C++ Program to Implement Queue Data Structure using Arrays and All Queue Operations

We will be implementing queue data structure and all its standard operations. We will implement queue using arrays in c++ programming language.
Following are the stack operations -

1. enqueue() -
   Elements are added from one end (Rear / Back).
2. dequeue() -
   Elements are removed from one end (Head / Front).
3. isEmpty() -
   Tells if the queue is empty or not
4. isfull() -
   Tells if the queue is full or not.
5. count() -
   Get the number of items in the queue.
6. display() -
   Display all items in the queue

#queue #queueprogram #queuecpp #queuedatastructure #datastructures #queueds #queueoperations

#queue #c++ #queue data structure

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C++ Program to Implement Queue Data Structure using Arrays and All Queue Operations

We will be implementing queue data structure and all its standard operations. We will implement queue using arrays in c++ programming language.
Following are the stack operations -

1. enqueue() -
   Elements are added from one end (Rear / Back).
2. dequeue() -
   Elements are removed from one end (Head / Front).
3. isEmpty() -
   Tells if the queue is empty or not
4. isfull() -
   Tells if the queue is full or not.
5. count() -
   Get the number of items in the queue.
6. display() -
   Display all items in the queue

#queue #queueprogram #queuecpp #queuedatastructure #datastructures #queueds #queueoperations

#queue #c++ #queue data structure

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Learn Circular Queue Data Structure with C++ Program Implementation & Algorithms

A circular queue data structure is a type of queue data structure which overcomes the drawback of simple queue data structure.
In simple queue data structure, as values are dequeued from the front side, they become in-accessible according the standard algorithm.
However, in circular queue data structure, those inaccessible memory locations can be accessed again since the the rear and front pointer revolved and iterate through the index positions of the queue.

#Queue Data Structure #Data Structures #C++

#queue data structure #data structures #c++

Which Python Data Structure Should You Use?

Lists, tuples, sets, dictionaries… When do you use which built-in data structure?

Python is an object-oriented programming (OOP) language. Classes and objects are used to structure and modularize code to be reusable and easy to modify. OOP requires the use of data structures to organize and store data in a way that can be efficiently accessed.

Python has primitive (or basic) data structures such as floats, integers, strings, and Booleans. Python also has non-primitive data structures such as lists, tuples, dictionaries, and sets. Non-primitive data structures store a collection of values in various formats rather than a single value. Some can hold data structures within the data structure, creating depth and complexity in data storage capabilities.

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In this article, we will look into each built-in data structure decide when it is appropriate to use one over another.

#data-structures #data-science #programming-languages #programming #python #which python data structure should you use?

Unformatted input/output operations In C++

In this article, we will discuss the unformatted Input/Output operations In C++. Using objects cin and cout for the input and the output of data of various types is possible because of overloading of operator >> and << to recognize all the basic C++ types. The operator >> is overloaded in the istream class and operator << is overloaded in the ostream class.

The general format for reading data from the keyboard:

cin >> var1 >> var2 >> …. >> var_n;

• Here, var1, var2, ……, varn are the variable names that are declared already.
• The input data must be separated by white space characters and the data type of user input must be similar to the data types of the variables which are declared in the program.
• The operator >> reads the data character by character and assigns it to the indicated location.
• Reading of variables terminates when white space occurs or character type occurs that does not match the destination type.

#c++ #c++ programs #c++-operator overloading #cpp-input-output #cpp-operator #cpp-operator-overloading #operators