While Python has become increasingly popular for its convenience, it is also criticized for its
suboptimal performance. To figure out what burdens the interpreter of Python and provide …

Wind energy, as a clean energy source, has been experiencing rapid development in recent
years. However, there is often a significant difference between the designed electricity …

Dynamic sophisticated real-time adaptation is not possible with current e-learning
technologies. Our proposal is based on changing the approach for the development of e …

Developing a just‐in‐time (JIT) compiler can be a daunting task, especially for a language
as flexible as Python. While PyPy, powered with JIT compilation, can often outperform the …

Hybrid static and dynamic typing languages are aimed at combining the benefits of both
kinds of languages: the early type error detection and compile-time optimizations of static …

Interpreters are widely used in the implementation of many programming languages, such
as Python, Perl, and Java. Even though various JIT compilers emerge in an endless stream …

The advantages of processing data at the source motivate developers to offload
computations at the edges of IoT networks. However, the computational resource constraints …

The Java programming language and platform provide many optimizations to execute
statically typed code efficiently. Although Java has gradually incorporated more dynamic …

The REST (REpresentational State Transfer) paradigm has become essential for designing
distributed applications that leverage the HTTP protocol, enabling efficient data exchange …

Maintaining an adequate security level in computer infrastructures, like Internet-facing web
servers, requires periodic assessment of their vulnerabilities with specialized security tools …