Future Trends for Python

The Forbes report states that Python showed a 456-percent growth in 2018. Quite a number, isn’t it? To put it in business terms, Netflix uses Python, IBM uses Python, and hundreds of other companies all use Python. Let’s not forget Dropbox.

The best thing about Python is that it may cut the development time in comparison to, for example, JAVA. This is what they call the power of Python. Being able to reduce the time spent on your task from 3 hours to 30 minutes seems impossible? Not anymore, just switch to Python. In this article, we are going to look into factors that have driven and will drive Python’s growth and determine the future trends for it.

It can be used for many purposes

Python can be used for many purposes, from web development to mobile app development to data science. However, it’s said that Python's status as the fastest-growing programming language is being fuelled by a sharp uptick in its use for data science.

There is a sudden rise of Python usage in app development, and that’s a fact. The app development market just got “pythonized”. But why is Python constantly increasing in popularity and adoption? Here come some answers.

More and more developers choose Python

Python is the first-choice language of a vast majority of students and skilled programmers. The huge group of both future and present programmers want to know what to learn to get actual jobs.
For most people, it makes very little sense to enter a field with knowledge about something that's not in demand. And Python is definitely in demand nowadays.
Since the number of data science students and programmers is rising, together with a rising number of Python recommendations for use, the number of Python enthusiasts will not be descending.

It is versatile

Secondly, Python’s seriously versatile. Python is a multipurpose language used for various tasks, such as web development and data science.
How could we explain Python’s current growth across these fields?
We could examine the growth in traffic from the most popular Python packages.The collection and code stack of various open-source repositories is developed by people (still in process) to continuously improve upon the existing methods.

Stack Overflow clearly indicates that pandas is by far the fastest growing Python package. It was introduced only in 2011, but it is responsible for 1% of Stack Overflow question views. Therefore it seems clear that the rise of data science is a major driver in the growth of Python as a programming language.

Python is free and open course programming language

Python is free usable and distributable because it is developed under an OSI-approved open source license. In this way Python provides an opportunity to exchange ideas between members of the Python developers community and encourage forever-better technological advancements. Thus, education as well as decrease in cost are the main the main benefits of using free Python.

Easy automation of tasks

Python continues to be used to automate various tasks. Various packages and scripts allows to introduce automation to basically any task, repetitive administrative tasks, sending emails and sending HTTP requests. Python can be used to automate the process of marketing on a blog by promoting content on various groups on Facebook or Quora. Another useful automation that can improve customer experience and can be achieved with Python is chatbot. Now, they can be not only text-based but also be quipped with voice support with natural language processing in Python. One of the most popular coding language for Machine Learning

Finally, Machine Learning. There is no special programming language dedicated to Machine Learning, but looking at the characteristics of each language that can do ML, one can choose the best that will fulfil their needs.
According to IBM, Python is one of the most popular and the best languages for Machine Learning.

Machine Learning, briefly speaking, is using data to teach a machine how to make an accurate decision.
Essentially, Machine Learning boils down to recognising patterns in your data.
An important task of a machine Learning engineer in their work life is to extract, process, define, clear, arrange, and then understand data to develop intelligent algorithms. Data is key and the understanding of data is crucial.
Why then everybody highly recommends Python? Because Python is easy to understand.
Imagine everything that exists around you is data. And it’s raw, unstructured, incomplete, vast. Python is able to deal with all of those issues.

It is battle-tested and ready-to-use

Python serves us a huge, battle-tested and ready-to-use, which can do all the heavy lifting for us: you have different packages for loading and playing around with data, visualizing the data, transforming inputs into a numerical matrix, or actual machine learning and assessment. All you need to do is write the code that would glue everything together. As simple as that.

Business applications

Python becomes more common for creating business applications because it is fast, scalable and productive. Companies from different industries take advantage of Python to create web apps, analyze data, and automate operations. Moreover, enterprise size companies such as Google, YouTube or PayPal also trust in this coding language with their large scale data operations, among others. Python is a very good choice when it comes to data-driven solutions, for example, Spotify.

So is Python the language for now and forever?

• Since it’s so easy to learn, you can start your programming journey with Python.
• Python is also really friendly, thanks to its popularity and the helpful community.
• Why is one language more popular than another? This question is not so easy to answer as you might think. The key to understanding the status quo is to determine what makes things popular in computer science (and programming) and why.
  This post shows that the number of Python’s users is rising, hence the language is becoming more and more popular, but the reasons for the language’s popularity lay in its appropriation for particular development purposes.
• The thing that makes a programming language good the way it lets developers express their thoughts in a simpler way.
• Python ‘produces’ fewer lines of code than many other languages, but is still readable and modifiable.

We are not looking for a war between computer programming languages, or trying to enforce the belief that Python’s the king. We rather believe it’s crucial to understand that trends might be changing, and there’s a room for discussion left for everyone.