Data Structure Introduction
Data Structure Definition
Data Structure Types
Data Structure Characteristics
Need for Data Structure
Stack Definition
Stack Representation
Stack Operations
Stack Algorithm
Program for Stack in C++
Linked List Definition
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
Linked List Defination
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
Friend functions and classes allow non-member functions or other classes to access the private and protected members of a class. A friend function is defined outside the class but has access to private members, and can be used when two classes need to access each other's private data. A class can declare another class as a friend, making all of its member functions friends. This allows them access to the private members of the other class. Friendship violates encapsulation but is useful when two classes are tightly coupled.
Deals with CSV Files operations in Pandas like reading, writing, performing joins and other operations in python using dataframes and Series in Pandas.
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
The document discusses file management in C. It defines a file as a collection of related data treated as a single unit by computers. C uses the FILE structure to store file attributes. The document outlines opening, reading, writing and closing files in C using functions like fopen(), fclose(), fread(), fwrite(), fseek(), ftell() and handling errors. It also discusses reading/writing characters using getc()/putc() and integers using getw()/putw() as well as formatted input/output with fscanf() and fprintf(). Random access to files using fseek() is also covered.
This document discusses C++ streams and stream classes. It explains that streams represent the flow of data in C++ programs and are controlled using classes. The key classes are istream for input, ostream for output, and fstream for file input/output. It provides examples of reading from and writing to files using fstream, and describes various stream manipulators like endl. The document also discusses the filebuf and streambuf base classes that perform low-level input/output operations.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
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# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
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This document discusses methods in C#, including how they are declared, invoked, and used. It covers key concepts like the main method, passing parameters by value and reference, output parameters, variable argument lists, and method overloading. Methods are declared inside classes and give objects their behavioral characteristics by allowing processing of data and responses to messages from other objects. The main method is the starting point of all C# programs and must be static. Parameters can be passed by value or reference, and output parameters pass results back using the out keyword. Variable argument lists use params arrays, and overloading methods have the same name but different parameters.
Data Structure Introduction
Data Structure Definition
Data Structure Types
Data Structure Characteristics
Need for Data Structure
Stack Definition
Stack Representation
Stack Operations
Stack Algorithm
Program for Stack in C++
Linked List Definition
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
Linked List Defination
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
Friend functions and classes allow non-member functions or other classes to access the private and protected members of a class. A friend function is defined outside the class but has access to private members, and can be used when two classes need to access each other's private data. A class can declare another class as a friend, making all of its member functions friends. This allows them access to the private members of the other class. Friendship violates encapsulation but is useful when two classes are tightly coupled.
Deals with CSV Files operations in Pandas like reading, writing, performing joins and other operations in python using dataframes and Series in Pandas.
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
The document discusses file management in C. It defines a file as a collection of related data treated as a single unit by computers. C uses the FILE structure to store file attributes. The document outlines opening, reading, writing and closing files in C using functions like fopen(), fclose(), fread(), fwrite(), fseek(), ftell() and handling errors. It also discusses reading/writing characters using getc()/putc() and integers using getw()/putw() as well as formatted input/output with fscanf() and fprintf(). Random access to files using fseek() is also covered.
This document discusses C++ streams and stream classes. It explains that streams represent the flow of data in C++ programs and are controlled using classes. The key classes are istream for input, ostream for output, and fstream for file input/output. It provides examples of reading from and writing to files using fstream, and describes various stream manipulators like endl. The document also discusses the filebuf and streambuf base classes that perform low-level input/output operations.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
This document discusses methods in C#, including how they are declared, invoked, and used. It covers key concepts like the main method, passing parameters by value and reference, output parameters, variable argument lists, and method overloading. Methods are declared inside classes and give objects their behavioral characteristics by allowing processing of data and responses to messages from other objects. The main method is the starting point of all C# programs and must be static. Parameters can be passed by value or reference, and output parameters pass results back using the out keyword. Variable argument lists use params arrays, and overloading methods have the same name but different parameters.
Constructors and destructors are special member functions in C++ that are used to initialize objects and perform cleanup operations. There are different types of constructors - default, parameterized, and copy constructors. Constructors are called automatically when an object is created, while destructors are called when an object is destroyed or goes out of scope. Constructors initialize objects, while destructors perform cleanup tasks like deallocating memory. Overloading of constructors allows defining multiple constructors that differ in parameters.
This document discusses object-oriented programming concepts like inheritance, polymorphism, overloading, and overriding. It provides examples of inheritance hierarchies for different types of birds. Inheritance allows subclasses to inherit attributes and methods from parent classes. Polymorphism means an object can have different implementations of the same method depending on its type. Overloading and overriding relate to creating multiple methods with the same name that differ in parameters or implementation.
This document discusses the key concepts of object-oriented programming (OOP). It covers the basic features of OOP like emphasis on data over procedures, dividing programs into objects, and defining data structures to characterize objects. It also discusses important OOP concepts like classes, encapsulation, inheritance, polymorphism, and dynamic binding. The document provides examples to illustrate these concepts and highlights benefits of the OOP paradigm like code reusability and modularity.
The document discusses C programming functions. It provides examples of defining, calling, and using functions to calculate factorials, Fibonacci sequences, HCF and LCM recursively and iteratively. Functions allow breaking programs into smaller, reusable blocks of code. They take in parameters, can return values, and have local scope. Function prototypes declare their interface so they can be called from other code locations.
This document provides an overview of exceptions in Python. It discusses that Python uses exceptions to communicate errors and anomalies. The try statement provides Python's exception handling mechanism and can have a try clause followed by except or finally clauses. Built-in exception classes that are subclasses of Exception include AttributeError, EnvironmentError, ImportError, LookupError, NameError, SyntaxError, and others. The document provides an example of using try, except, and finally clauses to handle exceptions occurring when connecting to a database and committing an INSERT statement. It was presented by Shameena V as part of a mentoring program through Baabtra-Mentoring Partner.
This document discusses passing objects as parameters and returning objects from member functions in C++.
It provides an example class "Travel" that holds kilometers and hours traveled as data members. Member functions get() and show() are used to input and output travel details for individual objects.
The add() member function takes another Travel object as a parameter, adds the kilometers and hours, and returns a new Travel object with the total. This demonstrates that objects can be passed as parameters like other variables, and member functions can return objects of the same class type.
Pandas is an open source Python library that provides data structures and data analysis tools for working with tabular data. It allows users to easily perform operations on different types of data such as tabular, time series, and matrix data. Pandas provides data structures like Series for 1D data and DataFrame for 2D data. It has tools for data cleaning, transformation, manipulation, and visualization of data.
1) A friend function allows access to private and protected members of a class. It is declared inside the class using the keyword "friend".
2) A friend function is not a member function - it is defined outside of the class and does not have access to non-static members using the class object. However, it can access private and protected members of the class.
3) In the example, the Temperature class declares the temp function as a friend. This allows temp to directly access and modify the private celsius member, something that regular non-member functions cannot do. The friend declaration gives temp special access privileges.
The document discusses file input/output in C++. It covers the header file fstream.h, stream classes like ifstream and ofstream for file input/output, opening and closing files, reading/writing characters and objects to files, detecting end of file, moving file pointers for random access, and handling errors. Functions like open(), close(), get(), put(), read(), write(), seekg(), seekp(), tellg(), tellp(), eof(), fail(), bad(), good(), and clear() are described.
Dynamic memory allocation allows programs to request memory from the operating system at runtime. This memory is allocated on the heap. Functions like malloc(), calloc(), and realloc() are used to allocate and reallocate dynamic memory, while free() releases it. Malloc allocates a single block of uninitialized memory. Calloc allocates multiple blocks of initialized (zeroed) memory. Realloc changes the size of previously allocated memory. Proper use of these functions avoids memory leaks.
