CRM (Customer Relationship Management) module’s pipeline is a visual representation of a company's sales process that helps sales teams track and manage their interactions with potential customers.
Analysis of Quantitative Data Parametric and non-parametric tests.pptxShrutidhara2
This presentation covers the following points--
Parametric Tests
• Testing the Significance of the Difference between Means
• Analysis of Variance (ANOVA) - One way and Two way
• Analysis of Co-variance (One-way)
Non-Parametric Tests:
• Chi-Square test
• Sign test
• Median test
• Sum of Rank test
• Mann-Whitney U-test
Moreover, it includes a comparison of parametric and non-parametric tests, a comparison of one-way ANOVA, two-way ANOVA, and one-way ANCOVA.
IDSP is a disease surveillance program in India that aims to strengthen/maintain decentralized laboratory-based IT enabled disease surveillance systems for epidemic prone diseases to monitor disease trends, and to detect and respond to outbreaks in the early phases swiftly.....
Diptera: The Two-Winged Wonders, The Fly Squad: Order Diptera.pptxArshad Shaikh
Diptera, commonly known as flies, is a large and diverse order of insects that includes mosquitoes, midges, gnats, and horseflies. Characterized by a single pair of wings (hindwings are modified into balancing organs called halteres), Diptera are found in almost every environment and play important roles in ecosystems as pollinators, decomposers, and food sources. Some species, however, are significant pests and disease vectors, transmitting diseases like malaria, dengue, and Zika virus.
Trends Spotting Strategic foresight for tomorrow’s education systems - Debora...EduSkills OECD
Deborah Nusche, Senior Analyst, OECD presents at the OECD webinar 'Trends Spotting: Strategic foresight for tomorrow’s education systems' on 5 June 2025. You can check out the webinar on the website https://oecdedutoday.com/webinars/ Other speakers included: Deborah Nusche, Senior Analyst, OECD
Sophie Howe, Future Governance Adviser at the School of International Futures, first Future Generations Commissioner for Wales (2016-2023)
Davina Marie, Interdisciplinary Lead, Queens College London
Thomas Jørgensen, Director for Policy Coordination and Foresight at European University Association
Available for Weekend June 6th. Uploaded Wed Evening June 4th.
Topics are unlimited and done weekly. Make sure to catch mini updates as well. TY for being here. More upcoming this summer.
A 8th FREE WORKSHOP
Reiki - Yoga
“Intuition” (Part 1)
For Personal/Professional Inner Tuning in. Also useful for future Reiki Training prerequisites. The Attunement Process. It’s all about turning on your healing skills. See More inside.
Your Attendance is valued.
Any Reiki Masters are Welcomed
More About:
The ‘Attunement’ Process.
It’s all about turning on your healing skills. Skills do vary as well. Usually our skills are Universal. They can serve reiki and any relatable Branches of Wellness.
(Remote is popular.)
Now for Intuition. It’s silent by design. We can train our intuition to be bold or louder. Intuition is instinct and the Senses. Coded in our Workshops too.
Intuition can include Psychic Science, Metaphysics, & Spiritual Practices to aid anything. It takes confidence and faith, in oneself.
Thank you for attending our workshops.
If you are new, do welcome.
Grad Students: I am planning a Reiki-Yoga Master Course. I’m Fusing both together.
This will include the foundation of each practice. Both are challenging independently. The Free Workshops do matter. They can also be downloaded or Re-Read for review.
My Reiki-Yoga Level 1, will be updated Soon/for Summer. The cost will be affordable.
As a Guest Student,
You are now upgraded to Grad Level.
See, LDMMIA Uploads for “Student Checkin”
Again, Do Welcome or Welcome Back.
I would like to focus on the next level. More advanced topics for practical, daily, regular Reiki Practice. This can be both personal or Professional use.
Our Focus will be using our Intuition. It’s good to master our inner voice/wisdom/inner being. Our era is shifting dramatically. As our Astral/Matrix/Lower Realms are crashing; They are out of date vs 5D Life.
We will catch trickster
energies detouring us.
(See Presentation for all sections, THX AGAIN.)
Adam Grant: Transforming Work Culture Through Organizational PsychologyPrachi Shah
This presentation explores the groundbreaking work of Adam Grant, renowned organizational psychologist and bestselling author. It highlights his key theories on giving, motivation, leadership, and workplace dynamics that have revolutionized how organizations think about productivity, collaboration, and employee well-being. Ideal for students, HR professionals, and leadership enthusiasts, this deck includes insights from his major works like Give and Take, Originals, and Think Again, along with interactive elements for enhanced engagement.
POS Reporting in Odoo 18 - Odoo 18 SlidesCeline George
To view all the available reports in Point of Sale, navigate to Point of Sale > Reporting. In this section, you will find detailed reports such as the Orders Report, Sales Details Report, and Session Report, as shown below.
Artificial intelligence Presented by JM.jmansha170
AI (Artificial Intelligence) :
"AI is the ability of machines to mimic human intelligence, such as learning, decision-making, and problem-solving."
