This presentation gives you a very depth knowledge on algorithm and how to write the logic for a given problem and how to write a procedural program using C++ language
Deletion of an element at a given particular positionKavya Shree
This presentation gives you basic knowledge on arrays, how to define ,access,deleting an particular element present in the array and if the element is not present then print element not found
Venay Magen likes the shading red, particularly on Tuesdays. He cherishes to drink bourbon (on all days). He figured out how to drink whisky from his youth companion Zippo, when they went to class together at Mount Temple Comprehensive School. He is best known as the lead vocalist for the band MN3.
The document discusses using Python and the NetworkX library to generate and analyze graphs. It shows how to import NetworkX, generate different types of graphs including paths, cycles, complete graphs and random graphs. It also demonstrates functions for analyzing graphs like calculating node degrees, edges, average path length and density. The document then discusses using the Twitter API via the Tweepy library to generate a follower graph in Python starting from a seed user.
The document describes a sample question paper for an examination on programming. It includes 3 programming questions, with one being to write a program to find the factorial of a given number. The question provides an algorithm, flowchart, and sample code to find the factorial of a number by taking input, initializing variables, using a while loop to multiply the number by integers from number down to 1, and outputting the factorial. The code is run and outputs the factorial of 5 as 120.
The document discusses different implementations of stacks and queues using linked lists and arrays. It describes how stacks can be implemented using a linked list, with push and pop operations adding and removing nodes from the head of the list. Queues can also be implemented with linked lists or arrays, but arrays require additional logic to maintain first-in, first-out order efficiently. Common applications of stacks and queues include evaluating expressions, checking for balanced brackets, and managing tasks in operating systems and server requests.
The document discusses Java's Math and Random classes. It provides examples of how to use common Math class methods like pow(), abs(), ceil(), floor(), max(), min(), and sqrt() to calculate powers, absolute values, rounding, maximum/minimum values, and square roots of numbers. It also shows how to generate random numbers between 0-5 using the Random class's nextInt() method.
Deletion of an element at a given particular positionKavya Shree
This presentation gives you basic knowledge on arrays, how to define ,access,deleting an particular element present in the array and if the element is not present then print element not found
Venay Magen likes the shading red, particularly on Tuesdays. He cherishes to drink bourbon (on all days). He figured out how to drink whisky from his youth companion Zippo, when they went to class together at Mount Temple Comprehensive School. He is best known as the lead vocalist for the band MN3.
The document discusses using Python and the NetworkX library to generate and analyze graphs. It shows how to import NetworkX, generate different types of graphs including paths, cycles, complete graphs and random graphs. It also demonstrates functions for analyzing graphs like calculating node degrees, edges, average path length and density. The document then discusses using the Twitter API via the Tweepy library to generate a follower graph in Python starting from a seed user.
The document describes a sample question paper for an examination on programming. It includes 3 programming questions, with one being to write a program to find the factorial of a given number. The question provides an algorithm, flowchart, and sample code to find the factorial of a number by taking input, initializing variables, using a while loop to multiply the number by integers from number down to 1, and outputting the factorial. The code is run and outputs the factorial of 5 as 120.
The document discusses different implementations of stacks and queues using linked lists and arrays. It describes how stacks can be implemented using a linked list, with push and pop operations adding and removing nodes from the head of the list. Queues can also be implemented with linked lists or arrays, but arrays require additional logic to maintain first-in, first-out order efficiently. Common applications of stacks and queues include evaluating expressions, checking for balanced brackets, and managing tasks in operating systems and server requests.
The document discusses Java's Math and Random classes. It provides examples of how to use common Math class methods like pow(), abs(), ceil(), floor(), max(), min(), and sqrt() to calculate powers, absolute values, rounding, maximum/minimum values, and square roots of numbers. It also shows how to generate random numbers between 0-5 using the Random class's nextInt() method.
Python lab manual all the experiments are availableNitesh Dubey
The document describes 10 experiments related to Python programming. Each experiment has an aim to write a Python program to perform a specific task like finding the GCD of two numbers, calculating square root using Newton's method, exponentiation of a number, finding the maximum of a list, performing linear search, binary search, selection sort, insertion sort, merge sort, and multiplying matrices. For each experiment, the algorithm and Python program to implement it is provided. The output for sample test cases is also given to verify the programs.
