Useful functions in python 3 python tutorials
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okay, let's dive into a comprehensive tutorial on useful functions in python 3. we'll cover a variety of built-in functions, functions from standard libraries, and even some concepts to help you define your own reusable functions. i'll provide clear explanations and plenty of code examples to illustrate how to use them effectively.
*i. core python built-in functions*
python has a rich set of built-in functions that are always available without needing to import any modules. these are the workhorses of many python programs.
*`print()`:* displays output to the console.
*`len()`:* returns the length of an object (string, list, tuple, etc.).
*`type()`:* returns the type of an object.
*`input()`:* reads input from the user.
*`int()`, `float()`, `str()`, `bool()`:* type conversion functions.
*`range()`:* generates a sequence of numbers.
*`sum()`:* calculates the sum of elements in an iterable (list, tuple, etc.).
*`min()`, `max()`:* finds the minimum and maximum values in an iterable.
*`abs()`:* returns the absolute value of a number.
*`pow()`:* calculates the power of a number.
*`round()`:* rounds a number to a specified number of decimal places.
*`sorted()`:* returns a new sorted list from an iterable.
*`reversed()`:* returns an iterator that accesses the given sequence in the reverse order.
*`enumerate()`:* adds a counter to an iterable and returns it as an enumerate object.
*`zip()`:* aggregates elements from multiple iterables.
*`all()`:* returns `true` if all elements in an iterable are true.
*`any()`:* returns `true` if any element in an iterable is true.
*`map()`:* applies a function to each item in an iterable and returns an iterator.
*`filter()`:* filters elements from an iterable based on a function (returns an ...
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