Advanced Python Concepts

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1. Lambda Functions
Lambda functions are particularly useful in cases where we need to have a short one-time use function.
Syntax: lambda arguments: expression

2. Exceptional Handling
An exception is a condition that occurs during the execution of the program and interrupts the execution.
We use to try and except blocks to handle exceptions in python. To handle multiple exceptions at a time we use multiple except blocks.

3. Decorators
Decorators are higher-order functions that modify other functions' behavior without affecting their core functionalities. Unlike other objects, they can be defined inside a function, passed as an argument in other functions, and even return as a function.

4. Comprehensions
This technique allows us to create a list, dictionary, or set using an existing iterable, which is named list comprehension, dictionary comprehension, and set comprehension, respectively.

Below is an example of list comprehension

5. Generators
Generators are lazily-evaluated iterators that render items only when requested, and thus they’re very memory efficient. They should be used when you’re dealing with a large amount of data sequentially.

6. Regular Expression
Regular Expressions are used in programming languages to filter texts or text strings. It's possible to check if a text or a string matches a regular expression