Certainly! Here are some lesser-known Python features and techniques that can be handy:

1. Context Managers with “contextlib”:

• The “contextlib” module provides utilities for working with context managers. You can use the “contextlib.contextmanager” decorator to define your own context managers without having to create a separate class. This is useful when you want to manage resources that need to be cleaned up after use.

1. Underscore (_) for Ignoring Values:

• If you don’t need the value of a particular variable, you can use the underscore (_) to indicate that it’s a throwaway variable. This convention is helpful when you’re iterating over a sequence and don’t need the individual values.

1. Multiple Assignments in a Single Line:

• Python allows you to perform multiple assignments in a single line using tuples. For example: “a, b, c = 1, 2, 3” assigns 1 to ‘a’, 2 to ‘b’, and 3 to ‘c’ simultaneously.

1. Enumerate with an Offset:

• By default, the “enumerate” function starts counting from 0. However, you can provide an optional second argument to specify the starting index. For example: “for i, value in enumerate(sequence, start=1)” starts the count from 1.

1. Function Argument Unpacking:

• Python allows you to pass arguments to a function using the “” and “” operators to unpack sequences and dictionaries, respectively. This can be useful when you have a list or tuple of arguments that you want to pass to a function. For example: “my_func(args)” or “my_func(kwargs)”.

1. Extended Iterable Unpacking:

• Python 3 introduced extended iterable unpacking, which allows you to assign multiple values from an iterable to multiple variables in a single line. For example: “a, *rest, c = my_list” assigns the first element to ‘a’, the last element to ‘c’, and the remaining elements to ‘rest’ as a list.

1. Chaining Comparison Operators:

• Python allows you to chain multiple comparison operators in a single line, which can make your code more concise. For example: “1 < x < 10” checks if ‘x’ is greater than 1 and less than 10.

1. Using “collections.defaultdict” for Default Values:

• The “defaultdict” class from the “collections” module provides a dictionary-like object where a default value is specified for missing keys. This can be helpful when you want to avoid key errors. For example: “my_dict = defaultdict(int)” creates a dictionary where missing keys will have a default value of 0.

These are just a few examples of lesser-known features and techniques in Python. Python is a rich language with many powerful features, so exploring the Python documentation and community resources can help you discover even more tips and tricks.