Coherence SIG: Advanced usage of indexes in coherencearagozin
This document discusses advanced indexing techniques in Oracle Coherence including:
1. How to create indexes on cache attributes using a ValueExtractor and configure index properties like ordering.
2. How filters can utilize indexes through the IndexAwareFilter interface to efficiently filter candidate sets.
3. Examples of using multiple indexes in a single query and compound indexes.
4. Custom index implementations using a custom IndexAwareExtractor to support advanced data structures.
5. Embedding Apache Lucene for full text search capabilities by mapping objects to Lucene documents and executing Lucene queries on the Coherence cache.
This document discusses arrays and stacks. It includes examples of declaring and initializing one-dimensional and two-dimensional arrays in pseudocode. It shows how to insert values into an array using a loop, access individual elements, and find the maximum value in an array. It also defines what a stack is, how it follows the LIFO principle, and provides an example of reversing a string using a stack in pseudocode.
This document discusses different ways of working with arrays and lists in Python, including:
- Creating arrays using ctypes and initializing array values
- Performing operations on arrays like addition, getting/setting items
- Creating lists, and common list operations like appending, extending, inserting, deleting, and slicing elements
An array is a collection of homogeneous data items stored in successive memory locations. It allows storing multiple elements of the same type using a single name. Elements in an array can be accessed using the array name and index number. Common operations on arrays include storing/retrieving elements, searching for a particular element or largest/smallest element, and calculating sum of elements based on certain criteria like even/odd indexing. Arrays can also be modified by inserting or deleting elements.
This assignment is regarding List in Python. List is a sequential data type. It is heterogenous in nature. This assignment has practice questions of 1- mark, 2 - marks and 3-marks. Questions are according to new CBSE Syllabus for Class XI and XII of Subject Computer Science and Informatics Practices.
The document discusses Java collections and lists. It explains that collections include sets, lists, and maps. Lists are ordered collections that allow duplicates. The document covers using collections and iterators, bulk operations on collections, mixing collection types, and list-specific operations like positional access, searching, and iteration both forward and backward.
iGraph is an open source Python module for network analysis. It allows importing graphs into Python and generating graphs using built-in deterministic and stochastic graph generators. Key functions include adding/removing vertices and edges, calculating graph properties like degrees and betweenness centrality, and comparing graphs for isomorphism.
The document contains 10 Java programs to solve common mathematical and logical problems:
1) A program to calculate the factorial of a number.
2) A program to add two matrices.
3) A program to calculate the sum of two numbers.
4) A program to reverse a number.
5) A program to check if a number is an Armstrong number.
6) A program to find the largest of three numbers.
7) A program to output the current date and time.
8) A program to check if a string is a palindrome.
9) A program to print prime numbers up to a given limit.
10) A program to swap two numbers.
This document provides an introduction to algorithm analysis and design. It defines what an algorithm is and lists some key properties it should have like being unambiguous, having a finite number of steps, and terminating. It discusses different ways to specify algorithms using natural language, flowcharts, or pseudocode. It also covers analyzing algorithm efficiency in terms of time and space complexity and introduces common asymptotic notations used like Big O, Big Omega, and Big Theta notation.
This document provides code to sort a linked list in ascending order using bubble sort. It defines a Node class with data and pointer properties. It then prompts the user to enter nodes, stores them in a linked list, and displays the unsorted list. The code implements bubble sort to iterate through the list, compare adjacent nodes, and swap values if out of order. Finally, it displays the sorted linked list.
This C++ program calculates the number of prime numbers, even numbers, and odd numbers in a linked list. It creates a linked list by prompting the user to input data nodes. It then traverses the list, counting the numbers of each type by checking each node's value. It outputs the final counts of prime, even, and odd numbers in the list.
The document discusses the Stream API introduced in Java 8. Some key points:
1. Streams allow processing of objects from collections through Stream pipelines consisting of source, operations, and terminal operation.
2. Common intermediate operations include filter(), map(), sorted(). Terminal operations include collect(), count(), forEach(), toArray().
