The advantage of Python is its consistency and relative simplicity. Sources do not need to be compiled. Development is faster than in many other languages. And it is great for beginners.

What are the peculiarities?

Throughout its existence it has been fruitfully used and developed dynamically. Standard libraries are created to support modern technologies and have a number of features:

• Cross-platform

Its interpreters exist for many platforms. Therefore, running it on any OS should not be a problem.

• A huge number of services, development environments, and frameworks are available with Python

It’s easy to find the right product for the job

• Ability to include libraries written in C

This allows you to increase efficiency, improve speed

• Availability of various sources of information about Python

The answer to any question that arises is easy, as there is a lot of free literature, video tutorials, ready-made sources and templates for work in the public domain.

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Top 5 important applying

1. Web development

It’s only recently that Python frameworks have become very popular in web development – Django и Flask. They make it easier to write back-end application code in Python. This is the code that runs on the server, and not on users’ devices and browsers (frontend code).

• Flask. Flexible, easy to use, minimalistic;
• Django. “All Inclusive”: admin panel, ORM, database interface, directory structure for finished projects and software applications.

2. Data Science: Machine Learning, Data Analysis and Visualization

Machine learning is now popular and on everyone’s lips. When using ML, methods of working with artificial intelligence are involved. There are many machine learning algorithms that are used in face, voice, image and other systems.

Python has various libraries and frameworks for machine learning. The two most popular are scikit-learn and TensorFlow.

• scikit-learn has several popular learning algorithms built into it;
• TensorFlow is a lower level library. This allows you to create your own algorithms.

If you are new to machine learning, the best place to start is with scikit-learn. More experienced developers who run into efficiency issues should take a closer look at TensorFlow.

This programming language is suitable for writing parsers that allow you to collect information on the global network. And with its help they serve cloud services, data storages, etc.

3. Process Automation

This implies scripting – writing scripts to automate simple tasks. It is possible to write quite plain code that will work independently. Python also has a simple syntax that allows you to write scripts quickly, and ease of debugging due to the fact that the code is not compiled before running.

4. System administration

Another plus to the features of Python are the language interfaces that allow you to manage the services of the Windows, Linux, and other operating systems. Thanks to this, it opens up a lot of opportunities for creating portable programs. This language is used to write applications used by system administrators. Thus, searching and opening files, launching applications is accelerated, and calculations are facilitated.

5. Complex computing processes

A dedicated NumPy math extension that works great with arrays, equation interfaces, and more. As soon as the extension is installed on the computer, Python seamlessly integrates with formula libraries.

But NumPy isn’t just for computing. It helps to create animated elements and draw objects in the 3D environment, while doing parallel computing.

In addition to calculations, Python allows you to visualize the received data, which is quite convenient.

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Conclusion

The possibilities of python cover a wide functional range of practical applications. such universality and popularity of the language means that its knowledge will always be in demand in the labor market.