A linked list is a series of nodes where each node contains data and a pointer to the next node. Each node is a separate allocation of memory containing the data and a link/pointer to the next node. Common operations on linked lists include adding nodes, removing nodes, counting nodes, traversing the list, and sorting the data. Linked lists allow for efficient insertion/removal of nodes compared to arrays but are slower to access individual elements.
GE8151 Problem Solving and Python ProgrammingMuthu Vinayagam
The document provides information about various Python concepts like print statement, variables, data types, operators, conditional statements, loops, functions, modules, exceptions, files and packages. It explains print statement syntax, how variables work in Python, built-in data types like numbers, strings, lists, dictionaries and tuples. It also discusses conditional statements like if-else, loops like while and for, functions, modules, exceptions, file handling operations and packages in Python.
String literals in python are surrounded by either single quotation marks, or double quotation marks. Strings can be output to screen using the print function. For example: print("hello"). Like many other popular programming languages, strings in Python are arrays of bytes representing unicode characters.
Some parts of our applications don't need to be asynchronous or interact with the outside world: it's enough that they are stateful, possibly with the ability to handle failure, context, and logging. Although you can use ZIO 2 or monad transformers for this task, both come with drawbacks. In this presentation, Jorge Vásquez will introduce you to ZPure, a data type from ZIO Prelude, which lets you scale back on the power of ZIO 2, but with the same high-performance, type-inference, and ergonomics you expect from ZIO 2 libraries.
The document discusses the C++ Standard Template Library (STL). It provides an overview of STL containers, algorithms, iterators and how to access STL components. The main STL containers include vectors, lists, stacks, queues, priority queues, sets, multisets, maps and multimaps. Common operations on containers like insertion, deletion and traversal are also covered along with examples of how to declare and use iterators to access container elements.
Scientific Computing with Python - NumPy | WeiYuanWei-Yuan Chang
This document provides an overview of NumPy, the fundamental package for scientific computing in Python. It discusses NumPy's powerful N-dimensional array object and sophisticated broadcasting functions. The document outlines topics including Ndarray, creating and manipulating arrays, array properties, basic operations, matrices, and advanced usages like boolean indexing and masking. NumPy allows efficient storage and manipulation of multi-dimensional data, and integration with languages like C/C++ and Fortran.
The document discusses the Standard Template Library (STL) which provides common classes and functions for C++ programs. It has three main components: (1) containers which store and organize data, (2) algorithms which perform operations on data in containers, and (3) iterators which are used by algorithms to access elements in containers. Some common STL containers include vectors for sequential data, sets and maps for associative data, and queues and stacks as container adaptors.
This document discusses string handling in C++. It defines a string as a collection of characters written in double quotation marks. Strings can be declared and initialized similarly to character arrays. The cin object and cin.getline() function can be used to input strings with or without spaces. Arrays of strings are two-dimensional character arrays that store multiple strings. Common string functions include memcpy() to copy characters, strcmp() to compare strings, strcpy() to copy one string to another, strlen() to find the length of a string, and strcat() to concatenate two strings.
A linked list is a series of nodes where each node contains data and a pointer to the next node. Each node is a separate allocation of memory containing the data and a link/pointer to the next node. Common operations on linked lists include adding nodes, removing nodes, counting nodes, traversing the list, and sorting the data. Linked lists allow for efficient insertion/removal of nodes compared to arrays but are slower to access individual elements.
GE8151 Problem Solving and Python ProgrammingMuthu Vinayagam
The document provides information about various Python concepts like print statement, variables, data types, operators, conditional statements, loops, functions, modules, exceptions, files and packages. It explains print statement syntax, how variables work in Python, built-in data types like numbers, strings, lists, dictionaries and tuples. It also discusses conditional statements like if-else, loops like while and for, functions, modules, exceptions, file handling operations and packages in Python.
String literals in python are surrounded by either single quotation marks, or double quotation marks. Strings can be output to screen using the print function. For example: print("hello"). Like many other popular programming languages, strings in Python are arrays of bytes representing unicode characters.
