In Python, lambda functions are anonymous functions, meaning they don't have a name. They are created using the `lambda` keyword. Lambda functions are often used to define short functions where you can specify a function on the spot.

The basic syntax of a lambda function is as follows:

```python
lambda arguments: expression
```

- `lambda`: The keyword indicating the start of a lambda function definition.
- `arguments`: The list of arguments the function takes.
- `expression`: The expression executed when the function is called. The result of the expression is returned as the function's value.

The key feature of lambda functions is their concise syntax. They are convenient when you need to define a simple function without writing a lot of code. 

square = lambda x: x**2
result = square(5)
print(result) 

Now we will consider what a function in Python and some basic techniques used to create functions is: what are the arguments of the function, what is the return value of the function, what is the body of the function, and how to use the function in the code.

Python is a fairly flexible language in terms of creating functions. This is especially true in setting function arguments - there are several different types of function arguments, and you can choose any of them depending on the problem you are solving. Let's now take a closer look at them.

The return value of a function is the direct result of the execution of the function, which we can use in the program. There are several types of function return values - now we will consider the most commonly used.

Now it's time to consider additional topics to help make your functions more flexible and solve more complicated tasks. You will understand recursion, lambda functions, and some basics principles of writing effective and maintainable functions.

Python Functions Tutorial

Lambda Functions

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