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3 popular applications for programming in Python

One of the programming languages ??that has won over programmers in recent times is Python. Not only because of its ease of use compared to other languages, but also because it can be applied in more complex areas – and this without hindering its use. One of the definitions that best exemplify this statement is the following: Python is an expressive language, in which it is easy to translate reasoning into an algorithm.

As it is an easily applicable language in solutions that demand greater reasoning, Python has been used frequently for scientific applications, including those involving data science, which in turn encompasses areas such as machine learning, analysis and visualization of large quantities. of data. It may seem complicated at first, but ask anyone who programs using Python and see an unanimous opinion: one of the most fun languages ??to work with.

So, how exactly can you use the Python language? Below, we list three areas of great potential and which are among the most popular among the community.

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1. Web development

Python-based web development frameworks, like Django and Flask, have become very popular. These web frameworks help to create back-end codes with the Python server. This is the code that runs on your server, as opposed to the code used on common users' devices and browsers, which has a front-end code.

And why need to use this type of framework? Because a web structure facilitates the creation of back-end code logic, which includes mapping different URLs to parts of the Python code, dealing with databases and generating HTML files that users see in their browsers. Both Flask and Django are great formats, although the former offers more simplicity and flexibility, while the latter has a more comprehensive experience.

For beginners, perhaps Flask is a better choice as it has fewer components to handle and is more customizable. Now, if you prefer something more solid to create something in a more centered direction, then Django should be the best option.

2. Data science

Data in the digital landscape has become much more valuable items than money and other currencies. In this scenario, data science groups several areas of knowledge and in-depth study, including machine learning, used mainly in services, platforms and concepts based on artificial intelligence.

As its name suggests, machine learning makes a system, algorithm or mechanism used in some program or device to adapt to everything it has already absorbed. Generally, the technique implements an algorithm that automatically detects new input patterns, being able to recognize differences between one pattern and another. That is why machine learning has been applied mainly in online service recommendation systems (Amazon, Netflix, YouTube), facial and voice recognition, among other applications.

In the case of Python, the most common uses of the language are the scikit-learn and TensorFlow libraries. Scikit-learn comes with some of the most popular machine learning algorithms integrated. TensorFlow is yet another low-level library that allows you to create custom algorithms.

3. Scripting language

Scripts generally refer to recording small programs designed to automate simple tasks. Python is a good programming language for this type of concept because it has a relatively simpler and easier to write syntax than other languages. At the moment, Python 3 is more modern and more popular than the previous version, so it ends up being the most recommended option.

Python Programming Course

THE IT Trends Network * offers a course focused on the Python language. The methodology is quite simple and converses with this programming language which is friendly, intuitive and highly demanded. You will learn the essentials in Python and open the door to the world of application development such as chatbots, automated tests, data mining, machine learning, web development and even artificial intelligence.

* IT Trends is an edtech whose mission is to prepare and educate professionals for the digital economy through information, analysis and courses.

With information: freeCodeCamp, PyScience-Brasil