3. Streams operations are lazy - elements are computed on demand. This allows efficient bulk operations on collections.
The document discusses favoring composition over inheritance when extending collection classes like HashSet. It shows how inheriting from HashSet to count element additions violates encapsulation and can cause errors. A better approach is to use composition by wrapping a Set in a new class that delegates method calls while also tracking additions. This InstrumentedSet class can work with any Set implementation rather than being tied to HashSet.
Sample java programs for beginners. This slides can help you to print few words in java. Also it helps to do arithmetic calculations and will give you basic concept of for loop, do while loop and if else statements in java. Area of a square.
The document discusses lists vs arrays in F#, summarizing that:
- Arrays provide constant-time lookups but fixed size, while lists allow variable sizes but are slower;
- Lists are immutable and allow efficient prepending, while mutating arrays is less efficient;
- Multidimensional arrays come in rectangular (same sizes) and jagged (varying row sizes) forms.
Searching arrays uses functions like Array.find to retrieve elements matching a condition. The example shows encrypting a string using ROT13 array indexing.
Gdg almaty. Функциональное программирование в Java 8Madina Kamzina
О функциональном программировании (ФП), преимуществах его использования и о том, какие возможности для него добавили в новом релизе Java. Слушатели также узнают, почему уже сейчас стоит начать изучать ФП.
Митап состоялся ->> https://plus.google.com/u/0/b/100893943920756626864/events/c0b2b1ih9ft0opcdnmdgp3453rk
FS2 (previously called Scalaz-Stream) is a library that facilitates purely functional API to encode stream processing in a modular and composable manner.
Due to its functional abstraction around "streams" of data, FS2 enables isolating and delaying the side-effects until the streams are fully composed and assembled into its final execution context.
The main objectives of this talk are to get started with FS2, particularly with its functional approach to stream processing, and to dive into details of its semantics.
Arrays are collections of related data items of the same data type. An array stores elements of the same data type in contiguous memory locations that are accessed using an index. The index is used to access individual elements, with the first element having an index of 0. Arrays can be initialized by assigning values to each element or by prompting for input during runtime using a for loop. Operations on arrays include insertion, deletion, and searching of elements. Searching can be done using linear search, which sequentially compares each element to the search key, or binary search, which divides the array in half and recursively searches within the narrowed range.
Arrays allow storing and manipulating a collection of related data elements. They can hold groups of integers, characters, or other data types. Declaring individual variables becomes difficult when storing many elements, so arrays provide an efficient solution. Arrays are declared with a datatype and size, and elements can be initialized, accessed, inserted, deleted, and manipulated using their index positions. Common array operations include displaying values, finding maximum/minimum values, calculating sums, and passing arrays to functions. Multi-dimensional arrays extend the concept to store elements in a table structure accessed by row and column indexes.
Python lab manual all the experiments are availableNitesh Dubey
The document describes 10 experiments related to Python programming. Each experiment has an aim to write a Python program to perform a specific task like finding the GCD of two numbers, calculating square root using Newton's method, exponentiation of a number, finding the maximum of a list, performing linear search, binary search, selection sort, insertion sort, merge sort, and multiplying matrices. For each experiment, the algorithm and Python program to implement it is provided. The output for sample test cases is also given to verify the programs.
Coherence SIG: Advanced usage of indexes in coherencearagozin
This document discusses advanced indexing techniques in Oracle Coherence including:
1. How to create indexes on cache attributes using a ValueExtractor and configure index properties like ordering.
2. How filters can utilize indexes through the IndexAwareFilter interface to efficiently filter candidate sets.
3. Examples of using multiple indexes in a single query and compound indexes.
4. Custom index implementations using a custom IndexAwareExtractor to support advanced data structures.
5. Embedding Apache Lucene for full text search capabilities by mapping objects to Lucene documents and executing Lucene queries on the Coherence cache.
This document discusses arrays and stacks. It includes examples of declaring and initializing one-dimensional and two-dimensional arrays in pseudocode. It shows how to insert values into an array using a loop, access individual elements, and find the maximum value in an array. It also defines what a stack is, how it follows the LIFO principle, and provides an example of reversing a string using a stack in pseudocode.
