As Python remains a key player in AI, machine learning, and emerging tech, its role will expand in 2025 with advancements in quantum computing, NLP, and immersive technologies. We spoke with Andrei Melnikau, Division Expert in Godel’s Python Division, about his vision of the language’s future.

What are your tech predictions for Python for 2025?

Python continues to dominate as a programming language in the AI ecosystem. As the most popular and versatile language for open-source development, it is widely adopted across various AI-relevant libraries and solutions, facilitating complex data analysis and machine learning processes. Transparency in AI decision-making is becoming crucial; Python libraries like SHAP and LIME will play a pivotal role in building trust by explaining model predictions. AI agents are a primary focus and are expected to draw even more attention in the coming months.

A huge step was taken last year with the launch of native asynchronous support in Python version 3.13, which provides a strategic direction for the next five years. This development aims to enhance the evolution of this feature and is expected to positively impact calculations for CPU-bound and performance-critical applications.

What new tools or platforms are expected to gain traction next year?

Quantum Computing Libraries: As quantum computing becomes more mainstream, Python libraries that simplify quantum programming and integrate with quantum machines (e.g., through platforms like Qiskit) are likely to see increased adoption.

Natural Language Processing (NLP): With innovations like GPT-4, Python libraries such as Hugging Face Transformers continue to evolve, simplifying complex NLP tasks. These tools enable developers to create chatbots, translators, and sentiment analyzers with minimal effort.

Interactive and Immersive Technologies: As augmented reality (AR) and virtual reality (VR) advance, Python could play a significant role in developing scripting tools for immersive experiences. This may include expanding platforms like Blender with greater Python integration for 3D modelling and animation.

WebAssembly and Browser-Based Tools: With growing interest in running Python in browsers, tools that compile Python to WebAssembly are expected to see significant development. These advancements could enable more robust browser-based Python applications.

How are consumer demands and expectations driving changes in software and tech products?

Clients are increasingly curious about AI integration in real-world business applications and often request rapid development or integration of proof-of-concept (PoC) services to validate business ideas in production environments. This growing interest is driving AI adoption to new levels by improving API usability and creating simplified, user-friendly services that hide configurational complexity behind the scenes.

What will be the biggest barriers in the tech industry in 2025, specifically for Python developers?

Cybersecurity Threats: As Python becomes more widely used in various applications, the threat landscape will continue to evolve. Increasingly sophisticated cyberattacks will target individuals, companies, and critical infrastructure, posing significant challenges.

Data Privacy and Regulation: With growing concerns over data privacy, regulatory environments are expected to become more stringent. Navigating these regulations, especially across different jurisdictions, will complicate compliance efforts for tech companies.

With growing concerns over data privacy, Python developers will face increasing pressure to comply with stricter regulations. Ensuring that Python applications handle sensitive data in line with global privacy standards, especially across different jurisdictions, will be a significant challenge.