Python Decimal: Precision Handling in Python

There are different types of data types in Python. Some built-in Python data types are:

• • Numeric data types: int, float, complex
  • String data types: str
  • Sequence types: list, tuple, range
  • Binary types: bytes, bytearray, memoryview
  • Mapping data type: dict
  • Boolean type: bool
  • Set data types: set, frozenset

1. Python Numeric Data Type

Python numeric data type is used to hold numeric values like;

• • • int – holds signed integers of non-limited length.
    • long- holds long integers(exists in Python 2.x, deprecated in Python 3.x).
    • float- holds floating precision numbers and it’s accurate up to 15 decimal places.
    • complex- holds complex numbers.

In Python, we need not declare a datatype while declaring a variable like C or C++. We can simply just assign values in a variable. But if we want to see what type of numerical value is it holding right now, we can use type(), like this:

        #create a variable with integer value.
        a=100
        print("The type of variable having value", a, " is ", type(a))

        #create a variable with float value.
        b=10.2345
        print("The type of variable having value", b, " is ", type(b))

        #create a variable with complex value.
        c=100+3j
        print("The type of variable having value", c, " is ", type(c))

2. Python String Data Type

The string is a sequence of characters. Python supports Unicode characters. Generally, strings are represented by either single or double-quotes.

        a = "string in a double quote"
        b= 'string in a single quote'
        print(a)
        print(b)

        # using ',' to concatenate the two or several strings
        print(a,"concatenated with",b)

        #using '+' to concate the two or several strings
        print(a+" concated with "+b)

3. Python List Data Type

The list is a versatile data type exclusive in Python. In a sense, it is the same as the array in C/C++. But the interesting thing about the list in Python is it can simultaneously hold different types of data. Formally list is an ordered sequence of some data written using square brackets([]) and commas(,).

        #list of having only integers
        a= [1,2,3,4,5,6]
        print(a)

        #list of having only strings
        b=["hello","john","reese"]
        print(b)

        #list of having both integers and strings
        c= ["hey","you",1,2,3,"go"]
        print(c)

        #index are 0 based. this will print a single character
        print(c[1]) #this will print "you" in list c

4. Python Tuple

The tuple is another data type which is a sequence of data similar to a list. But it is immutable. That means data in a tuple is write-protected. Data in a tuple is written using parenthesis and commas.

        #tuple having only integer type of data.
        a=(1,2,3,4)
        print(a) #prints the whole tuple

        #tuple having multiple type of data.
        b=("hello", 1,2,3,"go")
        print(b) #prints the whole tuple

        #index of tuples are also 0 based.

        print(b[4]) #this prints a single element in a tuple, in this case "go"

5. Python Dictionary

Python Dictionary is an unordered sequence of data of key-value pair form. It is similar to the hash table type. Dictionaries are written within curly braces in the form key:value. It is very useful to retrieve data in an optimized way among a large amount of data.

        #a sample dictionary variable

        a = {1:"first name",2:"last name", "age":33}

        #print value having key=1
        print(a[1])
        #print value having key=2
        print(a[2])
        #print value having key="age"
        print(a["age"])

So that’s all for today about Python data types. Don’t forget to run every piece of code on your own machine. Also, don’t just copy-paste. Try to write the lines of code on your own – Essential Guide Handling