Some parts of our applications don't need to be asynchronous or interact with the outside world: it's enough that they are stateful, possibly with the ability to handle failure, context, and logging. Although you can use ZIO 2 or monad transformers for this task, both come with drawbacks. In this presentation, Jorge Vásquez will introduce you to ZPure, a data type from ZIO Prelude, which lets you scale back on the power of ZIO 2, but with the same high-performance, type-inference, and ergonomics you expect from ZIO 2 libraries.
The document discusses the C++ Standard Template Library (STL). It provides an overview of STL containers, algorithms, iterators and how to access STL components. The main STL containers include vectors, lists, stacks, queues, priority queues, sets, multisets, maps and multimaps. Common operations on containers like insertion, deletion and traversal are also covered along with examples of how to declare and use iterators to access container elements.
Scientific Computing with Python - NumPy | WeiYuanWei-Yuan Chang
This document provides an overview of NumPy, the fundamental package for scientific computing in Python. It discusses NumPy's powerful N-dimensional array object and sophisticated broadcasting functions. The document outlines topics including Ndarray, creating and manipulating arrays, array properties, basic operations, matrices, and advanced usages like boolean indexing and masking. NumPy allows efficient storage and manipulation of multi-dimensional data, and integration with languages like C/C++ and Fortran.
The document discusses the Standard Template Library (STL) which provides common classes and functions for C++ programs. It has three main components: (1) containers which store and organize data, (2) algorithms which perform operations on data in containers, and (3) iterators which are used by algorithms to access elements in containers. Some common STL containers include vectors for sequential data, sets and maps for associative data, and queues and stacks as container adaptors.
This document discusses string handling in C++. It defines a string as a collection of characters written in double quotation marks. Strings can be declared and initialized similarly to character arrays. The cin object and cin.getline() function can be used to input strings with or without spaces. Arrays of strings are two-dimensional character arrays that store multiple strings. Common string functions include memcpy() to copy characters, strcmp() to compare strings, strcpy() to copy one string to another, strlen() to find the length of a string, and strcat() to concatenate two strings.
Java uses streams to handle input/output operations. Streams provide a standardized way to read from and write to various sources and sinks like files, networks, and buffers. There are byte streams that handle input/output of bytes and character streams that handle characters. Common stream classes include FileInputStream, FileOutputStream, BufferedReader, and BufferedWriter which are used to read from and write to files and console. Streams can be chained together for complex I/O processing.
This document provides an overview of Python for data analysis using the pandas library. It discusses key pandas concepts like Series and DataFrames for working with one-dimensional and multi-dimensional labeled data structures. It also covers common data analysis tasks in pandas such as data loading, aggregation, grouping, pivoting, filtering, handling time series data, and plotting.
This document discusses stacks as a linear data structure that follows the LIFO (Last-In First-Out) principle. Key points include:
- Stacks allow insertion and deletion from one end only (the top) through PUSH and POP operations.
- Common applications of stacks include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix notation for arithmetic expressions.
- The document provides examples and algorithms for common stack operations like insertion, deletion, and display.
This document provides an overview of linked lists in C++. It discusses how to represent a linked list node using a struct with a data field and pointer to the next node. It demonstrates how to traverse a linked list by accessing the data and next fields of each node. Several examples are provided for linked list operations like inserting and deleting nodes at different positions within the list.
This document provides an overview of a seminar on finite automata. It discusses key topics including deterministic finite automata (DFA), non-deterministic finite automata (NFA), regular expressions, and regular languages. It defines these concepts, provides examples, and discusses applications such as text searching using regular expressions.
A presentation on prim's and kruskal's algorithmGaurav Kolekar
This slides are for a presentation on Prim's and Kruskal's algorithm. Where I have tried to explain how both the algorithms work, their similarities and their differences.
In computer science, a linked list is a linear collection of data elements, whose order is not given by their physical placement in memory. Instead, each element points to the next. It is a data structure consisting of a collection of nodes which together represent a sequence.