Important Points about AI:
1. Learning – AI can learn from data (Machine Learning).
2. Automation – It helps automate repetitive tasks.
3. Decision Making – AI can analyze and make decisions faster than humans.
4. Natural Language Processing (NLP) – AI can understand and generate human language.
5. Vision & Recognition – AI can recognize images, faces, and patterns.
6. Used In – Healthcare, finance, robotics, education, and more.
Owner By:
Name : Junaid Mansha
Work : Web Developer and Graphics Designer
Contact us : +92 322 2291672
Email : [email protected]
4. The Point Class
class MyFirstClass:
pass
# END Class
“move along, nothing
to see here”
5. The Point Class
class MyFirstClass:
pass
# END Class
class <ClassName>:
<Do stuff>
# END Class
6. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
7. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
8. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
9. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
10. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
11. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
12. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
13. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
14. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
19. The Point Class
p1.x = 5
p1.y = 4
p2.x = 3
p2.y = 6
print("P1-x, P1-y is: ", p1.x, p1.y);
print("P2-x, P2-y is: ", p2.x, p2.y);
20. The Point Class
p1.x = 5
p1.y = 4
p2.x = 3
p2.y = 6
print("P1-x, P1-y is: ", p1.x, p1.y);
print("P2-x, P2-y is: ", p2.x, p2.y);
Adding Attributes:
This is all you need to
do, just declare them
21. Python: Object Attributes
• In Python the general form of declaring an attribute is as
follows (we call this dot notation):
OBJECT. ATTRIBUTE = VALUE
29. The Point Class
p = Point()
p.x = 5
p.y = 4
print("P-x, P-y is: ", p.x, p.y);
p.reset()
print("P-x, P-y is: ", p.x, p.y);
30. The Point Class
p = Point()
p.x = 5
p.y = 4
print("P-x, P-y is: ", p.x, p.y);
p.reset()
print("P-x, P-y is: ", p.x, p.y);
31. The Point Class
p = Point()
p.x = 5
p.y = 4
print("P-x, P-y is: ", p.x, p.y);
p.reset()
print("P-x, P-y is: ", p.x, p.y);
We can also say:
Point.reset(p)
33. The Point Class
class Point:
def reset(self):
self.x = 0
self.y = 0
# END Reset
# END Class
34. The Point Class
• We can do this in a slightly different way, as follows:
35. The Point Class
class Point:
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
36. The Point Class
class Point:
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
Declare a new method
called “move” that writes
values into the object.
37. The Point Class
class Point:
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
Declare a new method
called “move” that writes
values into the object.
Move the values 0 and 0
into the class to reset.
39. The Point Class
• The distance between two points is:
d
d = √(x2 – x1)2 + (y2 – y1) 2
d = √(6 – 2)2 + (5 – 2) 2
d = √(4)2 + (3)2
d = √16 + 9
d = √25
d = 5
43. The Point Class
import math
class Point:
def calc_distance(self, other_point):
return math.sqrt(
(self.x – other_point.x)**2 +
(self.y – other_point.y)**2)
# END calc_distance
# END Class d = √(x2 – x1)2 + (y2 – y1)2
45. The Point Class
p1 = Point()
p2 = Point()
p1.move(2,2)
p2.move(6,5)
print("P1-x, P1-y is: ", p1.x, p1.y)
print("P2-x, P2-y is: ", p2.x, p2.y)
print("Distance from P1 to P2 is:", p1.calc_distance(p2))
p1
p2
52. Initialising an Object
• So what can we do?
• We need to create a method that forces the programmers to
initialize the attributes of the class to some starting value, just
so that we don’t have this problem.
53. Initialising an Object
• So what can we do?
• We need to create a method that forces the programmers to
initialize the attributes of the class to some starting value, just
so that we don’t have this problem.
• This is called an initialization method.
54. Initialising an Object
• Python has a special name it uses for initialization methods.
_ _ init _ _()
56. Initialising an Object
class Point:
def __init__(self,x,y):
self.move(x,y)
# END Init
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
When you create an object from
this class, you are going to have to
declare initial values for X and Y.
57. Initialising an Object
• So without the initialization method we could do this:
– p1 = Point()
– p2 = Point()
• but with the initialization method we have to do this:
– p1 = Point(6,5)
– p2 = Point(2,2)
59. Initialising an Object
• And if we forget to include the values, what happens?
Traceback (most recent call last):
File "C:/Users/damian.gordon/AppData/Local/
Programs/Python/Python35-32/Point-init.py", line
21, in <module>
p = Point()
TypeError: __init__() missing 2 required
positional arguments: 'x' and 'y'
64. Initialising an Object
• And then we can do:
– p1 = Point()
– p2 = Point(2,2)
If we don’t supply any values, the
initialization method will set the
values to 0,0.
65. Initialising an Object
• And then we can do:
– p1 = Point()
– p2 = Point(2,2)
If we don’t supply any values, the
initialization method will set the
values to 0,0.
But we can also supply the values,
and the object is created with these
default values.
67. Documenting the Methods
• Python is considered one of the most easy
programming languages, but nonetheless a vital part
of object-orientated programming is to explain what
each class and method does to help promote object
reuse.
68. Documenting the Methods
• Python supports this through the use of
docstrings.
• These are strings enclosed in either quotes(‘) or
doublequotes(“) just after the class or method
declaration.
69. Documenting the Methods
class Point:
“Represents a point in 2D space”
def __init__(self,x,y):
‘Initialise the position of a new point’
self.move(x,y)
# END Init
70. Documenting the Methods
def move(self,a,b):
‘Move the point to a new location’
self.x = a
self.y = b
# END Move
def reset(self):
‘Reset the point back to the origin’
self.move(0,0)
# END Reset
72. Initialising an Object
• And you’ll get:
Help on class Point in module __main__:
class Point(builtins.object)
| Represents a point in 2D space
|
| Methods defined here:
|
| calc_distance(self, other_point)
| Get the distance between two points
|
| move(self, a, b)
| Move the point to a new location
|
| reset(self)
| Reset the point back to the origin
| ----------------------------------------------