answer:1. The following is the code using anonymous lambda functions:```pythonnumbers = [1, 2, 3, 4, 5]squared_numbers = list(map(lambda num: num 2, numbers))```This code does the same thing as the original, but it is more efficient and legible due to the use of a lambda function and the map function. Instead of defining a named function and then using a loop to square each number in the list, this code uses a lambda function to square each number in the list directly within the map function. The map function applies the lambda function to each number in the list, returning a new list which is then converted back to a list using the list function.2. Lambda functions are powerful and concise, but they can be difficult to understand for those not familiar with them. Additionally:- Lambda functions are limited in their complexity. They cannot include statements or expressions which cannot be included in a single line of code. For instance, you cannot use a loop or a conditional with more than one clause.- When debugging, lambda functions do not help as they have no names, hence the traceback does not contain any useful information- For example, consider this lambda function which tries to encapsulate an if/else condition within a single line of code. It can be difficult to understand for those unfamiliar with ternary operations in Python:```pythonf = lambda x: 'Even' if x % 2 == 0 else 'Odd'```3. Here's an example of a function which throws an error if a lambda function is passed, but works regularly if a normal function is passed.```pythondef check_function(func): if (func.__name__ == "<lambda>"): raise TypeError("Lambda function passed instead of regular function") else: print("Regular function passed")# Test with lambda functioncheck_function(lambda x: x2)# Output: TypeError: Lambda function passed instead of regular functiondef square(num): return num 2# Test with named functioncheck_function(square)# Output: Regular function passed```In this function, we are checking `func.__name__` which gives the name of the function. When we pass a lambda function, its name is `"<lambda>"`, so we can check for this to see if a lambda function was passed. If a regular function is passed, its name will be whatever it was defined with, so we will not raise an error for these.

answer:This is a basic programming construction in many programming languages. Here is how you might do it in a few common languages:Python:```python# replace 'code_block' with the code you want to executefor i in range(10): code_block```Java:```java// replace 'codeBlock();' with the code you want to executefor(int i = 0; i < 10; i++){ codeBlock();}```JavaScript:```javascript// replace 'codeBlock();' with the code you want to executefor(let i = 0; i < 10; i++){ codeBlock();}```C++:```c++// replace 'codeBlock();' with the code you want to executefor(int i = 0; i < 10; i++){ codeBlock();}```Ruby:```ruby# replace 'code_block' with the code you want to execute10.times do code_blockend```These examples would all execute the block of code ("codeBlock()" / "code_block") 10 times. You just need to replace this with your own code.

answer:First, in order to find the average age, you should add up all the ages together. 21 + 32 + 33 + 20 + 28 = 134.The second step is to divide that total by the number of people there are, which in this case is 5. 134 divided by 5 gives us an average age of 26.8.

answer:Sure, let's solve this problem using Python as our programming language. Here is how we can do using Python list's sort function:```pythondef sort_emails(emails, descending=False): # Sorting the emails list based on their lengths emails.sort(key=len, reverse=descending) return emailsemails = ["[email protected]", "[email protected]", "[email protected]"]print(sort_emails(emails))print(sort_emails(emails, True))```The function `sort_emails()` sorts the input list emails based on their lengths. The parameter `descending` defines the order of sorting. If it's True, the emails are sorted in descending order, and if it's False, the emails are sorted in ascending order.The function `sort()` is a built-in function in Python that sorts items in a list in a specific order (either ascending by default or descending if `reverse=True` is passed as an argument). The `key` parameter of `sort()` is a function that serves as a key or a basis of sort comparison. Here, we use `len` as the key function which will imply sorting according to lengths of the emails.The output of this code will be:```['[email protected]', '[email protected]', '[email protected]']['[email protected]', '[email protected]', '[email protected]']```The first one is in ascending order of length, and the second one is in descending order of length.

answer:Here is a program in GoLang that applies an iterative method to calculate factorial.```package mainimport ( "fmt" "math")// FactorialIterative calculates the factorial of x by iterative method.func FactorialIterative(x int) int { if x == 0 { return 1 } result := 1 for i := 1; i <= x; i++ { result *= i } return result}func main() { fmt.Println(FactorialIterative(5)) // Output: 120 fmt.Println(FactorialIterative(3)) // Output: 6 fmt.Println(FactorialIterative(8)) // Output: 40320}```This code defines the function FactorialIterative which takes a positive integer as input and returns the factorial of the input number. If the input is 0, the function returns 1 (as 0! is defined to be 1). Otherwise, it calculates the factorial by iterating from 1 to the input number and multiplying the result by each integer in the range.The main function calls FactorialIterative with different input values and prints the results.

answer:{"Brand": [], "Drug": ["isosorbide dinitrate", "Alcohol"], "DrugGroup": ["vasodilators"], "UnapprovedDrug": []}