Predicting Python’s Future: 2023 and Beyond

Language of Programming with the Highest Rate of Growth

As usage of Python rises rapidly, it is on track to surpass other languages and become the most widely used programming language in the world. Many major tech organisations have employed Python to develop mobile and desktop applications. Over the course of 2023, the user base of Python rose by more than 10%, making it the most popular programming language globally.

Python is a language with a bright future. Its open-source community is continuously developing new and helpful libraries, and this language is increasingly being used by the world’s leading IT companies to develop the cutting-edge data analytics software that will revolutionise the way brands interact with their customers. This language is becoming more and more popular and is set to become even more integral to the world of IT in the future.

All of these are only a taste of what Python has planned for the future, both in 2023 and beyond. Keep reading to learn more.

Usership of Python Continues to Expand

In the past ten years, the user base of Python has grown substantially, with an annual growth rate of over 8%. Furthermore, according to the 2023 Developer Survey conducted by Stack Overflow, Python is the most desired language to learn amongst software engineers.

It is widely accepted that Python’s success can, at least in part, be attributed to its accessible nature. Even those with no prior experience can often write code that works within a single day of being exposed to the language. This is because Python was developed to address the issues of code readability that other languages such as Java and C were facing. Furthermore, Python also enables programmers to reduce the amount of steps needed to write code.

As long as developers across the world are utilising the language to construct well-known websites and applications, the language’s user base will continue to grow. The increasing prominence of data science, for which Python is particularly suited, will also assist in growing Python’s user base beyond the realm of traditional programmers.

Games, commercial software, and web applications are just some of the many things that major IT businesses are creating using Python.

Python Is Widely Used in the IT Industry.

Python is a highly popular programming language that is utilised by numerous organisations, including tech giant Facebook. The development team at the social networking site take full advantage of this versatile language, using it to manage the distribution of their modules and binaries. In actuality, Python is responsible for an impressive 21% of Facebook’s backend infrastructure.

Despite its popularity within the IT industry, Python has been embraced by programmers of all levels. According to Stack Overflow’s 2023 Developers Survey Results, an impressive 73% of Python developers have expressed a desire to continue working with the language, making it the second most popular programming language among software developers.

As a consequence, the future looks promising for Python. Developers are at the forefront of pioneering technology, and Python is gaining rapid popularity amongst developers for fields such as Big Data, Artificial Intelligence (AI), Machine Learning and more.

Python Embedded Systems

Python programming professionals cannot be successful without the use of frameworks. By providing a pre-constructed framework for software development and reducing the amount of code needed, they help software engineers to meet their project delivery deadlines.

The three most widely used Python web frameworks, Django, TurboGears and Pyramid, are set to experience extensive changes over the next two years. Through their open source communities, new libraries, plugins and version upgrades will be released, enabling Python to reach a wider audience and become even more successful.


Django is widely recognised as one of the most powerful Python frameworks available today, with its open-source capabilities enabling the full stack of web application development. Contributors are continually working to make the system more user-friendly, allowing users to benefit from the considerable advantages of its open source nature.

Moreover, the Django team has proclaimed that the framework includes “batteries included”. This statement indicates that the framework is compatible with a vast spectrum of Python development services and presents a wide range of third-party libraries. These libraries include authentication, administrative user interfaces, session management, and other similar functionalities.

As the use of Python continues to grow in areas such as big data and machine learning, it is projected that the user base of the Django framework will increase. In order to cater for this increased demand, the team behind the framework are aiming to release a number of new libraries focused on database and data analytics.


TurboGears is a widely used Python framework which has been designed to expedite the development of web applications. It is a full-stack framework and its intention is to simplify the process of creating online applications, whilst also reducing the amount of time it takes to do so.

The framework was designed using the Model-View-Controller (MVC) architecture, which is based on the Ruby on Rails framework. This approach allows developers to reduce the amount of code they need to write, as well as to reuse the same business logic across multiple platforms.

TurboGears users have much to anticipate, as the community is consistently striving to improve the framework’s stability and capability. In the near future, a “minimal mode” is anticipated to be released, designed to act as a microframework. This streamlined version could save engineers time and money when developing basic applications.


Pyramid is a lightweight Python web application framework renowned for its exceptional adaptability. This makes it an attractive choice for developers looking to deploy even the most basic of web applications quickly and efficiently.

The Pyramid group refer to their methodology as “the start modest, finish large, remain completed framework”. This approach focuses on minimalism when it comes to operations. It is an ideal choice for experienced programmers who value autonomy; however, those new to programming may find it beneficial to start with something simpler such as Django or TurboGears.

At the end of 2023, Pyramid 1.10 was updated to offer a range of enhancements. This release included additional testing, an improved execution strategy, and enhanced compatibility with Python 3.7. The framework’s simple design and the flexibility it affords developers are major reasons why Pyramid is being adopted at an increasing rate.

Information Analyses

According to the latest forecasts, the data analytics market is expected to reach an incredible $103 billion by the end of the forecast period, representing a huge increase from the $42 billion recorded in 2023. This growth is particularly notable given that over 58% of Python developers utilise the programming language for data analytics purposes. Therefore, this expansion is highly significant for Python users.

Python is one of the most popular programming languages amongst developers due to its extensive Package Index, containing over 72,000 libraries. The Pandas library of the Python programming language is particularly useful for time series analysis and importing data.

The expansive Python open-source community has developed a multitude of highly popular libraries, each tailored to specific tasks. PyBrain, for example, is used to create and design neural networks, while SciPy is a great resource for more traditional scientific investigations.

In spite of its widespread use, Python is not necessarily the most suitable language for data analysis. Nevertheless, many businesses still choose to utilise Python for data analytics because of its widespread adoption and the diversity of the development community which supports it.

Facebook’s Manager of Quantitative Engineering has stated that one of the reasons for the organisation to use Pandas is due to its preference for the Python environment. He went on to explain that the company has a wide range of systems that are either written in Python itself or can be easily accessed via the Python programming language.

As the big data industry continues to grow, companies are likely to further adopt Python as a way to unify their development processes within a single language. The open source community, who work with this language, are predicted to release an abundance of data analytics libraries in the next two to three years, providing organisations with further opportunities to leverage the power of Python.

What’s Next for Python

In the coming years, Python is set to remain one of the most popular programming languages on a global scale. With its easy to learn syntax, high level of customisability and vast selection of extensions, the language will become increasingly more popular in the tech sector in particular.

Moreover, the Python programming language has been embraced by a thriving community, resulting in a vast selection of frameworks designed to make the language a viable option for a wide variety of applications. For example, frameworks such as Django, TurboGears and Pyramid can be used to significantly reduce the time taken to develop web applications, while also enhancing data privacy.

When it comes to data analysis, Python can be a remarkably useful tool for businesses. By using the same language for both development and big data projects, companies can save both time and money, as well as expanding their capabilities in the area of data analysis.

As an increasing number of companies seek out a single, comprehensive programming language to meet the majority of their development needs, the use of Python as a development language is set to gain traction in the years ahead. Its versatility, scalability and ease of use make it an attractive option for businesses of all sizes.

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