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
This document discusses data visualization tools in Python. It introduces Matplotlib as the first and still standard Python visualization tool. It also covers Seaborn which builds on Matplotlib, Bokeh for interactive visualizations, HoloViews as a higher-level wrapper for Bokeh, and Datashader for big data visualization. Additional tools discussed include Folium for maps, and yt for volumetric data visualization. The document concludes that Python is well-suited for data science and visualization with many options available.
A file is a collection of related data that a computer treats as a single unit. Files allow data to be stored permanently even when the computer is shut down. C uses the FILE structure to store attributes of a file. Files allow for flexible data storage and retrieval of large data volumes like experimental results. Key file operations in C include opening, reading, writing, and closing files. Functions like fopen(), fread(), fwrite(), fclose() perform these operations.
This document discusses classes and objects in C++. It defines a class as a user-defined data type that implements an abstract object by combining data members and member functions. Data members are called data fields and member functions are called methods. An abstract data type separates logical properties from implementation details and supports data abstraction, encapsulation, and hiding. Common examples of abstract data types include Boolean, integer, array, stack, queue, and tree structures. The document goes on to describe class definitions, access specifiers, static members, and how to define and access class members and methods.
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.
The document discusses file handling in C++. It explains that files are used to store data permanently on storage devices like hard disks, while variables are stored temporarily in memory. It then describes C++ streams and classes used for file input and output like ifstream, ofstream, and fstream. It also covers opening, closing, reading from and writing to files, as well as checking file pointers and seeking to different positions in a file.
Static member functions can be accessed without creating an object of the class. They are used to access static data members, which are shared by all objects of a class rather than each object having its own copy. The examples show declaring a static data member n and static member function show() that prints n. show() is called through the class name without an object. Each object creation in the constructor increments n, and show() prints the updated count.
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.
Constructors and destructors are special member functions in C++ that are used to initialize objects and perform cleanup operations. There are different types of constructors - default, parameterized, and copy constructors. Constructors are called automatically when an object is created, while destructors are called when an object is destroyed or goes out of scope. Constructors initialize objects, while destructors perform cleanup tasks like deallocating memory. Overloading of constructors allows defining multiple constructors that differ in parameters.
This document discusses object-oriented programming concepts like inheritance, polymorphism, overloading, and overriding. It provides examples of inheritance hierarchies for different types of birds. Inheritance allows subclasses to inherit attributes and methods from parent classes. Polymorphism means an object can have different implementations of the same method depending on its type. Overloading and overriding relate to creating multiple methods with the same name that differ in parameters or implementation.
This document discusses the key concepts of object-oriented programming (OOP). It covers the basic features of OOP like emphasis on data over procedures, dividing programs into objects, and defining data structures to characterize objects. It also discusses important OOP concepts like classes, encapsulation, inheritance, polymorphism, and dynamic binding. The document provides examples to illustrate these concepts and highlights benefits of the OOP paradigm like code reusability and modularity.
The document discusses C programming functions. It provides examples of defining, calling, and using functions to calculate factorials, Fibonacci sequences, HCF and LCM recursively and iteratively. Functions allow breaking programs into smaller, reusable blocks of code. They take in parameters, can return values, and have local scope. Function prototypes declare their interface so they can be called from other code locations.
This document provides an overview of exceptions in Python. It discusses that Python uses exceptions to communicate errors and anomalies. The try statement provides Python's exception handling mechanism and can have a try clause followed by except or finally clauses. Built-in exception classes that are subclasses of Exception include AttributeError, EnvironmentError, ImportError, LookupError, NameError, SyntaxError, and others. The document provides an example of using try, except, and finally clauses to handle exceptions occurring when connecting to a database and committing an INSERT statement. It was presented by Shameena V as part of a mentoring program through Baabtra-Mentoring Partner.
This document discusses passing objects as parameters and returning objects from member functions in C++.
It provides an example class "Travel" that holds kilometers and hours traveled as data members. Member functions get() and show() are used to input and output travel details for individual objects.