This document discusses different ways of working with arrays and lists in Python, including:
- Creating arrays using ctypes and initializing array values
- Performing operations on arrays like addition, getting/setting items
- Creating lists, and common list operations like appending, extending, inserting, deleting, and slicing elements
An array is a collection of homogeneous data items stored in successive memory locations. It allows storing multiple elements of the same type using a single name. Elements in an array can be accessed using the array name and index number. Common operations on arrays include storing/retrieving elements, searching for a particular element or largest/smallest element, and calculating sum of elements based on certain criteria like even/odd indexing. Arrays can also be modified by inserting or deleting elements.
This assignment is regarding List in Python. List is a sequential data type. It is heterogenous in nature. This assignment has practice questions of 1- mark, 2 - marks and 3-marks. Questions are according to new CBSE Syllabus for Class XI and XII of Subject Computer Science and Informatics Practices.
The document discusses Java collections and lists. It explains that collections include sets, lists, and maps. Lists are ordered collections that allow duplicates. The document covers using collections and iterators, bulk operations on collections, mixing collection types, and list-specific operations like positional access, searching, and iteration both forward and backward.
iGraph is an open source Python module for network analysis. It allows importing graphs into Python and generating graphs using built-in deterministic and stochastic graph generators. Key functions include adding/removing vertices and edges, calculating graph properties like degrees and betweenness centrality, and comparing graphs for isomorphism.
The document contains 10 Java programs to solve common mathematical and logical problems:
1) A program to calculate the factorial of a number.
2) A program to add two matrices.
3) A program to calculate the sum of two numbers.
4) A program to reverse a number.
5) A program to check if a number is an Armstrong number.
6) A program to find the largest of three numbers.
7) A program to output the current date and time.
8) A program to check if a string is a palindrome.
9) A program to print prime numbers up to a given limit.
10) A program to swap two numbers.
This document provides an introduction to algorithm analysis and design. It defines what an algorithm is and lists some key properties it should have like being unambiguous, having a finite number of steps, and terminating. It discusses different ways to specify algorithms using natural language, flowcharts, or pseudocode. It also covers analyzing algorithm efficiency in terms of time and space complexity and introduces common asymptotic notations used like Big O, Big Omega, and Big Theta notation.
This document provides code to sort a linked list in ascending order using bubble sort. It defines a Node class with data and pointer properties. It then prompts the user to enter nodes, stores them in a linked list, and displays the unsorted list. The code implements bubble sort to iterate through the list, compare adjacent nodes, and swap values if out of order. Finally, it displays the sorted linked list.
This C++ program calculates the number of prime numbers, even numbers, and odd numbers in a linked list. It creates a linked list by prompting the user to input data nodes. It then traverses the list, counting the numbers of each type by checking each node's value. It outputs the final counts of prime, even, and odd numbers in the list.
The document discusses the Stream API introduced in Java 8. Some key points:
1. Streams allow processing of objects from collections through Stream pipelines consisting of source, operations, and terminal operation.
2. Common intermediate operations include filter(), map(), sorted(). Terminal operations include collect(), count(), forEach(), toArray().
3. Streams operations are lazy - elements are computed on demand. This allows efficient bulk operations on collections.
The document discusses favoring composition over inheritance when extending collection classes like HashSet. It shows how inheriting from HashSet to count element additions violates encapsulation and can cause errors. A better approach is to use composition by wrapping a Set in a new class that delegates method calls while also tracking additions. This InstrumentedSet class can work with any Set implementation rather than being tied to HashSet.
Sample java programs for beginners. This slides can help you to print few words in java. Also it helps to do arithmetic calculations and will give you basic concept of for loop, do while loop and if else statements in java. Area of a square.
The document discusses lists vs arrays in F#, summarizing that:
- Arrays provide constant-time lookups but fixed size, while lists allow variable sizes but are slower;
- Lists are immutable and allow efficient prepending, while mutating arrays is less efficient;
- Multidimensional arrays come in rectangular (same sizes) and jagged (varying row sizes) forms.
Searching arrays uses functions like Array.find to retrieve elements matching a condition. The example shows encrypting a string using ROT13 array indexing.
