MULTIPLE OR STATEMENTS PYTHON CODEBecause Python has no Switch Statements, you often end up writing a code like the following to choose between different and multiple If. If I ask you hey which conditions will be checked here, you can easily answer this question. Use Table Functions for Multiple If/Elif statements. We can easily see how many conditions are there and what they are. To implement these, we need a second condition to test. not Reverses the Boolean value returns False if the statement is true, and True if the statement is false. or Returns True if at least one of the statements is true. It is so simple to read and follow the purpose of conditions. There are three possible logical operators in Python: and Returns True if both statements are true. The indented block is only executed if the condition condition is True.2. This makes it possible to decide at runtime whether certain program parts should be executed or not. The if statement is used to control the program flow in a Python program. Let’s write permissions.SAFE_METHODS explicitly to understand better: if thod in ("GET", "HEAD", "OPTIONS"): # Whether it is a read-only request Why we use conditional statements in Python Conditional statements in Python. if thod in permissions.SAFE_METHODS: # Whether it is a read-only request In the case of multiple conditions, using in keyword considerably increases readability.įor example, in Django REST Framework (DRF), if we want to test whether a request is a read-only operation, we should just check whether the request’s HTTP method ( thod ) exists in SAFE_METHODS, which is nothing but a tuple containing "GET", "HEAD" and "OPTIONS". Can i dynamically change operator '>' to '<' I have multiple lines of code, so I can't change it to lambda function. Isn’t the sophisticated solution pretty easy to read? Yes, it is! Look at that, we can easily follow the conditions. I have if statement, that looks like this: if a > b: do stuff. Why and when we should prefer “in” over “or” Yes, listing multiple with statements on one line is exactly the same as nesting them, according to the Python 2.
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