The add() member function takes another Travel object as a parameter, adds the kilometers and hours, and returns a new Travel object with the total. This demonstrates that objects can be passed as parameters like other variables, and member functions can return objects of the same class type.
Pandas is an open source Python library that provides data structures and data analysis tools for working with tabular data. It allows users to easily perform operations on different types of data such as tabular, time series, and matrix data. Pandas provides data structures like Series for 1D data and DataFrame for 2D data. It has tools for data cleaning, transformation, manipulation, and visualization of data.
1) A friend function allows access to private and protected members of a class. It is declared inside the class using the keyword "friend".
2) A friend function is not a member function - it is defined outside of the class and does not have access to non-static members using the class object. However, it can access private and protected members of the class.
3) In the example, the Temperature class declares the temp function as a friend. This allows temp to directly access and modify the private celsius member, something that regular non-member functions cannot do. The friend declaration gives temp special access privileges.
The document discusses file input/output in C++. It covers the header file fstream.h, stream classes like ifstream and ofstream for file input/output, opening and closing files, reading/writing characters and objects to files, detecting end of file, moving file pointers for random access, and handling errors. Functions like open(), close(), get(), put(), read(), write(), seekg(), seekp(), tellg(), tellp(), eof(), fail(), bad(), good(), and clear() are described.
Dynamic memory allocation allows programs to request memory from the operating system at runtime. This memory is allocated on the heap. Functions like malloc(), calloc(), and realloc() are used to allocate and reallocate dynamic memory, while free() releases it. Malloc allocates a single block of uninitialized memory. Calloc allocates multiple blocks of initialized (zeroed) memory. Realloc changes the size of previously allocated memory. Proper use of these functions avoids memory leaks.
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
This document discusses data visualization tools in Python. It introduces Matplotlib as the first and still standard Python visualization tool. It also covers Seaborn which builds on Matplotlib, Bokeh for interactive visualizations, HoloViews as a higher-level wrapper for Bokeh, and Datashader for big data visualization. Additional tools discussed include Folium for maps, and yt for volumetric data visualization. The document concludes that Python is well-suited for data science and visualization with many options available.
A file is a collection of related data that a computer treats as a single unit. Files allow data to be stored permanently even when the computer is shut down. C uses the FILE structure to store attributes of a file. Files allow for flexible data storage and retrieval of large data volumes like experimental results. Key file operations in C include opening, reading, writing, and closing files. Functions like fopen(), fread(), fwrite(), fclose() perform these operations.
This document discusses classes and objects in C++. It defines a class as a user-defined data type that implements an abstract object by combining data members and member functions. Data members are called data fields and member functions are called methods. An abstract data type separates logical properties from implementation details and supports data abstraction, encapsulation, and hiding. Common examples of abstract data types include Boolean, integer, array, stack, queue, and tree structures. The document goes on to describe class definitions, access specifiers, static members, and how to define and access class members and methods.
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.
The document discusses file handling in C++. It explains that files are used to store data permanently on storage devices like hard disks, while variables are stored temporarily in memory. It then describes C++ streams and classes used for file input and output like ifstream, ofstream, and fstream. It also covers opening, closing, reading from and writing to files, as well as checking file pointers and seeking to different positions in a file.
Static member functions can be accessed without creating an object of the class. They are used to access static data members, which are shared by all objects of a class rather than each object having its own copy. The examples show declaring a static data member n and static member function show() that prints n. show() is called through the class name without an object. Each object creation in the constructor increments n, and show() prints the updated count.
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.
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.
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 __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.
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 introduces valid_model, a Python library for declarative data modeling. It allows defining data models using descriptors to specify data types and validation rules. This provides strict typing while remaining unopinionated about persistence. Custom descriptors can extend the library's functionality. The library aims to enable use cases like database modeling, form validation, and API request/response objects.
