What is common between Netflix, Google, Uber, Spotify, Apple and Microsoft? All these giants of their industries believe the answer to the question “What is the future of Python?” is that it is extremely bright. In 2021, Python celebrated the 30th anniversary of its launch and showed no signs of slowing down in developing as the most preferred programming language in the contemporary world.
With more than 25 million amateur users and more than 8 million professional developers trusting Python as their go-to language, it seems to be in the lead position going into the third decade of the 21st Century. In this blog post, we will look at what the future has in store for Python and what Python has in store for us in the future.
It must be mentioned that Python’s future-making ability is no mere accident: years of steady corporate investments from companies like Google and Amazon Web Services have ensured that Python has the best support ecosystem it needs to thrive as a programming language. The dues seem to have paid off: Python today boasts of an extremely immersive and trustworthy community that stands by its programmers and developers by offering well-rounded peer to peer support.
Let’s take a quick peek at why Python is the programming language of the future.
The Millenial Coding Language: Python’s Growing Open Source Community Appeal
The Millennial Appeal: 40% of all Python users belong to the age group of 21-29 years, with an additional 10% belonging to the 18-20 years cohort.
Perfect for Beginners: Additionally, as of 2020, almost a third of all Python users have less than one year of coding experience. This statistic speaks for itself insofar as Python’s mass appeal and upward trajectory in the app and web development community are concerned!
Preferred Tool for Independent Development: Not only this, almost 50% of Python users work on their projects as independent contractors or freelance creators, with estimates suggesting that the development and analytics industry is looking to hire more than 40,000 Python Developers.
The rise in Python’s popularity also has to do with its community of trustworthy and acclaimed peers who leave no stone unturned in helping each other. While many other programming languages have lost their ability to accommodate evolution and facilitate smoother integration with the innovations of its time, Python has been consistently keeping in touch with the latest trends. In this respect, Python has undoubtedly succeeded, as a result of which it holds one of the keys to the future of technological progress.
Delivering Tomorrow More Efficiently: Python’s Future in Data Science and Smart Analytics
As the global business and entertainment ecosystems take a giant leap through the advancements offered by big data analysis, Python is poised to enable the pivot. By making tools built specifically for tasks such as complex calculations, data visualisation problems, and traffic-based content management, Python is fast becoming the bedrock of Data Science and Smart Analytics. Let’s take a closer look at how and why:
Python’s Meteoric Rise: From 2016-2018, KDNuggets and Kaggle report that Python overtook R as the most used programming language for data science-related purposes: today, more than 65% of all analytics professionals use Python as their primary language. Python has thus made itself indispensable to data scientists.
- Effectiveness through Simplicity: Through tools like Numpy, Matplotlib and Pandas, Python offers simple ways of performing massive calculations or producing effective data visualisations, both of which are extremely necessary for even the basics of data science. As a result, a whopping 62% of Machine Learning experts and Data Scientists use Python as their primary language.
- The Developer’s Choice: As companies and conglomerates are seeking to realise and implement data analytics strategies to achieve more profitability, faster turnover cycles, and targeted content regulation, more and more people are seeking to hire Python Developers.
- Data Science Driving Python’s Growth: Acording to surveys in 2018 and 2020, more developers and programmers are using Python for data science rather than actual web or app development!
Python’s rise is already visible from the use of Python by companies like Amazon Web Services, Spotify and Google, to mention a few. Therefore, Python’s symbiotic relationship with Data Science is one of the essential reasons why Python is the language of the future!
Learning for the Future: AI, Automation and Machine Learning
It is no secret that we are edging closer to a time where practical applications of machine learning and automation will be introduced in the forms of self-driving cars, social administration programmes, medical diagnosis, and many more! This new reality will most certainly be written in the language of Python.
- Powered To Eliminate Recurring Tasks: Python boasts of hundreds of diverse libraries which store more than 150,000 packages. This allows developers and programmers to eliminate or automate recurring tasks with increased operational efficiency. As a result, more than 85% of respondents in a recent survey revealed that they prefer Python for Deep Machine learning.
