See Part I of this installment to learn more about Python functions.
There are three types of Python functions:
- Built-in Python functions such as
typeto check data type of an object, etc. These are the functions that Python provides to accomplish common tasks.
- User-Defined Python functions: As the name suggests these are custom functions to help/resolve/achieve a particular task.
- Anonymous Python functions, also known as lambda functions are custom-made without having any name identifier.
Built-in Python functions
Built-in functions are the ones provided by Python. We will go through a few of them now:
type(object)is used to check the data type of an object.
float([value])returns a floating point number constructed from a number or string value.
int([value])returns an integer object constructed from a float or string value, or return 0 if no arguments are given.
round(number[, ndigits])is used to round a float number up to digits specified by ndigits.
abs(value)returns the absolute value of a value provided as an argument.
format(value[, format_spec])converts a value to a ‘formatted’ representation, as controlled by format_spec.
str([object])returns a string version of object. If the object is not provided, returns the empty string.
bool([value])return a Boolean value, i.e. one of
False. value is converted using the standard truth testing procedure. If the value is false or omitted, this returns
False; otherwise, it returns
dir([object])returns the list of names in the current local scope when an argument is not provided. With an argument, it attempts to return a list of valid attributes for that object.
len(object)returns the length (the number of items) of an object. The argument may be a sequence (such as a string, bytes, tuple, list, or range) or a collection (such as a dictionary, set, or frozen set).
It is worth noting that almost all built-in Python functions take one or more arguments, perform the specific operation on it and return the output. We will keep learning about many more built-in Python functions as we progress through our Python learning journey. More information about various built-in functions can be obtained from Python official documentation
In the next installment, the author will discuss the user defined Python functions.
Visit https://www.quantinsti.com/ for ready-to-use Python functions as applied in trading and data analysis.
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