The Ring programming language version 1.5.2 book - Part 37 of 181Mahmoud Samir Fayed
This document discusses using the Ring programming language to create natural language programs based on classes and objects. It provides an example of defining classes to represent the natural language instructions "I want window" and "Window title =". The example shows how objects can execute code for each instruction. The document also discusses changing the Ring keyword "and" to avoid conflicts when parsing natural language statements. In summary, this document demonstrates how Ring allows programmers to build natural language interfaces by defining classes for natural language statements.
The document discusses key concepts of object-oriented programming such as classes, objects, encapsulation, inheritance, and polymorphism. It provides examples of defining a Point class in Python with methods like translate() and distance() as well as using concepts like constructors, private and protected members, and naming conventions using underscores. The document serves as an introduction to object-oriented programming principles and their implementation in Python.
The Ring programming language version 1.5.4 book - Part 38 of 185Mahmoud Samir Fayed
This document discusses using nested structures and declarative programming in Ring. It provides examples of:
1. Creating objects inside lists and adding objects to lists.
2. Returning objects and lists by reference when used as attributes or returned from functions.
3. Executing code after accessing an object using braces {} by defining a BraceEnd() method.
4. Building a declarative programming environment in Ring using nested structures, object access with braces, returning objects by reference, and optional setter/getter methods.
This document discusses several Java programming concepts including nested classes, object parameters, recursion, and command line arguments. Nested classes allow a class to be declared within another class and access private members of the outer class. Objects can be passed as parameters to methods, allowing the method to modify the object's fields. Recursion is when a method calls itself, such as a recursive method to calculate factorials. Command line arguments allow passing input to a program when running it from the command line.
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
Ever seen a code base where understanding a simple method meant jumping through tangled class hierarchies? We all have! And while "Favor composition over inheritance!" is almost as old as object-oriented programming, strictly avoiding all types of subclassing leads to verbose, un-Pythonic code. So, what to do?
The discussion on composition vs. inheritance is so frustrating because far-reaching design decisions like this can only be made with the ecosystem in mind – and because there's more than one type of subclassing!
Let's take a dogma-free stroll through the types of subclassing through a Pythonic lens and untangle some patterns and trade-offs together. By the end, you'll be more confident in deciding when subclassing will make your code more Pythonic and when composition will improve its clarity.
This document discusses key concepts of object-oriented programming (OOP) such as classes, objects, encapsulation, abstraction, inheritance, polymorphism, and more. It begins by defining a class as a blueprint for creating object instances. An object contains both data fields (also called attributes or properties) and methods to manipulate that data. Encapsulation binds the data to the methods that operate on it, while abstraction hides unnecessary implementation details. The document also covers constructors, destructors, access specifiers, and static members in classes.
The Ring programming language version 1.6 book - Part 40 of 189Mahmoud Samir Fayed
This document provides documentation on the Ring programming language and demonstrates how to perform various tasks.
It introduces the security and internet classes, showing how to encrypt/decrypt strings and download web pages. Methods of the security class like md5, sha1, sha256 are demonstrated.
The document then discusses declarative programming using nested structures. It shows how to create objects inside lists, compose objects as attributes, and return objects by reference. Executing code after object access via a BraceEnd() method is also demonstrated. Finally, declarative programming on top of object-oriented programming in Ring is presented.
This document provides an introduction to the Python programming language. It covers basic Python concepts like data types, strings, data structures, classes, methods, exceptions, iterations, generators, and scopes. Python is described as an easy to learn, read, and use dynamic language with a large selection of stable libraries. It is presented as being much easier than bash scripts for building and maintaining complex system infrastructure.
Object Trampoline: Why having not the object you want is what you need.Workhorse Computing
Overview of Trampoline Objects in Perl with examples for lazy construction, lazy module use, added sanity checks. This version includes corrections from the original presented at OSCON 2013 and comments.