Gdg almaty. Функциональное программирование в Java 8Madina Kamzina
О функциональном программировании (ФП), преимуществах его использования и о том, какие возможности для него добавили в новом релизе Java. Слушатели также узнают, почему уже сейчас стоит начать изучать ФП.
Митап состоялся ->> https://plus.google.com/u/0/b/100893943920756626864/events/c0b2b1ih9ft0opcdnmdgp3453rk
FS2 (previously called Scalaz-Stream) is a library that facilitates purely functional API to encode stream processing in a modular and composable manner.
Due to its functional abstraction around "streams" of data, FS2 enables isolating and delaying the side-effects until the streams are fully composed and assembled into its final execution context.
The main objectives of this talk are to get started with FS2, particularly with its functional approach to stream processing, and to dive into details of its semantics.
Arrays are collections of related data items of the same data type. An array stores elements of the same data type in contiguous memory locations that are accessed using an index. The index is used to access individual elements, with the first element having an index of 0. Arrays can be initialized by assigning values to each element or by prompting for input during runtime using a for loop. Operations on arrays include insertion, deletion, and searching of elements. Searching can be done using linear search, which sequentially compares each element to the search key, or binary search, which divides the array in half and recursively searches within the narrowed range.
Arrays allow storing and manipulating a collection of related data elements. They can hold groups of integers, characters, or other data types. Declaring individual variables becomes difficult when storing many elements, so arrays provide an efficient solution. Arrays are declared with a datatype and size, and elements can be initialized, accessed, inserted, deleted, and manipulated using their index positions. Common array operations include displaying values, finding maximum/minimum values, calculating sums, and passing arrays to functions. Multi-dimensional arrays extend the concept to store elements in a table structure accessed by row and column indexes.
The document discusses arrays and functions in C programming. It defines arrays as collections of similar data items stored under a common name. It describes one-dimensional and two-dimensional arrays, and how they are declared and initialized. It also discusses strings as arrays of characters. The document then defines functions as sets of instructions to perform tasks. It differentiates between user-defined and built-in functions, and describes the elements of functions including declaration, definition, and calling.
An Introduction to Programming in Java: ArraysMartin Chapman
An Introduction to Programming in Java: Arrays. Last delivered in 2012. All educational material listed or linked to on these pages in relation to King's College London may be provided for reference only, and therefore does not necessarily reflect the current course content.
In this presentation will learn about with a given array using a our logic how we can sort the elements in an increasing order by writing the program in C++
This document discusses arrays in C#, including declaring and creating arrays, accessing array elements, input and output of arrays, iterating over arrays using for and foreach loops, dynamic arrays using List<T>, and copying arrays. It provides examples of declaring, initializing, accessing, reversing, and printing arrays. It also covers reading arrays from console input, checking for symmetry, and processing arrays using for and foreach loops. Lists are introduced as a resizable alternative to arrays. The document concludes with exercises for practicing various array techniques.
This document summarizes an advanced Python programming course, covering topics like performance tuning, garbage collection, and extending Python. It discusses profiling Python code to find bottlenecks, using more efficient algorithms and data structures, optimizing code through techniques like reducing temporary objects and inline functions, leveraging faster tools like NumPy, writing extension modules in C, and parallelizing computation across CPUs and clusters. It also explains basic garbage collection algorithms like reference counting and mark-and-sweep used in CPython.
This document discusses different types of arrays in C programming, including one-dimensional, two-dimensional, and multi-dimensional arrays. It provides examples of declaring and initializing different array types, and using for loops to input and output array element values. Key points covered include defining array syntax using data types and size specifications, and using subscript notation to access element values.
The document discusses linear data structures using sequential organization. It begins by defining sequential access and linear data structures. Linear data structures traverse elements sequentially, with direct access to only one element. Examples given are arrays and linked lists. The document then focuses on arrays, providing definitions and discussing array representation in memory, basic array operations like traversal and searching, and multi-dimensional arrays. Two-dimensional and three-dimensional arrays are explained with examples.
The document provides information about data structures and algorithms. It defines key terms like data, information, data structure, algorithm and different types of algorithms. It discusses linear data structures like arrays, operations on arrays like traversing, searching, inserting and deleting elements. It also covers recursive functions, recursion concept, searching algorithms like sequential search and binary search along with their algorithms and examples.
