As it is normal, you can perform math tasks (don’t hesitate to use the same number of enclosures as expected to play out every one of the activities you need!) and control content strings effectively with Python.
You can likewise dole out the consequences of tasks to factors and show them in the screen. A convenient element in Python is connection – simply supply the estimations of factors and/or strings in a comma-delimited rundown (inside enclosures) to the print capacity and it will restore the sentence formed by the things in the arrangement
Note that you can blend factors of various sorts (numbers, strings, booleans, and so on) and once you have doled out an incentive to a variable you can change the information compose without issues later (consequently Python is said to be a progressively composed dialect).
On the off chance that you endeavor to do this in a statically composed dialect, (for example, Java or C#), a mistake will be tossed.
>>> a = 5
>>> b = 8
>>> x = b / a
>>> print(b, “divided by”, a, “equals”, x
In Object Oriented Programming (OOP), all entities in a program are represented as objects and thus they can interact with others. As such, they have properties and most of them can perform actions (known as methods).
For example, let’s suppose we want to create a dog object. Some of the possible properties are color, breed, age, etc, whereas some of the actions a dog can perform are bark(), eat(), sleep(), and many others.
Methods names, as you can see, are followed by a set of parentheses which may (or may not) contain one (or more) arguments (values that are passed to the method).
Let’s illustrate these concepts with one of the basic object types in Python: lists.
Illustrating methods and properties of objects: Lists in Python
A list is an ordered group of items, which do not necessarily have to be all of the same data type. To create an empty list named rockBands, use a pair of square brackets as follows:
In this article we have provided a brief introduction to Python, its command-line shell, and the IDLE, and demonstrated how to perform arithmetic calculations, how to store values in variables, how to print back those values to the screen (either on its own or as part of a concatenation), and explained through a practical example what are the methods and properties of an object.
In the next article we will discuss control flow with conditionals and loops. We will also demonstrate how to use what we have learned to write a script to help us in our sysadmin tasks.
Does Python sound like something you would like to learn more about? Stay tuned for the second part in this series (where among other things we will combine the bounties of Python and command-line tools in a script), and also consider buying our Ultimate Python Coding bundle (more details here).
As always, you can count on us if you have any questions about this article. Just send us a message using the contact form below and we will get back to you as soon as possible.