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Python provides an exception handling mechanism to handle the Exceptions when something went wrong in the Program. Python interpreter reads the code and throws an Exception when something went wrong; if the mechanism is provided to handle the Error, the Program execution continues, otherwise, the Program terminates. A very good example of an Exception is […]
In our previous article, we discussed int Class which deals with Integer numbers. In this article, I will explain float and complex classes. And these classes deal with floating point numbers and complex numbers respectively. float Class – Deals with Floating point numbers We can create floating point numbers using float() constructor. We can also […]
Numeric Types in Python are used to deal with numeric values. Python provides different classes to deal with numeric data; int, float, complex fractions and decimal are those classes. In this Article, I will explain int class which is used to deal with integers. Let’s look at this class and usage of it in Python. int Class […]
Truth value testing verify whether the value is True or False. In Python, any object can be tested for Truth Value. What really the Truth Value is? True is the Truth value. But non boolean values doesn’t have true or false values. For example, numbers do not have true or false value. They are simply […]
Python mapping objects are mutable. Currently, the dictionary is the only mapping object available in Python. Dictionary objects contain key and value pairs. Dictionary keys are non-mutable and we can add mutable or non-mutable objects as values. Defining a dictionary object We use dict constructor to create the dictionary objects. Or we can use a […]
Python provides set and frozenset Set Types to deal with unordered, unique (no duplicates) collections. Even though both of these are Set Types, there is a clear difference between them. sets are mutable whereas frozensets are immutable objects. That means, we can add or remove the elements in sets whereas frozensets doesn’t allow to modify […]
Python supports variety of operations to work with Sequence Types. Almost all Sequence Types supports the common operations which we can apply on any of the Sequence Types what we have discussed in our Previous Articles. In this Article, I am going to explain some of the Common Operations Python supports for Sequence Types. in […]
So far we have discussed the Sequence Types; list, tuple, range, str, bytes, bytearray and memoryview in Python. We have discussed creation of these types and accessing data from them. We have used index operator to access the data from the Sequence Types. By using index operator we can access ONLY one element at the given […]
Another interesting sequence type, Python provides is memoryview. This is completely different than the other sequence types so far discussed. Objects of memoryview class is allowed to access the internal memory of the objects where these objects are referencing. In C language, it is possible to access the memory using pointer variables; in Python; we use […]
A bytearray is also another sequence type in Python; which holds a sequence of bytes. Unlike bytes; bytearray objects are mutable. That means, we can modify the elements in bytearray objects. Define a bytearray Object bytearray objects are created using the bytearray class constructor. There is no relevant literal syntax to create bytearray objects. The […]