This presentation about Python Interview Questions will help you crack your next Python interview with ease. The video includes interview questions on Numbers, lists, tuples, arrays, functions, regular expressions, strings, and files. We also look into concepts such as multithreading, deep copy, and shallow copy, pickling and unpickling. This video also covers Python libraries such as matplotlib, pandas, numpy,scikit and the programming paradigms followed by Python. It also covers Python library interview questions, libraries such as matplotlib, pandas, numpy and scikit. This video is ideal for both beginners as well as experienced professionals who are appearing for Python programming job interviews. Learn what are the most important Python interview questions and answers and know what will set you apart in the interview process.
Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer.
What is this course about?
The All-in-One Python course enables you to become a professional Python programmer. Any aspiring programmer can learn Python from the basics and go on to master web development & game development in Python. Gain hands on experience creating a flappy bird game clone & website functionalities in Python.
What are the course objectives?
By the end of this online Python training course, you will be able to:
1. Internalize the concepts & constructs of Python
2. Learn to create your own Python programs
3. Master Python Django & advanced web development in Python
4. Master PyGame & game development in Python
5. Create a flappy bird game clone
The Python training course is recommended for:
1. Any aspiring programmer can take up this bundle to master Python
2. Any aspiring web developer or game developer can take up this bundle to meet their training needs
Learn more at https://www.simplilearn.com/mobile-and-software-development/python-development-training
1. An array is a group of variables of the same type referred to by a common name. Arrays can have one or more dimensions.
2. A one-dimensional array stores elements in contiguous memory locations. Elements are accessed using an index number within square brackets.
3. Common array operations include initializing values, accessing individual elements, searching for elements, finding the maximum/minimum value, and performing element-wise operations on multiple arrays.
Arrays allow programmers to work with multiple similar data values efficiently. There are different types of arrays including one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays use a single index, two-dimensional arrays use two indices for rows and columns, and multi-dimensional arrays can have three or more indices. Programmers can initialize array values at declaration time or runtime, and access elements using indices. Common array operations include sorting, searching, and performing mathematical operations on arrays.
This document provides an overview of arrays in Java, including how to declare, initialize, access, and manipulate array elements. It discusses key array concepts like indexes, the length field, and for loops for traversing arrays. Examples are provided for common array operations like initialization, accessing elements, and passing arrays as parameters or returning them from methods. Limitations of arrays are also covered.
Lab manual data structure (cs305 rgpv) (usefulsearch.org) (useful search)Make Mannan
This document provides a lab manual for experiments on data structures. It includes 20 experiments covering topics like arrays, matrices, recursion, strings, stacks, queues, linked lists, trees, graphs and sorting algorithms. Each experiment contains the aim, introduction, source code, sample output and questions. The experiments provide hands-on practice with commonly used data structures and algorithms.
The document discusses insertion sort and its analysis. It begins by providing an overview of insertion sort, describing how it works to sort a sequence by iteratively inserting elements into their sorted position. It then gives pseudocode for insertion sort and works through an example. Next, it analyzes insertion sort's runtime, showing it is O(n^2) in the worst case and O(n) in the best case. The document concludes by introducing the divide and conquer approach for sorting, which will be covered in the next section on merge sort.
The document discusses various aspects of arrays in C# including declaration, initialization, storing values, accessing values, passing arrays to methods, array properties and functions. It provides examples of one-dimensional and multi-dimensional arrays and covers topics like declaration, initialization, accessing values, passing arrays to methods and common array properties and functions.
Similar to Frequency count of the Element in an array (20)
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
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 Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
2. Agenda
1. Program in c++
2. Array declaration and definition
3. Enter the element to be counted
4. Counter or freq variable declaration
5. Print the particular element along with a
number how many times that number gets
repeated in the given array
3. Logic
• Given array for example:
• arr[]={1,2,3,2,3,2,2}
• Element to be find is 2 (No.of times repeated)
• How to find the repeated element present in an
array
• Soln:Using for loop:
• for (i=0;i<n;i++)
• if(a[i]==ele)(main logic)
• counter++;