Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
What is Quantum Cryptography? Quantum cryptography is a field of study that focuses on the use of quantum mechanical phenomena, such as superposition and entanglement, to secure communication. Quantum cryptography involves the use of quantum states to encode and transmit information, and it is based on the principles of quantum mechanics. One of the main advantages of quantum cryptography is that it can provide unconditional security. This means that it is theoretically impossible for an attacker to intercept and decrypt the transmitted information without being detected. This is because the principles of quantum mechanics ensure that any attempt to intercept ... Read More
In this tutorial, we will discuss the realization of an inverter (NOT gate) with a transistor. But before that let's have a look into the basics of inverter or NOT gate. What is an Inverter (NOT Gate)? An inverter is a single input and single output logic gate that toggles or inverts the logic level (or state) of a single to the opposite state or logic level. The inverter is also known as NOT gate. When a low signal (logic 0) is applied to an inverter, it transforms it to a high signal (logic 1). If a high signal (logic ... Read More
Kerckhoff's principle, also known as Kerckhoff's law, is a principle in cryptography that states that a cryptographic system should be secure even if everything about the system, except for the key, is public knowledge. This principle is also sometimes referred to as "security through obscurity is not security." The principle was first stated by Auguste Kerckhoff in the 19th century, and it is based on the idea that the security of a cryptographic system should not depend on the secrecy of its design or implementation. Instead, the security of the system should depend solely on the secrecy of the key. ... Read More
What Is a Distributed Hash Table? A distributed hash table (DHT) is a type of distributed system that provides a lookup service similar to a hash table. In a hash table, data is stored and retrieved using keys, and the keys are used to determine the location of the data in the table. A distributed hash table is similar, but the data is distributed across multiple nodes in a network rather than being stored in a single table. In a DHT, each node is responsible for storing and managing a portion of the data. When a client wants to retrieve ... Read More
A peer-to-peer (P2P) network is a type of network in which each participant (or "peer") can act as both a client and a server, allowing them to share resources and information directly with one another without the need for a central server. P2P networks are decentralized, meaning that there is no central authority or organization that controls the network or its resources. In a P2P network, each peer has equal status and can connect to any other peer on the network. Peers can share a variety of resources, including files, data, and computing power, with one another. P2P networks are ... Read More
H.323 Protocol Explained H.323 is a set of standards for real-time communication over IP networks, such as the internet. It was developed by the International Telecommunication Union (ITU) in the late 1990s as a way to enable voice, video, and data communication over IP networks. H.323 is a suite of protocols that includes a number of different components, including − H.225 − This protocol is used for signaling, which is the process of establishing and maintaining communication sessions. H.225 uses the Remote Procedure Call (RPC) model to send and receive messages between devices. H.245 − This protocol is used ... Read More
Data science integrates math and statistics, specialized programming, advanced analytics, machine learning, and artificial intelligence (AI) with specific subject matter expertise to reveal actionable insights hidden in an organization’s data. Data science is one of the fields which has shown the quickest growth rates across all industries. This is a result of the increasing volume of data sources and data that results from them. Data Science has generated controversy among other disciplines as a field ever since it began to gain recognition. In this article we will be learning about the fundamentals of software engineering, why it ... Read More
When we move from our academics into the industry, especially engineering individuals, we face a very common problem that we are mainly taught about the obsolete or near obsolete technologies. For example, many schools still use MATLAB. In the engineering sector, whether it is chemical engineer, electrical engineer, or nanoengineer, everyone must have used MATLAB. But in recent times, we can see businesses are shifting from MATLAB to Python. This can be due to a variety of reasons − $1000 licensing cost Inefficient memory allocation Dearth of open source libraries Detest MATLAB syntax. The people who want ... Read More
Cleansing, transforming, and analyzing raw data is the first step in the process of obtaining useful, pertinent information which can help businesses make informed conclusions. By offering relevant information and facts, which are usually presented as charts, pictures, tables, and graphs, the strategy helps to lower the risks associated with decision-making. Data analysis is concerned with the process of converting unprocessed data into pertinent statistics, knowledge, and explanations. Data analysis is a crucial competence that may support better decision-making. Spreadsheets are the most often used tools for data analysis, and built-in pivot tables are the most popular analytical tool. ... Read More
Dask is a flexible open-source Python library which is used for parallel computing. In this article, we will learn about parallel computing and why we should choose Dask for this purpose. We will compare it with various other libraries like spark, ray and modin. We have also discussed use cases of Dask. Parallel Computing A type of computation known as parallel computing carries out several computations or processes simultaneously. Large issues are typically divided into manageable pieces that may be solved separately. The four categories of parallel computing are Bit-level Instruction-level Data-level Job parallelism. ... Read More