The article presents the possibilities and validity of the implementation in the field of developing mathematical models for aerobatics trajectory. Proposing a catalogue of three-dimensional figures and those described mathematically will allow improving judging and scoring level, as well as the art of piloting in aerobatics. In the first chapter, article describes the processes of aerobatic flight, judge evaluation method and the current state of technology supporting the scoring process. The second chapter presents the capabilities of the Python programming language, which will be a tool for the construction of three-dimensional models. The third chapter of this article is a description of the comparative analysis of ideal trajectories and obtained in real flight. This chapter also demonstrates the validity and necessity of introducing new standards for assessing aerobatic flights. Aerobatics flights and judging, intelligent system to control aerobatic flights, three-dimensional models of aerobatic flights are presented in the article. The article concerns on use modern technologies to support the judges during the competition. The introduction of ASSD + PL system and the possibility of implementing designed models of aerobatic figures open new paths for improving the art of pilotage and arbitration.
The subject of the article is the integration of a new CO2 fire extinguishing weighing system to the panel displaying the status of Compact Muon Solenoid (CMS) detector safety systems (CMS Safety Panel) at CERN. The CO2 fire extinguishing system is responsible for protection of unique control devices, so safety of its operation and the weighing system was designed to monitor the state of it and make it reliable. CMS Safety Panel displays status of safety systems used in CMS Experiment and it is based on JCOP Framework that guarantee compatibility of all the projects. The integration of the new CO2 fire extinguishing system to the CMS Safety Panel requires that the system meets the assumptions that other projects fulfil and allows for clear monitoring of its situation along with the rest of the security systems.
Network programmability is a trend, enhanced and inspired by Software Defined Networks, that are based on scripting methods and standard programming languages used for controlling and monitoring of network elements. This paper is illustrating some new methods in configuring network devices by using automation, reducing time for equipment configuration and easier maintenance. It also improves network security by recognizing and fixing security vulnerabilities and it increases the network stability. These methods represent the future of networks, allowing the management of an increased number of devices in a unitary way.
-r-coding-with-pipes-the-present-andfuture-of-the-magrittr-package/  R Development Core Team (2014) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria. [Online] http://www.R-project.org  D. Cielen, A. D. B. Meysman, M. Ali. Introducing Data Science. Big Data, Machine Learning and More, Using Python Tools. Manning, Shelter Island, U.S., 2016.  G. van Rossum. PythonProgramming Language, 2011. [Online] https://www.python.org/  Downey, A.B. Think Python. How to think like a computer scientist. 2nd Ed., updated for Python 3. O’Reilly.  Beazley D. M
A variety of programming languages are used to teach fundamentals of programming in secondary schools in Slovakia. Nowadays, we observe a new trend, the Python language gaining ground. In our paper we evaluate the interviews, in which we asked teachers with years of pedagogical experience, what the reasons for selecting a particular programming language where. By analysing the responses we learn about their experience with teaching programming and create a list of the important elements in the selection of the most suitable programming language for secondary school students. We will seek an answer for the question whether the Python programming language is appropriate for all secondary school students.
The paper aims to evaluate the potential of using aerial images captured from UAV’s, when compared with satellite images, for the purpose of monitoring rapeseed cultures. For this, a comparison is presented; two modern methods of gathering and processing images with the purpose of estimating the rapeseed culture yields, in contrast with the classic method. For this purpose, we use professional equipment to gather images, GPS RTK to provide advanced precision, as well as software such as Precision Flight to plan the flight routes, Precision Mapper to construct the orthophoto, custom made Python programs and LeoWorks to process and classify the resulting images.
The paper presents a first experimental version of the original QGIS plugin QWaveTransposition that numerically implements the geographic transposition of wave gauge data method proposed by Contini and De Girolamo (1998) for offshore wave hindcasting. The method allows one to transfer wave data measured at a given gauging station to a virtual station located offshore the area of interest, by comparing the effective fetches at both stations. The QWaveTransposition plugin was implemented in Python programming language, including the NumPy package for numerical computations. A graphical user interface was developed to manage the input/output data and model parameters. The fetch geometry at real and virtual stations can be imported by selecting appropriate vector layers from the QGIS map. An application to a sample site in southern Italy is presented for example purposes.
.R. (2012) Shorebird incubation behaviour and its influence on the risk of nest predation. Animal Behaviour, 84, 835-842. Therneau, T.M. & Grambsch, P.M. (2000) Modeling Survival Data: Extending the Cox Model. New York: Springer. Tichit, M., Renault, O. & Potter, T. (2005) Grazing regime as a tool to assess positive side effects of livestock farming systems on wading birds. Livestock Production Science, 96, 109-117. van Rossum, G. & de Boer, J. (1991) Interactively Testing Remote Servers Using the PythonProgramming Language. CWi Quarterly, 4(4), 283-303. Vickery, J
using computer-mediated techniques.
Both participants from the University of Wrocław took part in the preparatory course
dedicated to programming in social sciences. The course was focused on presenting
the possibilities of using the Pythonprogramming language and methods of taking
advantage of it during the research process. The students learnt that the exhausting and
time-consuming process of gathering data from the Internet can be much more efficient
and effective with code written in Python. The things that used to be a mystery for most
ensure that students are prepared to take the lead on the socio-cultural issues noted above. Additionally, information schools that have strong technical faculty can help students develop technical skills to manage distributed data (e.g. implement relational and NoSQL solutions, and create policy-based rules for replication, security, and access); apply natural language processing, data mining, and machine learning suites for analysis; create customized scripts for management and reporting functions (e.g. using R or Pythonprogramming language); develop appropriate