**PYTHON PROGRAMMING** data = ''' Apr 12, 5:00, S=70% APR 14, 6:30, S=60% #Server restarts Apr 14, 6:35, S=15% #Holiday APR 16, 13:35, S=80% May11, 15:22, S=14% Add new lines Random lines such as this one ''' pattern = re.compile = ("^([a-zA-Z]+) ?([0-9]+)[, ]*[0-9:]+[^,]+, ?S=([0-9]+)d?[$%]") for data_line in data.split('\n'): Using the incomplete code that shows above, fill out the remaining code with the appropriate regex pattern to match the entries in the data string (see slide 15 + 17) for the server logs. Apply your regex in the loop and print out results only if it matches the regular expression.
Operations
In mathematics and computer science, an operation is an event that is carried out to satisfy a given task. Basic operations of a computer system are input, processing, output, storage, and control.
Basic Operators
An operator is a symbol that indicates an operation to be performed. We are familiar with operators in mathematics; operators used in computer programming are—in many ways—similar to mathematical operators.
Division Operator
We all learnt about division—and the division operator—in school. You probably know of both these symbols as representing division:
Modulus Operator
Modulus can be represented either as (mod or modulo) in computing operation. Modulus comes under arithmetic operations. Any number or variable which produces absolute value is modulus functionality. Magnitude of any function is totally changed by modulo operator as it changes even negative value to positive.
Operators
In the realm of programming, operators refer to the symbols that perform some function. They are tasked with instructing the compiler on the type of action that needs to be performed on the values passed as operands. Operators can be used in mathematical formulas and equations. In programming languages like Python, C, and Java, a variety of operators are defined.
**PYTHON PROGRAMMING**
data = '''
Apr 12, 5:00, S=70%
APR 14, 6:30, S=60%
#Server restarts
Apr 14, 6:35, S=15%
#Holiday
APR 16, 13:35, S=80%
May11, 15:22, S=14%
Add new lines
Random lines such as this one
'''
pattern = re.compile = ("^([a-zA-Z]+) ?([0-9]+)[, ]*[0-9:]+[^,]+, ?S=([0-9]+)d?[$%]")
for data_line in data.split('\n'):
- Using the incomplete code that shows above, fill out the remaining code with the appropriate regex pattern to match the entries in the data string (see slide 15 + 17) for the server logs.
- Apply your regex in the loop and print out results only if it matches the regular expression.
Bonus: Try to extract data after April 15 and where the server storage was above 50 (S >= 50) (hint: may need grouping)
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