This document discusses various string operations in Python including: finding the length of a string; accessing and slicing characters; the difference between strings and lists; converting case; checking character types; splitting strings; finding substrings; reading and printing strings; concatenation and repetition; iterating through strings with for loops; and common string methods like isalpha, isdigit, lower, upper, title, join, split, count, find, index. It also provides examples of problems involving anagrams, pangrams, unique characters, and removing duplicates from strings.
This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
The document discusses rules and algorithms for converting between postfix notation and expression trees. It provides rules for building an expression tree from postfix notation by appending nodes based on the order in the postfix list. It also provides rules for generating prefix notation by traversing the expression tree from left to right and outputting the value of each node visited. Examples are given to demonstrate converting a postfix expression to an expression tree and then to prefix notation step-by-step.
This document contains information about a mentoring program run by Baabtra-Mentoring Partner. It includes:
- A disclaimer that this is not an official Baabtra document
- A table showing a mentee's typing speed progress over 5 weeks
- An empty table to track jobs applied to by the mentee
- An explanation of sets in Python, including how to construct, manipulate, perform operations on, and iterate over sets
- Contact information for Baabtra
Templates allow functions and classes to operate on generic types in C++. There are two types of templates: class templates and function templates. Function templates are functions that can operate on generic types, allowing code to be reused for multiple types without rewriting. Template parameters allow types to be passed to templates, similar to how regular parameters pass values. When a class, function or static member is generated from a template, it is called template instantiation.
Stacks are linear data structures that only allow insertion and deletion of elements from one end, called the top. Elements are inserted via a push operation and deleted via a pop operation. Stacks can be implemented using arrays, with a pointer tracking the top element. Common applications of stacks include reversing the order of elements and evaluating mathematical expressions by treating them as a postfix notation.
The document describes how to convert a given NFA-ε into an equivalent DFA. It finds the ε-closure of each state in the NFA to create the states of the DFA. It then determines the transitions between these DFA states on each input symbol by taking the ε-closure of the NFA state transitions. This results in a DFA transition table and diagram that is equivalent to the original NFA.
The document discusses various primitive data types including integer, floating point, decimal, boolean, character, and string types. It covers the implementation and design considerations of these types in different programming languages such as C, C++, Java, and C#. Enumeration types are also introduced as user-defined ordinal types.
El documento describe el concepto de pila y sus aplicaciones. Explica que una pila es una estructura de datos lineal en la que solo se permiten inserciones y eliminaciones en un extremo. Luego detalla las operaciones básicas de una pila como apilar, desapilar, cima y cómo implementar una pila utilizando un arreglo. Finalmente, propone algunos ejercicios prácticos sobre el uso de pilas.
The document discusses stacks and their implementation. It introduces stacks and their common operations like push and pop. It describes using stacks to solve problems like reversing a list, calculating in Reverse Polish Notation, and bracket matching by keeping track of opening brackets on a stack. Sample code is provided to implement a stack class with methods like push, pop and top to manipulate items on the stack.
This document discusses arrays, records, and pointers. It begins by defining linear and non-linear data structures. Linear data structures have elements stored in sequential memory locations or linked by pointers. Arrays and linked lists are two ways to represent linear structures. Common operations on linear structures are traversal, search, insertion, deletion, sorting, and merging. Arrays are preferred over linked lists when the data needs to be traversed, searched, or sorted frequently. The document then discusses linear arrays in more detail, including representation in memory, traversing arrays, inserting and deleting elements, and multidimensional arrays.
This document summarizes Python's standard data types including numbers, strings, lists, tuples, and dictionaries. It describes that in Python, data types are classes and variables are objects of those classes. It provides examples of how to define number variables and delete number object references. It also explains that strings can be defined using single or double quotes and how string slicing and concatenation works using indexes and operators.
The document discusses the new features in C++11 including new language features such as rvalue references, decltype, lambdas, and auto; new library features such as smart pointers, regular expressions, and hash tables; and the status of support for C++11 in Visual Studio 2010 and 2012. It also discusses modern C++ style using features like lambdas, smart pointers, and move semantics.
