Python tutorial boolean and none
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python booleans and none: a comprehensive tutorial
this tutorial delves into two fundamental data types in python: *booleans (bool)* and **none (nonetype)**. understanding these types is crucial for controlling program flow, handling optional values, and writing robust and efficient code.
*1. booleans (bool): representing truth and falsehood*
booleans are a simple yet powerful data type representing only two possible values: `true` and `false`. they are fundamental for conditional logic, controlling the execution of different code paths based on whether a condition is met.
*1.1. values and conversion*
*literal values:* python provides the keywords `true` and `false` (note the capitalization) to directly represent boolean values.
*truthiness and falsiness:* many other data types in python can be implicitly converted to boolean values in a boolean context (like in an `if` statement). this is determined by their "truthiness" or "falsiness."
*truthy values:* values that evaluate to `true` in a boolean context include:
non-empty sequences (strings, lists, tuples)
non-zero numbers
non-empty dictionaries and sets
all objects, unless their class defines a `__bool__()` or `__len__()` method that returns `false` or 0, respectively.
*falsy values:* values that evaluate to `false` in a boolean context include:
`false` itself
`none`
zero of any numeric type (0, 0.0, 0j)
empty sequences ('', [], ())
empty dictionaries and sets ({}, set())
*explicit conversion:* you can explicitly convert a value to a boolean using the `bool()` function.
*1.2. boolean operators*
python provides several operators that work specifically with boolean values:
*`and` (logical and):* returns `true` only if both operands are `true`. it returns the first falsy operand if it exists; otherwise, it returns the last operand.
*`or` (logical or):* returns `true` if at least one of the oper ...
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