Answer:
Explanation:
The Healing Brush and Patch tools add extra features. They match the texture, transparency, lighting, and shading of the sampled area. Instead of replacing them, pixel for pixel, like the clone stamp. This causes the painted pixels to blend seamlessly into the rest of the image. Using the Healing Brush tool: 1. Select the Healing Brush tool in the toolbox.
Answer:
- def Lambda(strList):
- return list(filter(lambda s: (s.startswith("e")), strList))
-
- print(Lambda(["meaning", "cart", "engine", "egg"]))
Explanation:
The solution code is written in Python 3.
Lambda function is an anonymous function. It is a function without any name and it is started with keyword lambda. To write a lambda function to filter the string started with an 'e', we can write a lambda expression, s.startswith("e") that work on one input strList. If any word from strList started with letter "e", the word will be added into a list generated by filter function. At the end, the Lambda function will return the list of strings as output.
When we test the Lambda function using the sample string list (Line 4), we shall get ['engine', 'egg'] printed to terminal.
<h2>The Examples Of Users:</h2>
<h2>
The Answers Are:</h2>
- Formatted summary of information from a database
- User-friendly interface for adding to or retrieving information from a database
- Stores raw data in a relational database
- Retrieves specific information from a database. Can also be used to update, edit, and remove data
<h2>
Hope it helps*^-^*All Correct!?</h2>
Answer:
Please the code snippet below, the code was writen in Kotlin Language
Explanation:
const val inches:Int= 12 . //This is the const value
fun main(args: Array<String>) {
//this will ask the user for input
print("Enter a number")
//this will do the conversion
var valueInFeet= Integer.valueOf(readLine())*inches
print("The value in feet is $valueInFeet feet(s)")
}
Answer:
Carter score falls within the range of scores, from 300 to 579, considered Very Poor. Score is significantly below the average credit score.
Explanation:
