Topic 1: Let’s turn complex financial numbers into easy codes and graphs!
Python is an easy to learn, powerful programming language. Its efficient high-level data structure helps us efficiently analyze BIG DATA. The following examples are coded with Jupyter Notebook.
1. Using Python as a calculator
The print( ) function writes the value of the argument it is given.
The type of “The value of i is” is string, so it required a quote while coding. Strings are printed without quotes, and a space is inserted between items, so you can format things nicely.
While coding, we use = (equals sign) to assign.
a = 10 means that the variable is assigned as 10.
a = a+5 (or a
+=5) means that the variable is once again assigned as a+5.
The calculation symbols
**= will reassigned to the variable after calculation.
A variable is created when we first assign value to it.
A variable does not need to be declared with any particular type. However, if we want to specify the data type of the variable, this can be done with casting.
In Topic 1, we learn how to use Python as a calculator and how to assign a variable.
Upcoming in Topic 2,
we will learn the different data types used in Python.