Answer:
The solution code is written in Python 3:
- import keyword
-
- def checkValidVariable(string):
- if(not keyword.iskeyword(string)):
- return True
- else:
- return False
-
- print(checkValidVariable("ABC"))
- print(checkValidVariable("assert"))
Explanation:
Firstly, we need to import keyword module so that we can use its iskeyword method to check if a string is registered as Python keyword (Line 1).
Next, we create a function checkValidVariable that takes one input string (Line 3). Within the function body, we use iskeyword method to check if the input string is keyword. Please note the "not" operator is used here. So, if iskeyword return True, the True value will be turned to False by the "not" operator or vice versa (Line 4-5).
We test the function by passing two input string (Line 9-10) and we shall get the sample output as follows:
True
False
ANSWER- True
Data transformation is defined as
the process of converting data or information from one format to another.
Usually, the data or information is changed from the original format (The
format of a source system) into the required format of a new destination
system; a format that fits the objectives of the research/study.
Answer:
It automatically applies formatting based on specific rules or conditions being met. It automatically applies highlighting to selected cell ranges based on specific rules or conditions being met.
Explanation:
Decimals are based on the preceding powers of 10. Thus, as we move from left to right, the place value of digits gets divided by 10, meaning the decimal place value determines the tenths, hundredths and thousandths. A tenth means one tenth or 1/10. In decimal form, it is 0.1.