A minimal collection of most wanted and widely accepted idioms and coding conventions for C++ development presented with examples and explanations. The lecture targets performance oriented codes so emphasis is on performance-friendly techiques.
Topics covered:
1) Design issues: idioms and best practices
- Resource Aquisition Is Initialization (RAII)
- Ownership semantics and smart pointers
- Header files: dependencies and decoupling
2) Objects Construction/Destruction/Copying
- Designing constructors
- Rule Of Three
- Transactional programming
3) Namespaces
- ADL/Koenig Lookup
4) Static analyzers
Java uses streams to handle input/output operations. Streams provide a standardized way to read from and write to various sources and sinks like files, networks, and buffers. There are byte streams that handle input/output of bytes and character streams that handle characters. Common stream classes include FileInputStream, FileOutputStream, BufferedReader, and BufferedWriter which are used to read from and write to files and console. Streams can be chained together for complex I/O processing.
This document provides an overview of Python for data analysis using the pandas library. It discusses key pandas concepts like Series and DataFrames for working with one-dimensional and multi-dimensional labeled data structures. It also covers common data analysis tasks in pandas such as data loading, aggregation, grouping, pivoting, filtering, handling time series data, and plotting.
This document discusses stacks as a linear data structure that follows the LIFO (Last-In First-Out) principle. Key points include:
- Stacks allow insertion and deletion from one end only (the top) through PUSH and POP operations.
- Common applications of stacks include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix notation for arithmetic expressions.
- The document provides examples and algorithms for common stack operations like insertion, deletion, and display.
This document provides an overview of linked lists in C++. It discusses how to represent a linked list node using a struct with a data field and pointer to the next node. It demonstrates how to traverse a linked list by accessing the data and next fields of each node. Several examples are provided for linked list operations like inserting and deleting nodes at different positions within the list.
This document provides an overview of a seminar on finite automata. It discusses key topics including deterministic finite automata (DFA), non-deterministic finite automata (NFA), regular expressions, and regular languages. It defines these concepts, provides examples, and discusses applications such as text searching using regular expressions.
A presentation on prim's and kruskal's algorithmGaurav Kolekar
This slides are for a presentation on Prim's and Kruskal's algorithm. Where I have tried to explain how both the algorithms work, their similarities and their differences.
In computer science, a linked list is a linear collection of data elements, whose order is not given by their physical placement in memory. Instead, each element points to the next. It is a data structure consisting of a collection of nodes which together represent a sequence.
This document discusses various string operations in Python including: finding the length of a string; accessing and slicing characters; the difference between strings and lists; converting case; checking character types; splitting strings; finding substrings; reading and printing strings; concatenation and repetition; iterating through strings with for loops; and common string methods like isalpha, isdigit, lower, upper, title, join, split, count, find, index. It also provides examples of problems involving anagrams, pangrams, unique characters, and removing duplicates from strings.
This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
The document discusses rules and algorithms for converting between postfix notation and expression trees. It provides rules for building an expression tree from postfix notation by appending nodes based on the order in the postfix list. It also provides rules for generating prefix notation by traversing the expression tree from left to right and outputting the value of each node visited. Examples are given to demonstrate converting a postfix expression to an expression tree and then to prefix notation step-by-step.
This document contains information about a mentoring program run by Baabtra-Mentoring Partner. It includes:
- A disclaimer that this is not an official Baabtra document
- A table showing a mentee's typing speed progress over 5 weeks
- An empty table to track jobs applied to by the mentee
- An explanation of sets in Python, including how to construct, manipulate, perform operations on, and iterate over sets
- Contact information for Baabtra
Templates allow functions and classes to operate on generic types in C++. There are two types of templates: class templates and function templates. Function templates are functions that can operate on generic types, allowing code to be reused for multiple types without rewriting. Template parameters allow types to be passed to templates, similar to how regular parameters pass values. When a class, function or static member is generated from a template, it is called template instantiation.
