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Introduction to R
Published in Jan Žižka, František Dařena, Arnošt Svoboda, Text Mining with Machine Learning, 2019
Jan Žižka, František Dařena, Arnošt Svoboda
Comments are useful pieces of the code that help programmers explain what various part of the code mean. They are completely ignored by the R interpreter. A comment starts with the symbol #. The subsequent characters until the end of line are the comment. R does not allow comments running into multiple lines. To overcome this problem, a quoted string occupying more than one line can be used. The string will be evaluated as normal but will not perform any action.
Python Basics
Published in David E. Clough, Steven C. Chapra, Introduction to Engineering and Scientific Computing with Python, 2023
David E. Clough, Steven C. Chapra
An important feature of Python programming is to include explanatory comments within the code. These non-executable labels are essential for making your code readily understandable by others and even for you if you have been away from the script for some time. Comments are preceded by the character # and can be inserted on their own line or added to the end of lines of code. Here are two examples:
Application Structure
Published in Rick Bitter, Taqi Mohiuddin, Matt Nawrocki, LabVIEW™ Advanced Programming Techniques, 2017
Rick Bitter, Taqi Mohiuddin, Matt Nawrocki
LabVIEW has some built-in functions to help in the documentation of code. As with other programming languages, comments can be included in the appropriate places with the code. This allows anyone to look at the diagram and get a better understanding of the code. When modifications have to be made, the comments can help identify the different areas in addition to their functionality.
Present and future of semantic web technologies: a research statement
Published in International Journal of Computers and Applications, 2021
The semantic sensor web is an expansion of the sensor web where sensor nodes swap and process data automatically without any human interference. The major components of the semantic sensor web are ontologies, query languages semantic annotation (comment), and rule languages. Ontologies serve as dictionaries that contain the definitions of all concepts used by sensor web. Semantic Sensor Network Ontology (SSNO) contains sensors, procedures, and their observations. Semantic annotation language, for example RDF and RDFa, is used for annotating the sensor’s measurement and observation. Reasoning service provides inferences on existing facts and rules that are defined via SWRL by which we extract additional information. All of the above-mentioned information forms the backbone of the semantic layer. SWTs play a very important role in the sensor network because through them, we infer semantic information from the raw data gathered by sensors. Hence, we can utilize meaningful information in many smart applications like health care, meteorology and environment observation, and so on.
Problem-based collaborative learning groupware to improve computer programming skills
Published in Behaviour & Information Technology, 2022
Atef Chorfi, Djalal Hedjazi, Sofiane Aouag, Djalleleddine Boubiche
The same learner could have different roles on diverse code fragments. She/he can then be authorised to modify some fragments of the shared source code, to only read or comment some others. She/he can besides supervise the advancement of some other fragments. Each learner can play one of the previously cited roles on a given code fragment at a given instant. In addition, the writer and supervisor roles are mutually exclusive at the same moment. For each code fragment, only one learner can really play the writer or supervisor role at a time. Finally, it is important to notify that the current role of a learner may change dynamically, depending on the state of PBPCLG and on the will of the learner himself.
A Cross-organizational Ecology for Virtual Communities of Practice in Higher Education
Published in International Journal of Human–Computer Interaction, 2020
Aekaterini Mavri, Andri Ioannou, Fernando Loizides
As Hypothes.is only offers two annotation modes: “public” and “only me”, some skepticism regarding the veracity of written feedback was expressed, as anyone could submit a comment. According to participants, additional owner-defined (customized) “view & edit” modes, could extend user privileges and better target activities suitable for either within-team or CoP-wide contexts.