Often times groups of domain experts, such as scientists and engineers, will develop their own software modules for specialized computational tasks. When these users determine there is a need to integrate the data and computations used in their specialized components with an enterprise data management system, interoperability between the enterprise system and the specialized components rather than re-implementation allows for faster implementation and more flexible change management by shifting the onus of changes to the scientific components to the subject matter experts rather than the enterprise information technology team. The Jython-based RESTful web service API was developed to leverage code reflection to provide access to Python scripts via RESTful web service calls, providing access to any function available in a Python script accessible to the REST server.

For the Python programming language there are several different interpreters and implementations. In this thesis project the performance regarding execution time is evaluated for four of these; CPython, Cython, Jython and PyPy. The performance was measured in a test suite, created during the project, comprised of tests for Python dictionaries, lists, tuples, generators and objects. Each test was run with both integers and objects as test data with varying problem size. Each test was implemented using Python code. For Cython and Jython separate versions of the test were also implemented which contained syntax and data types specific for that interpreter. The results showed that Jython and PyPy were fastest for a majority of the tests when running code with only Python syntax and data types. Cython uses the Python C/API and is therefore dependent on CPython. The performance of Cython was therefore often similar to CPython. Cython did perform better on some of the tests when using Cython syntax and data types, as it could therefore decrease its reliance to CPython. Each interpreter was able to perform fastest on at least one test, showing that there is not an interpreter that is best for all problems. / Det existerar flera olika implementationer och interpreterare för programmeringsspråket Python. I detta examensarbete evalueras prestandan avseende exekveringstid för fyra av dessa; CPython, Cython, Jython och PyPy. Prestandan mättes i en testsvit som skapades i detta projekt. Testsviten bestod av tester för Pythons dictionary, list, tuple, generator och objekt. Varje test kördes med bå de heltal och objekt som testdata med varierande problemstorlek. Varje test var implementerat i programmeringsspråket Python. För Cython och Jython implementerades ytterliggare en version av testerna som innehöll syntax och datatyper specifika för dessa interpreterare. Resultaten visade att Jython och PyPy var snabbast för en majoritet av testerna som endast använde sig av Pythons syntax och datatyper. Cython använder sig av Pythons C/API och är därför beroende av CPython. Prestandan av Cython var därför lik CPythons. Cython presterade bättre på vissa av testerna som utnyttjade Cythons syntax och datatyper, då den därmed kunde minska sitt beroende av CPython. Varje interpreterare lyckades prestera snabbast på minst ett test. Detta visar att det inte finns en interpreterare som är mest lämpad för alla problem.

Jenkins CI, the continuous integration server, enables to extend its functionality by plug-ins. These plug-ins can be written in Java and Ruby. The support for Python language is missing although it is one of the most popular programming languages. Therefore we have implemented the SDK for Python plug-in development and this SDK has been integrated into the Jenkins CI community repository. The documentation for the plug-in development in Python has been also published. Thanks to that work, developers can now implement plug-ins in Python programming language.

Beyond Java, new programming languages running on the Java virtual machine (JVM) have been developed, such as Kotlin, Scala, JRuby and Clojure amongst others. Since all those languages compile to Java bytecode, they should theoretically be able to be used together in a project. This paper investigates if it is possible and what benefits it gives using those programming languages together in a project. The languages chosen to be used together were Jython, Scala and Kotlin. An experiment was conducted where in a single project, each programming language was assigned a problem to be solved. The experiment was then conducted in two iterations where in each iteration, the problems to be solved was assigned to a different programming language. From the experiment it was shown that using those languages together in a project was possible but resulted in some complications needed to be solved. It was also shown that the following division amongst the languages worked best in the present use case: Jython for graphical handling, Scala for calculating and computing and Kotlin for data-handling.

This thesis deals with technologies related to web pages and describes the navigation across them including the authentication to access their private sections and the user context management. It introduces the design of the mechanism for the automated navigation including new scripting language and tools for the visual description. The work also contains the design of the application using the mechanism and the implementation of its parts. The last chapter sums up the knowledge acquired by testing on various websites.