Stacks are linear data structures that only allow insertion and deletion of elements from one end, called the top. Elements are inserted via a push operation and deleted via a pop operation. Stacks can be implemented using arrays, with a pointer tracking the top element. Common applications of stacks include reversing the order of elements and evaluating mathematical expressions by treating them as a postfix notation.
The document describes how to convert a given NFA-ε into an equivalent DFA. It finds the ε-closure of each state in the NFA to create the states of the DFA. It then determines the transitions between these DFA states on each input symbol by taking the ε-closure of the NFA state transitions. This results in a DFA transition table and diagram that is equivalent to the original NFA.
The document discusses various primitive data types including integer, floating point, decimal, boolean, character, and string types. It covers the implementation and design considerations of these types in different programming languages such as C, C++, Java, and C#. Enumeration types are also introduced as user-defined ordinal types.
El documento describe el concepto de pila y sus aplicaciones. Explica que una pila es una estructura de datos lineal en la que solo se permiten inserciones y eliminaciones en un extremo. Luego detalla las operaciones básicas de una pila como apilar, desapilar, cima y cómo implementar una pila utilizando un arreglo. Finalmente, propone algunos ejercicios prácticos sobre el uso de pilas.
The document discusses stacks and their implementation. It introduces stacks and their common operations like push and pop. It describes using stacks to solve problems like reversing a list, calculating in Reverse Polish Notation, and bracket matching by keeping track of opening brackets on a stack. Sample code is provided to implement a stack class with methods like push, pop and top to manipulate items on the stack.
This document discusses arrays, records, and pointers. It begins by defining linear and non-linear data structures. Linear data structures have elements stored in sequential memory locations or linked by pointers. Arrays and linked lists are two ways to represent linear structures. Common operations on linear structures are traversal, search, insertion, deletion, sorting, and merging. Arrays are preferred over linked lists when the data needs to be traversed, searched, or sorted frequently. The document then discusses linear arrays in more detail, including representation in memory, traversing arrays, inserting and deleting elements, and multidimensional arrays.
This document summarizes Python's standard data types including numbers, strings, lists, tuples, and dictionaries. It describes that in Python, data types are classes and variables are objects of those classes. It provides examples of how to define number variables and delete number object references. It also explains that strings can be defined using single or double quotes and how string slicing and concatenation works using indexes and operators.
The document discusses the new features in C++11 including new language features such as rvalue references, decltype, lambdas, and auto; new library features such as smart pointers, regular expressions, and hash tables; and the status of support for C++11 in Visual Studio 2010 and 2012. It also discusses modern C++ style using features like lambdas, smart pointers, and move semantics.
A minimal collection of most wanted and widely accepted idioms and coding conventions for C++ development presented with examples and explanations. The lecture targets performance oriented codes so emphasis is on performance-friendly techiques.
Topics covered:
1) Design issues: idioms and best practices
- Resource Aquisition Is Initialization (RAII)
- Ownership semantics and smart pointers
- Header files: dependencies and decoupling
2) Objects Construction/Destruction/Copying
- Designing constructors
- Rule Of Three
- Transactional programming
3) Namespaces
- ADL/Koenig Lookup
4) Static analyzers
This document appears to be slides from a presentation on distributed systems design by Dennis van der Stelt. The slides discuss concepts like separating systems into loosely coupled services, reducing coupling through messaging and publishing events, temporal coupling with asynchronous communication, and defining services around specific business capabilities rather than sharing data across service boundaries. The presentation argues that these service-oriented architecture principles enable business agility.
Improving The Quality of Existing SoftwareSteven Smith
Presented at DevReach 2013.
As developers, most of our time is spent working on existing software. Sure, occasionally we get the chance to fire up a new Solution in Visual Studio, and that can be exciting. But after the first day, we find ourselves once more having to deal with the work we did yesterday. And today, we know more than we did yesterday, so there are things we’d do differently, if we had it to do over.
