3 main areas of application of Python

Python is a scripting programming language that is used in many areas ranging from IOS and Android to server OS. Let's look at three main areas of its application.

1. Web development
2. Machine learning
3. Process Automation

Web development

Python is used in back-end development and has two main frameworks: Django and Flask. They make it easier to write code for the backend of applications.

Why is a framework needed?

Frameworks allow you to easily and quickly create the basic logic of the Back-End side. The back end includes mapping different URLs to parts of Python code, working with databases, and creating HTML views to display on users' devices.

Which framework to choose?

Django is the choice of those who want to automate the workflow, as this framework does a lot of decisions on its own and this reduces development time. For example, it already has a built-in implementation of a
user account and you only need to connect it.

Flask is suitable for those who want to manage a lot of space and be able to solve problems on their own from scratch. It's a microframework and only provides basic development capabilities. It doesn't have built-in problem solutions like Django does, and you have to implement them yourself.

Machine learning

Machine learning is the science of making AI (Artificial Intelligence) learn and act like a human, and so that it constantly improves and develops based on the data we provide about the real world.

Where and how to study machine learning?

You can get basic knowledge through courses or (in my opinion, the most effective option) YouTube videos. There are many useful videos, go and watch them.

You can get acquainted with machine learning in practice at keggle.com. The first, standard task is to write a program that, based on the given data, will analyze which passengers of the Titanic are more likely to survive in the wreck of the liner. Winners receive solid cash prizes. The site also has great tutorials for beginners.

Process Automation

One of the most popular uses for Python is writing small scripts to automate various workflows and processes.

For example, you need to overwrite data from Word to an Excel file. This can be done manually, but when there are a lot of such files, writing a script that will do it yourself and quickly can come to the rescue.

There are several reasons to use Python for automation tasks:

• simple syntax that allows you to quickly write scripts;
• ease of debugging because the code is not compiled before running.