Easy trick for complex sorting in python shorts subscribe

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sure! let's talk about an easy trick for complex sorting in python using a combination of the built-in `sorted()` function and custom sorting keys. this approach can handle complex data structures and multiple sorting criteria effectively, making it a powerful tool for data manipulation.
tutorial: complex sorting in python
#### overview
in python, the `sorted()` function allows you to sort any iterable (like lists, tuples, etc.). by default, it sorts in ascending order based on the elements' natural order. however, you can customize the sorting behavior using the `key` parameter.
#### key parameter
the `key` parameter takes a function that extracts a sorting key from each element in the iterable. this allows you to sort based on specific attributes of complex data structures, such as dictionaries or objects.
#### example scenario
let's say we have a list of dictionaries representing students with their names, grades, and ages, and we want to sort them first by grade (descending) and then by age (ascending).
code example
explanation
1. **data structure**: we have a list of dictionaries where each dictionary contains a student's `name`, `grade`, and `age`.
2. **sorting logic**:
- we use `sorted()` with a `key` that is defined by a lambda function.
- the lambda function returns a tuple: `(-student['grade'], student['age'])`. this means:
- we sort by grade in descending order (hence the negative sign).
- if grades are the same, we sort by age in ascending order.
3. **output**: the sorted list will first prioritize students with higher grades, and in the case of ties, it will sort them by age.
output
after running the code, you should see output similar to this:
conclusion
using the `sorted()` function with a custom key allows for flexible and powerful sorting capabilities in python. this method can be easily adapted for various complex data types and multiple sorting criteria, making it an essential tool in a python progr ...
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