Over time, software rots. If we’re not diligent, our beautiful code can degrade into a worthless mess. Keeping our code in working condition is no different than changing the oil in our car – it’s preventive maintenance. In this session, Steve will look at some common places to look for signs of degradation in existing applications, and steps to take to improve the code. Examples will use C# and primarily ASP.NET.
The document provides an overview of key concepts in C++ classes including this pointer, constant member functions, static members, friends of classes, memberwise assignment, copy constructors, operator overloading, type conversion operators, convert constructors, object composition, inheritance, protected members, constructors and destructors with inheritance, and overriding base class functions.
The document discusses C++0x standard library extensions (TR1) and advanced C++ techniques. It provides an overview of new features in C++0x related to the core language like type inference, lambda functions, and rvalue references. It also discusses changes to the C++ standard library like tuples, hash tables, smart pointers, and other containers. The document is intended as course material covering these new C++0x features.
This document provides an overview of web service architecture and its key components. It discusses what web services are and why they are used. The main components covered include XML, SOAP, WSDL, and how they enable programmatic communication between applications over the web. It also provides examples of how NetSuite implements web services using these standards, including how to set up a development project to interface with the NetSuite web services API.
Bjarne Stroustrup - The Essence of C++: With Examples in C++84, C++98, C++11,...Complement Verb
C++11 is being deployed and the shape of C++14 is becoming clear. This talk examines the foundations of C++. What is essential? What sets C++ apart from other languages? How do new and old features support (or distract from) design and programming relying on this essence?
I focus on the abstraction mechanisms (as opposed to the mapping to the machine): Classes and templates. Fundamentally, if you understand vector, you understand C++.
Type safety and resource safety are key design aims for a program. These aims must be met without limiting the range of applications and without imposing significant run-time or space overheads. I address issues of resource management (garbage collection is not an ideal answer and pointers should not be used as resource handles), generic programming (we must make it simpler and safer), compile-time computation (how and when?), and type safety (casts belongs in the lowest-level hardware interface). I will touch upon move semantics, exceptions, concepts, type aliases, and more. My aim is not so much to present novel features and technique, but to explore how C++’s feature set supports a new and more effective design and programming style.
The document describes operator overloading in C++. It discusses how operators can be used with user-defined classes by defining operator functions as class members or non-member functions. It provides examples of overloading stream insertion and extraction operators, unary operators, and binary operators. It also presents a case study of overloading operators for an Array class to add capabilities like range checking and deep copying of arrays.
An Introduction to Part of C++ STL for OI. Introduced the common use of STL algorithms and containers, especially those are helpful to OI.
Also with some examples.
The presentation discusses software design. It discusses the characteristics of a good and bad design. Then it talks about how to achieve a good design. Then finally we discuss the SOLID Principles of Object Oriented Design. These are 5 principles compiled by Rober Cecil Martin aka Uncle Bob. The benefit of these principles is to achieve a good OO design which is high in cohesion and low in coupling thus easily adaptable to change
Of the SOLID principles, made famous by Robert C. Martin, we'll discuss the Interface Segregation Principle and the Dependency Inversion Principle. This session will explain them thoroughly and give real life examples instead of the regular customer & order examples. You'll walk away knowing what the benefits are and how to use them properly.
This document discusses object-oriented programming (OOP). It begins by explaining the software crisis and issues like productivity, quality and managing schedules that OOP aims to address. It then covers procedural programming and its limitations. The key concepts of OOP like objects, classes, encapsulation, inheritance and polymorphism are explained. Popular OOP languages support these concepts to different degrees. Finally, the benefits of OOP like code reuse, modularity and managing complexity are highlighted.
Of the SOLID principles, made famous by Robert C. Martin, we'll discuss the Single Responsibility Principle and the Open/Closed Principle, two of the presenter's favorite principles. But at the same time the least understood and used principles. That's why this session will explain them thoroughly and give real life examples instead of the regular customer & order examples. You'll walk away knowing what the benefits are and how to use them properly.
