Software Engineering Simplified: C++ STL Lists In this article, we have explored List in C++ STL in depth along with its member functions and applications. It is a good alternative to arrays.
Machine Learning (ML) Sharpening Filters Sharpening filters makes transition between features more recognizable and obvious as compared to smooth and blurry pictures. We have explored it in detail.
Software Engineering Template Class in C++ Template class in C++ is a feature that allows a programmer to write generic classes and functions which is useful as the same class/ function can handle data of multiple data types.
Software Engineering Different types of Attribute Selectors in CSS It is possible to style HTML elements that have specific attributes or attribute values. The [attribute] selector is used to select elements with a specified attribute.
Software Engineering Model View Controller (MVC) and link with Django (MTV) In this article, we have explored the Model View Controller (MVC) architecture and how it is used in web development. We have also learnt about its use specifically in Django.
Software Engineering Application Structure of Django Django is one of most widely used Python web development framework and powers several popular applications. In this article, we have explored the structure of a Django web application. It follows Model, Template and View (MTV).
Software Engineering Private Inheritance in C++ In this article, we will be learning about Private Inheritance in Object Oriented Programming (OOP) with reference to C++. Private inheritance involves the use of Private Access Specifiers for its member functions and data members.
Software Engineering Create Login Page in Flask using sessions There are many ways to create user login in Flask like using flask-login or JWT and many more. But using sessions is the simplest to logged the user in or out which we have explored in this article.
Software Engineering Multiple Inheritance in Java (using Interface) Java is an Object Oriented Programming language and supports the feature of inheritance. We cannot have Multiple Inheritance in Java directly due to Diamond Problem but it can be implemented using Interfaces.
Algorithms Divide and Conquer Optimization in Dynamic Programming Divide and conquer optimization is used to optimize the run-time of a subset of Dynamic Programming problems from O(N^2) to O(N logN). We have demonstrated it with an example.
Algorithms 2-SAT problem Boolean satisfiability is a NP-complete problem but, a special case of it can be solved in polynomial time. This special case is called case 2-SAT or 2-Satisfiability. We have explained the basic knowledge to understand this problem with depth along with solution.
Algorithms Applications of Catalan Numbers In this article, we have explored different applications of Catalan Numbers such as number of valid parenthesis expressions, number of rooted binary trees with n internal nodes, number of ways are there to cut an (n+2)-gon into n triangles and many more.
Problems on Binary Tree Implementing Binary tree in C++ In this article, we have explored how to implement Binary Tree Data Structure in C++ including all different operations like traversing, inserting and deleting. We have used Object Oriented Programming (OOP) concepts.
Software Engineering Override __getattr__ in Python Methods like __getattr__, is called when an atrribute is not found in the usual place(i.e. it is not an instance attribute nor is it found in the class tree for self).
Machine Learning (ML) Advantages of Support Vector Machines (SVM) In this article, we have explored the Advantages of SVM in depth and compared Support Vector machine (SVM) with other approaches like Naive Bayes Algorithm and Logistic Regression as well.
Software Engineering NamedTuples objects in Python Using NamedTuples in Python helps you self-document your code conveying meaning to each field. Its methods allow you to work more easily with data.
Software Engineering Typing speed testing tool using Vanilla JavaScript In this article, we will know how to build a simple tool that can test the typing speed of the users. We will develop this using JavaScript along with HTML and CSS.
Machine Learning (ML) An Introduction to BERT In this article, we have go through some of the basic concept related BERT architecture in general and Try to find the intuition behind using it . We also tried to explore similar models.
Algorithms Knuth's optimization in Dynamic Programming Knuth's optimization is used to optimize the run-time of a subset of Dynamic programming problems from O(N^3) to O(N^2). We have explained this with a sample problem.
Software Engineering Class based Generic Views in Django Class-Based Generic Views are a superior set of Built-in views that are used for the implementation of selective view strategies such as Create, Retrieve, Update, Delete.
Algorithms Tim Sort Tim Sort is a hybrid stable sorting algorithm that takes advantage of common patterns in data, and utilizes a combination of an improved Merge sort and Binary Insertion sort along with some internal logic to optimize the manipulation of large scale real-world data.
Algorithms Overview of Maximum Flow Problem The aim of the max flow problem is to calculate the maximum amount of flow that can reach the sink vertex from the source vertex keeping the flow capacities of edges in consideration.
Software Engineering Creating JWT Authentication in REST API in Flask JSON Web Token is a string which is sent in HTTP request from the browser to the server to validate authenticity of the client. We have demonstrated how to create JWT Authentication in REST API in Flask.
Algorithms Algorithm to find the maximum power of N that divides M factorial (M!) We are given two numbers M and N. Our aim is to find the highest power of N that divides Factorial of M (M!). First we have discussed about the Brute Force approach and then we will be discussing this problem using Legendre’s formula.
Machine Learning (ML) Adversarial Machine Learning Adversarial Machine learning is the technique which involves applying different methods in order to construct or generate examples that are meant to fool the machine learning model.
