Python has dominated the data science industry and its popularity continues to grow. The next big programming language that would likely replace Python will have the following elements in order to succeed:
- Rust speed, efficiency, and memory safety.
- Julia scientific computing and data analysis features.
- Go simplicity, efficiency, and concurrency.
- C/C++ low-level integration and optimization.
The likely fifth set of features would be the extensions of AI embedded within the language with metaprogramming, metaphors, enhanced typing like gradual and dependent, better concurrency and parallelism, logic programming, functional programming, code completion, automatic bug detection, code generation, quantum computing integration, enhanced security and privacy, algorithmic machine learning abstractions, distributed federation, cognitive abstractions, direct support for services and testability, model assurance, automl features, self-correction, auto-scripting, self-documentation, model explainability and interpretability, and many other options.