The document discusses exception handling in C++. It defines exceptions as conditions that occur during execution and prevent normal program continuation. Exception handling involves trying blocks of code that may throw exceptions, throwing exceptions when errors occur, and catching exceptions in handler blocks to deal with the errors. The key aspects of exception handling are try blocks for code that can throw, throw statements to indicate exceptions, and catch blocks that match exception types to handle them.
Inheritance, polymorphisam, abstract classes and composition)farhan amjad
The document discusses object-oriented programming concepts like inheritance, encapsulation, polymorphism and data hiding. It provides examples to explain inheritance, where a derived class inherits attributes and behaviors from a base class. Derived classes can specialize or extend the base class while reusing its code.
The document discusses different types of memory areas in C++ including stack, heap, static, and const data areas. It compares pointers and references, explaining that pointers can be null while references must always refer to a valid object. The document also covers memory management topics like new and delete operators, placement new, and smart pointers. Common memory problems are outlined along with solutions like using destructors and smart pointers to avoid leaks.
This document provides an overview of embedded Linux training. It discusses the basic components of an embedded Linux system including the bootloader, kernel, filesystem, libraries and applications. It also covers cross-compilation toolchains, building a root filesystem, and the booting sequence from the bootloader to launching user applications.
Abstract Base Class and Polymorphism in C++Liju Thomas
Connect with me through Facebook and twitter for more details:http://www.facebook.com/lijuthomas24, http://www.twitter.com/lijuthomas24
This ppt explains the concept of abstract base class and Polymorphism in C++
Keys to Continuous Delivery Success - Mark Warren, Product Director, Perforc...Perforce
Many well-known SaaS vendors use Continuous Delivery to update production sites at mind-bogglingly short intervals and non-SaaS organizations are increasingly looking to CD to increase customer satisfaction and be more competitive.This session will review case studies by Perforce customers, including NYSE, CCP Games, salesforce.com and others, to identify key success factors and provide recommendations for starting, or accelerating, the adoption of CD in your organization.
Synapse india complain sharing info on chapter 8 operator overloadingSynapseindiaComplaints
The document discusses operator overloading in C++. It covers the fundamentals of operator overloading including which operators can be overloaded and restrictions. It provides examples of overloading unary, binary, and assignment operators. It also discusses overloading stream insertion and extraction operators and includes a case study overloading operators for an Array class. The case study demonstrates overloading operators like ==, !=, [], and << to provide functionality like array comparisons and outputting entire arrays. The document also discusses converting between types using cast operators.
The document discusses templates and polymorphism in C++. It introduces function templates as a way to write generic functions that can work on different data types. An example Min() function template is provided. Class templates are also discussed as a way to define generic container classes like vectors. The document explains how templates avoid code duplication. Polymorphic functions and virtual functions are compared, with virtual functions allowing runtime polymorphism through derived classes overriding base class functions. The use of templates and polymorphism in the Standard Template Library is covered.
Operator overloading allows programmers to define special member functions to customize the behavior of operators (like +, -, etc.) for user-defined types. It can be implemented through member functions, non-member functions, or friend functions. Inline functions replace function calls with the function code directly, which can improve performance for short functions.
The document discusses C++ templates and how they can be used to create a generic stack class that can hold different data types. It provides an example stack class implementation using templates that defines methods like push(), pop(), peek(), and empty(). It also discusses how function calls use a call stack to pass arguments and return values.
The document summarizes several Java 5 features including generics, enhanced for loops, autoboxing/unboxing, typesafe enums, varargs, static imports, and annotations. It provides examples and explanations of each feature.
The document discusses various concepts related to arrays in C/C++ including:
- What an array is and its key properties like contiguous memory locations and common data type
- Different types of arrays like single dimensional and multi dimensional
- How to declare, initialize and access array elements
- Passing arrays to functions
- Searching and sorting arrays
- Common array operations like insertion and deletion
The document provides an introduction to basic concepts in object-oriented programming with C++, including data types, variables, operators, functions, input/output, arrays, pointers, and control structures. It explains fundamental data types like integers and characters, how to declare and assign variables, arithmetic and logical operators, how functions are defined by their name, parameters and return type, and how to pass arguments by value or reference. It also covers arrays, pointers, the relationship between arrays and pointers, pointer arithmetic, input/output streams, and control structures like if/else statements, for/while loops, switch statements, and do/while loops.