Achieve Basis Tasks Faster in the Future: Python’s future growth looks like an upward curve as more and more developers and companies seek to eliminate redundancies to save both time and money lost for basic tasks.
Great for Traffic-Based Content Management: Python’s libraries, such as Scikit, Pandas, and Tensorflow, provide a flexible and dynamic foundation based on which projects such as big-data processing pipelines and targeted content delivery can be effectively achieved at a minimal cost. Think of, for instance, how the Spotify algorithm decides precisely the right music to show you: this is made possible because of Python-based app development!
Flawless Compatibility with Other Languages: Python is a blessing for machine learning and robotics programmes written in C or C++ as it enables smooth integration, which can interface with almost any other programming language. Thus, Python opens up the possibility of reviving projects that might have earlier not been feasible in other languages!
Tailor-made for Neural Networking: In projects involving neural networking (to programme reactions to recurrent patterns), a language like Python, which is close to the language of speech, is essential for any probability of success. Thus, for all such projects involving deep learning and analysis of patterns in data, Python is almost a necessity.
The future of Python is thus set in stone as the go-to language for developers engaging in deep machine learning projects, companies looking to scale up by using big data analytics or efforts aimed at achieving social applications of automation!
Not Just Writing the Future, But Bringing It To You: Python’s Persistence in the Rise of Web Development
We already know that human beings will spend a lot of the 21st Century on the internet. It means preparing technological innovation for social application and coming up with the tools to deliver the applications themselves. This is the place where Python has already traditionally thrived: even though it competes with other web development languages, till the late 2010s, companies used to hire python developers mainly for the task of web development services.
Today, Python Development Companies and App Developers are making a resurgence as “DevOps Managers” and are still working on the unwavering foundation of Python because:
Seamless Integration: Python further offers a smooth integration experience with other programming languages such that developers can utilise it in the creation of embedded applications. Application and web development thus consistently rank amongst the biggest tasks for which the Python database is utilised.
Rich Library Resources: The existence of frameworks such as Django, Pyramid, and Flask makes Python App and Web development particularly faster. Python Web Development Services ensure that developers don’t have to start from scratch but can utilise some elements already built-in into the network through its numerous libraries and packages.
- Low Development Cost: Moreover, given that Python is open source and free, the development cost also decreases massively, breaking down barriers to access to simple but effective programming. While nearly 85% of developers surveyed responded that they use it as their primary programming language,an increasing number of students have also started moving towards Python.
Python thus possesses versatile capabilities of withering today’s storms while also preparing for tomorrow: this is what makes it the programming language of the future. In 2022, the number of data scientists and machine learning experts using Python is only slated to increase because of the investment of money and human resources into delivering applications of technological innovations. While they may be less in proportion, the absolute number of web developers and DevOps managers using Python is also sure to move upward.
Pathbreaking Python: The Democratic Future of Programming Languages
Four factors have thus contributed to the rise of bright prospects for the future of Python:
Corporate investments and dedicated developer community;
The promise of smooth integration and faultless compatibility with other languages;
Endless libraries and packages for specialised tasks such as ML and AI;
The open-source nature of the network that makes programming inexpensive.
Through Python, creating new services more efficiently and integrating these services with the aim of effectively delivering them to the end consumer has become a relatively simpler process. This is evident because, even in academic spaces, Python-based Development has become a mandatory skill to be acquired in the 21st Century. It is the primary instrument through which students can translate knowledge and information into questions and hypotheses.
Python, therefore, holds the key to the future application of technological advancements being materialised into tangible reality. Are you ready to speak in the language of Python and open the door to the new world?
Mahipalsinh Rana is a CTO of Inexture Solutions, he has more than 15 years of experience in software development with a strong focus on mobile app development for all kinds of platforms including iOS and Android. Along with his guidelines, many agencies hire python developers to build their online presence & complete complex project. He loves to write and share about technology, startups, entrepreneurship, and business