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Both ICMP and IGMP are the network protocols of the OSI (Open System Interconnection) model. ICMP will track the messages and finds whether the data receives the destination of the network and IGMP will manage the users of the network. ICMP only diagnoses the network but does not involve in managing it. When a person working on the computer searches for some data on the Internet without an internet connection it gets an error message like the destination is unreachable and these types of error messages are sent using ICMP protocol. What is ICMP? ICMP comes under the network layer ... Read More
Long Polling and WebSocket are both technologies used for real−time data transfer between a client and a server. They provide a way for the client to receive updates from the server in real−time, allowing for more interactive and responsive web applications. The main difference between them is that long polling sends the request to the client or receiver and waits until a response is received which means one−way communication. On the other hand, WebSockets are used to send the data in both directions simultaneously. What is Long Polling? In long polling, until it has information to send back to the ... Read More
IoT requires a network that can transmit data over a long range with low power and at a low bit rate but cellular networks like 3G, 4G, and 5G were not optimized for this. So the cellular body 3gpp which is third generation partnership project came up with the NB standard in release 13 in 2006 with releases 14 and 15 they upgraded the standard NB−Iot and with release 16 in 2020. LoRaWAN technologies are the ones that give voice to non−living things. What is LoRaWAN? LoRaWAN stands for Low Range Wide Area Network. It is a communication protocol ... Read More
iCloud is mainly introduced for iOS users. It provides iOS users with free cloud storage of 5GB space and people can store their personal stuff and important files in the cloud storage and access them remotely. Some of the other features included in iCloud are family sharing, photo library, and drive. Jumpshare involves only the file−sharing feature between the users. Numerous Operating systems are supported by Jumpshare. It offers apps for Google Chrome, Windows 10 and 11 as well as MacOS. What is iCloud? Apple Incorporation offers the cloud computing and storage service known as iCloud. Users are given the ... Read More
iCloud and BorgBase are the storage devices used by varying Operating systems. BorgBase gives a secure way of storing files and other folders using encryption methods. HiCloud and BorgBase are the storage devices used by varying Operating systems. BorgBase gives a secure way of storing files and other folders using encryption methods. High−resolution pictures and videos are kept safe and secured in iCloud−by−iCloud Photos, with lightweight, space−saving copies on all of our devices. No matter what device we are using, iCloud Drive makes it simple to access and share the files and folders we save. Some of the other features ... Read More
Frame Relay and Asynchronous Transfer Mode (ATM) are both data link layer technologies with connection−oriented protocols in the OSI (Open source Interconnection) model. They are related in that they both provide a way to transmit data across Wide Area Networks (WAN) using virtual circuits. Both technologies are used to connect Local Area Networks (LAN) and transmit data across WAN. Frame Relay and ATM differ in their implementation details such as packet size, overheads, cost, speed, error control and flow management, and reliability. These differences make them suitable for different applications and network environments. What is Frame Relay? Frame Relay is ... Read More
Dataset.from_tensors and Dataset.from_tensor_slices are methods in the TensorFlow library that are used to create datasets. Dataset.from_tensor creates a dataset from a single tensor whereas Dataset.from_tensor_slices creates data set by slicing a tensor along the first dimension. In this article, we will understand the difference between the two methods and how they are used in different use cases. from_tensor from_tensor_slices Creates a dataset from a single tensor Creates a dataset by slicing a tensor along the first dimension Useful for small datasets that can fit in memory Useful for large datasets that ... Read More
Dataclass, NamedTuple, and Object are used to create structured datatypes in Python. Though all three are used to create structured data they differ in their properties and implementation method. In this article, we will understand the difference between DataClass, NamedTuple, and Object in Python. Feature Object NamedTuple Dataclass Creation Objects are created by defining a class and its attributes and methods manually. Named tuples are created using the named tuple function from the collections module. The field names and values are specified manually. Data classes are created using the @dataclass decorator. The class attributes ... Read More
Beautiful Soup and Scrapy Crawler are used for doing web scraping in Python. Both of these tools have the same use case but have different functionalities. Web scraping is useful in data collection and analysis in fields like research, marketing, and business intelligence. In this article, we will understand the difference between Beautiful Soup and Scrapy Crawler and how they are used in web scraping. Feature Beautiful Soup Scrapy Parsing Used for parsing HTML and XML documents Uses a combination of parsing and crawling to extract data from websites. Ease of Use Simple ... Read More
Adam optimizer in Tensorflow is an algorithm used in deep learning models. Optimization algorithms are used in deep learning models to minimize the loss function and improve performance. Adam stands for Adaptive Moment Estimation, which is a stochastic gradient descent algorithm. It combines the advantages of both RMSprop and AdaGrad algorithms to achieve a better optimization result. In this article, we will understand the Adam Optimizer in Tensorflow and how it works. Working principle of Adam Optimizer Adam optimizer is an iterative optimization algorithm. It uses first and second-order moments of the gradient to adaptively adjust the learning rate ... Read More