We are here to stay with machine learning, e-commerce, and other advanced technologies. So are the languages that enable them. Python could be considered the most well-known programming language, and its mastery can lead to lucrative career opportunities.
In this Python tutorial, we’ll explain the features that make Python such a user-friendly language before delving into the concepts of the language. We’ll also give codes to illustrate the most common programming practices we use every day.
Python is an interpreter-based programming language that was first released in 1991 and is extensively used in various applications. Programmers, both experienced and novices, love Python due to its clarity and use of whitespace and the ability to scale and adapt. Although the initial Python 3 version was released in 2008, the current Python 3 debuted in 2008. The latest release, Python 3.9, is out as of the latter half of 2020.
Python is so deeply rooted within the development world that it has a whole style named in its honor. “Pythonic style” refers to the code style that takes advantage of the unique Python features and adheres to the principles laid out by the author of “The Zen” of Python that result in code that’s clear and easy to read.
This Python course will focus on the various Python applications before explaining how to utilize Python in multiple situations.
When it concerns creating scalable web-based applications, Python is a popular choice. Its security, readability, and ease of use are unmatched by any programming language that allows even novices to begin their first web-based application without much effort.
Python is also a good programming language to work with data. Python’s library Pandas and NumPy offer tools such as DataFrames, which help make data storage and manipulation easy to manage. Python is so essential to data analysis that most data analysts need an understanding of the language to gain insights and process raw data.
When you had to select one programming language compatible with machine learning or artificial intelligence, what would you pick? Most likely Python and possibly due to TensorFlow, which is an open-source deep learning framework based on Python. Python can support machine learning models that allow technologies such as facial recognition predictive analytics, natural language processing, and hacker detection.
These are only a few applications available for Python. It is also an excellent language for developing games, Enterprise applications, game development, and web scraping, to name a few. Once you’ve understood the ways to use Python and its various applications, let’s take a look at how we can begin using it in our everyday programming.
A developer’s journey usually begins with printing an eloquent “Hello world!” to the console. Every language has a variant of a print function, and Python’s version is simple to remember print(). All you have to do is give input into the program.
Variables in Python refer to objects. To use a variable, all you have to do is create the name and assign it to a value.
“Don’t repeat yourself” (DRY)”Don’t repeat yourself” (DRY) is an essential principle in sound software engineering. These functions help you make your code as DRY-compliant and efficient as is possible by encapsulating the desired functionality. Then, you can call your functions from other places within your code, and they’ll perform the same procedure depending on the input you provide.
This means you don’t have to duplicate and paste the exact instructions each time you want to add, for instance, two numbers.
The sequence that the script’s code is executed is called control flow. In Python-like several other languages, programs’ clauses, conditional expressions, loops, and functions all affect the flow of control for the language.
In many tasks, you’ll be in a situation where you’ll need an assertion to run when the conditions are met. For example, if you’re a teacher, you could need to issue heads-up notices to students if their grades are below 60.
To accomplish this using the help of a Python application, you’ll need to use the compound expression when you want to utilize the words if, elif, and else keywords.
We’ve already covered the basics of data types, such as integers and strings; however, Python also comes with complex data structures. Sets, lists, tuples, dictionaries, and compound data structures are integral components of the language, and all can be used to store complicated data streams.
The List is a type of variable that lets you keep multiple data pieces organized. It is possible to initialize an empty list using round brackets or fill it in at the same time after you have declared it.
This article focused on the applications of Python before providing an outline of the language’s most important fundamental concepts and best practices in programming. We covered assigning variables, declaring and leveraging functions, and controlling flow using data types.
If you’ve enjoyed discovering Python, take that next step. An online course called The Master Python Programming will have you on the path to learning the programming language and preparing yourself to be successful as a developer.