STL stands for Standard Template Library. It provides common programming data structures and algorithms. The key components of STL are containers like vector and list that store data, iterators that access elements in containers, and algorithms that perform operations on data structures. STL aims to provide generic functions that work on different data types through templates. Common STL algorithms include searching, sorting, copying, and erasing elements from containers.
The document discusses practical meta-programming using C++ templates. It explains how template specialization and partial specialization allow recursive instantiation of templates to transform types and data at compile-time in a functional programming-like manner. Examples are provided to demonstrate summing values, checking type traits, approximating mathematical functions, and creating heterogeneous tuples through recursive templates. SFINAE (substitution failure is not an error) is also introduced as a way to selectively overload functions based on type traits.
The document discusses UNIX processes and related concepts:
1. A UNIX process consists of text, data, and stack segments in memory, and has a process table entry containing process-specific data like file descriptors and environment variables.
2. Processes are started by a kernel which calls a startup routine before main(). Processes can terminate normally via return, exit(), or _exit(), or abnormally via abort() or signals.
3. Functions like atexit(), setjmp(), longjmp(), getrlimit(), and setrlimit() allow processes to register exit handlers, transfer control between functions, and set resource limits.
This is my attempt at a look at some of the features of C++11, and more importantly, describing some of the style changes in C++11 that will make programmers more productive and programs more efficient.
Dynamic Objects,Pointer to function,Array & Pointer,Character String ProcessingMeghaj Mallick
This is an PPT of C++ Programming Language. This includes the various topics such as "Dynamic Objects,Pointer to function,Array & Pointer,Character String Processing ".
This document discusses various data structures in C#, including arrays, lists, queues, stacks, hash tables, and more. It provides code examples and explains the time complexity of common operations for each data structure. Asymptotic analysis and big-O notation are introduced for analyzing how efficiently a data structure handles operations as its size increases.
The document summarizes Guido van Rossum's talk about Python 3000 (also known as Python 3.0) at PyCon in 2007. Some key points:
- Python 3.0 will be an incompatible major release that fixes early design mistakes in Python.
- Major changes include print becoming a function, dictionary views replacing key methods, default integer division rounding to a float, and strings becoming Unicode by default.
- The timeline targets completion of PEPs by April 2007 and a 3.0 final release in June 2008.
- Automatic tools can help convert most 2.x code to 3.x, but not cases depending on implementation details. Developers are encouraged to write portable code and add tests.
C++ STL (quickest way to learn, even for absolute beginners).pptxGauravPandey43518
C++ STL is a collection of containers and algorithms that provide common programming tasks. It includes data structures like vector, set, map as well as sorting and searching algorithms. Using STL containers makes code shorter, faster and more error-free compared to manually writing these routines. STL is important for learning advanced C++ concepts like graphs and algorithms.
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.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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 ...
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
24. An example : #include <iostream> #include <algorithm> #include <vector> void main() { int a; int arr[]={1,2,3,4,5,6,7}; a=mycount(&arr[0],&arr[7],7); cout<<"7 come"; cout<<""; cout<<a; cout<<"times"; cout<<"************************"; } int mycount(int *p,int *q,int b) { int a=0; while (p!=q) { if (*p++==7) { a++; } } return a; }
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28. An example : #include <iostream> #include <algorithm> #include <vector> void main() { int arr[]={1,2,3,4,5}; int brr[]={1,2,3,4,5}; int crr[]={1,2,3,4,1}; if (equal(arr,arr+5,brr)) { cout<<"ok"; } else { cout<<"not ok"; } if (equal(arr,arr+5,crr)) { cout<<"ok"; } else { cout<<"not ok"; }