The document discusses various advanced Python concepts including classes, exception handling, generators, CGI, databases, Tkinter for GUI, regular expressions, and email sending using SMTP. It covers object-oriented programming principles like inheritance, encapsulation, and polymorphism in Python. Specific Python concepts like creating and accessing class attributes, instantiating objects, method overloading, operator overloading, and inheritance are explained through examples. The document also discusses generator functions and expressions for creating iterators in Python in a memory efficient way.
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 overview of the Python programming language. It begins with an introduction to why Python is a good choice. It then outlines a tutorial on Python's basic types like numbers, strings, lists, dictionaries, variables, control structures, functions, classes, modules, exceptions, and files. It encourages downloading the latest Python version and using the interactive shell or IDLE to experiment. The bulk of the document then provides details on Python's core concepts like numbers, strings, lists, dictionaries, tuples, variables, control structures, functions, classes, modules, exceptions, and files. It concludes by discussing new features in Python 2.0 and 2.1.
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.
The document discusses object-oriented programming in Python. It defines key OOP concepts like classes, objects, and methods. It provides examples of defining classes and methods in Python. It also covers inheritance, polymorphism, and data abstraction in OOP. Database programming in Python is also discussed, including connecting to databases and performing CRUD operations using the Python DB API.
Universal Design for Learning, Co-Designing with Students.Damian T. Gordon
The document discusses Universal Design for Learning (UDL) and how to co-design educational experiences with students. It presents UDL using a systems model of inputs, processes, and outputs similar to human perception, cognition, and motor skills. Examples of how instructors can involve students in co-designing their educational experience are provided, such as allowing choice in content or activities, creating accessible materials in multiple formats, and developing self-assessment tools. The goal is to incorporate student feedback to create more inclusive and engaging learning experiences.
The document discusses microservices, providing examples and characteristics. Microservices are small, independent services that each perform a specific task and communicate through lightweight protocols. They allow for scalability, flexibility and organic development. However, microservices also introduce more complexity, communication issues and challenges in management and testing across distributed systems. When designing microservices, the appropriate level of granularity must be determined to balance functionality and performance. [/SUMMARY]
Representational State Transfer (REST) is an architectural style where resources are accessed via standard HTTP methods like GET, POST, PUT, and DELETE. Resources can represent both concrete state like a database record or abstract state like a service element. REST services expose resources through a uniform interface and are stateless, cacheable, and layered.
This document discusses three stages of cloud adoption and serverless computing. It describes the stages as: 1) "Try It Out" where organizations migrate workloads to the cloud without significant changes, 2) "The Cloud Way" where organizations embrace cloud-native design and leverage more cloud services, and 3) "Serverless Computing" where organizations build using functions and server management is abstracted away. It outlines benefits of serverless like automatic scaling, faster deployment, and lower costs, but also weaknesses like vendor lock-in, loss of server control, and challenges with state management. The future of serverless computing is uncertain but it is likely the trend towards more abstraction and vendor control will continue.
This document discusses identity management and security in cloud computing. It covers key topics such as:
- Centralized identity management provides benefits like a single user identity, consistent security policies, and reduced costs.
- Authentication establishes a user's identity through credentials. Popular methods include JSON web tokens (JWTs) which use digital signatures to authenticate API requests without authenticating each one individually.
- JWTs work by having a client authenticate once to get a token, then include that token in subsequent requests to prove identity without further authentication. The token contains identity claims and is digitally signed by an authentication authority.
This document discusses containers and Docker. It begins by explaining that cloud infrastructures comprise virtual resources like compute and storage nodes that are administered through software. Docker is introduced as a standard way to package code and dependencies into portable containers that can run anywhere. Key benefits of Docker include increased efficiency, consistency, and security compared to traditional virtual machines. Some weaknesses are that Docker may not be suitable for all applications and large container management can be difficult. Interesting uses of Docker include malware analysis sandboxes, isolating Skype sessions, and managing Raspberry Pi clusters with Docker Swarm.
