Difference Between iCloud and BorgBase

Pranavnath
Updated on 07-Jul-2023 11:41:15

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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

Difference Between Frame Relay and ATM

Pranavnath
Updated on 07-Jul-2023 11:21:54

2K+ Views

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

Difference Between Dataset from Tensors and Dataset from Tensor Slices

Rohan Singh
Updated on 06-Jul-2023 17:52:00

953 Views

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

Difference Between DataClass, NamedTuple, and Object in Python

Rohan Singh
Updated on 06-Jul-2023 17:43:43

2K+ Views

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

Difference Between BeautifulSoup and Scrapy Crawler

Rohan Singh
Updated on 06-Jul-2023 17:34:01

225 Views

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

Rohan Singh
Updated on 06-Jul-2023 17:24:01

1K+ Views

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

Access Web Resources Using Factory Method Design Pattern in Python

Rohan Singh
Updated on 06-Jul-2023 17:07:07

187 Views

The Factory Method Design Pattern of Python is a creational pattern that provides an interface for creating objects in a superclass but allows subclasses to alter the type of objects that will be created. It is used to define a generic interface for creating objects while allowing subclasses to decide which class to instantiate. In this article, we will explore how to use the Factory Method Design Pattern to access web resources in Python. Accessing Web Resources Python provides several libraries for accessing web resources such as HTTP requests, urllib, and Requests. These libraries allow us to send HTTP requests ... Read More

Insert Element into Priority Queue in Go

Akhil Sharma
Updated on 06-Jul-2023 16:05:15

289 Views

When working with go language there may be cases such as sorting, managing urgent events such as job scheduling, and more where you need to prioritize the element based on their urgency number. In this article, we will write a Go language program to insert an element into a priority queue. A priority queue is a type of queue in which every stored element has a priority. The elements are added in the priority queue using the enqueue operation and removed from the queue using the dequeue operation. Syntax func make ([] type, size, capacity) The make ... Read More

Golang Program of Two Struct Types with Identical Fields and JSON Tag

Akhil Sharma
Updated on 06-Jul-2023 12:48:47

1K+ Views

Struct types are used to construct custom data structures consist of fields. These fields reflect the structure's characteristics or attributes. The ability to add tags to fields, such as "JSON" tags, which offer additional metadata about the field when serializing or deserializing the struct to/from JSON format, is a valuable feature of struct types. In this article, we will write Go language programs to represent structs with one JSON tag in each field. type StructName struct { Field1 DataType1 `Tag1:"Value1" Tag2:"Value2"` Field2 DataType2 `Tag3:"Value3" Tag4:"Value4"` // ... ... Read More

Compare Struct Instances with Pointers in Golang

Akhil Sharma
Updated on 06-Jul-2023 12:40:48

1K+ Views

In golang, Pointers are the variables which store the address of other variables. A struct is a counterpart to class in object-oriented programming where different fields can be placed in the struct, where these fields can be implemented later on and they have a type like int, float, string etc. In this article, we will write a Go language program to compare two struct instances that have pointers as fields. Mathematical representation for assigning the address of variable “b” to variable “a” − a = &b & denotes the address of operator, and receives the memory address of ... Read More

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