Cloud computing provides on-demand access to shared computing resources via the internet on a pay-per-use basis. It offers several benefits including simplified customer acquisition, elastic demand that scales with usage, and utility pricing where customers only pay for what they use. However, security, lack of standardization, and unclear legal responsibilities if a provider fails present challenges. Cloud computing impacts businesses by challenging traditional IT practices and acting as either a disruptive innovation or additional outsourcing option.
ChatGPT is an AI chatbot created by Anthropic to be helpful, harmless, and honest. It uses a transformer algorithm trained on millions of text conversations to identify patterns and relationships between words. While ChatGPT appears intelligent in its responses, it does not truly understand language and can be fooled. Several tools like GPT-ZERO exist to detect ChatGPT responses with high accuracy, but its answers can be modified to evade detection. The document recommends assignment designs that require skills beyond ChatGPT's abilities, like judgment, current events, group work, or multimedia submissions.
This document provides an introduction to argumentation and logical reasoning. It discusses how to justify beliefs by presenting evidence and explores different types of arguments. Some key points:
- Evidence such as facts, documentation, and expert testimony can be used to justify beliefs and claims. The person making a claim has the burden of proof.
- Arguments follow basic logical rules like identity, non-contradiction, and excluded middle. They involve presenting a claim, evidence for the claim, and accepting or rejecting the claim.
- Common logical fallacies that invalidate arguments are discussed, like appeals to probability, false equivalences, and slippery slopes. Different types of arguments like deductive and inductive are also introduced.
Evaluating Teaching: SECTIONS.
Check out:
Bates, A. W., & Poole, G. (2003). Effective Teaching with Technology in Higher Education: Foundations for Success. Jossey-Bass, An Imprint of Wiley. 10475 Crosspoint Blvd, Indianapolis, IN 46256.
The document outlines the three stages that are evaluated for educational software in the MERLOT Model:
1. Quality of Content - Evaluates whether the concepts, models and skills presented are valid and educationally significant for the discipline. Content should be core curriculum that is difficult to teach and learn.
2. Potential Effectiveness as a Teaching-Learning Tool - Evaluates if the software is likely to improve teaching and learning based on how faculty and students could use it. It should support multiple stages of the learning process and have clear learning objectives tailored for the target learners.
3. Ease of Use - Evaluates how easy it is for users to use the software for the first time. It should
Evaluating Teaching: Anstey and Watson Rubric
Check out:
Lauren M. Anstey & Gavan P.L. Watson. (2018), Rubric for eLearning Tool Evaluation. Centre for Teaching and Learning, Western University,
http://creativecommons.org/licenses/by-n c-sa/4.0/
The document outlines 9 stages of the LORI model for evaluating educational technologies. The stages include evaluating the content quality, alignment of learning goals, ability to provide adaptive feedback, motivation of learners, design of visual and auditory presentations, ease of navigation and interface usability, accommodation of disabled learners, reusability across contexts, and compliance with international standards.
Designing Teaching: ASSURE
Check out:
Heinich, R., Molenda, M., & Russell, J. D., (1993). Instructional Media and The New
Technologies of Instruction. New York: Macmillan
Designing Teaching: Laurilliard's Learning TypesDamian T. Gordon
Designing Teaching: Laurilliard's Learning Types
Check out:
Laurillard, D., 2013. Teaching as a design science: Building pedagogical patterns for learning and technology. Routledge.
Designing Teaching: Elaboration Theory
Check out:
Reigeluth, C. & Stein, F. (1983). The elaboration theory of instruction. In C. Reigeluth (ed.), Instructional Design Theories and Models. Hillsdale, NJ: Erlbaum Associates.
Universally Designed Learning Spaces: Some ConsiderationsDamian T. Gordon
This document discusses creating inclusive learning environments in higher education. It provides an overview of universal design principles and how they can be applied to different learning spaces on a university campus. The document outlines a process for applying universal design that involves identifying best practices, considering user diversity, merging with universal design models, planning accommodations, and getting feedback. It notes common reasons for reluctance to universal design and provides examples of accessibility features for physical spaces.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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
| ----------------------------------------------