Abstract: Opportunities are investigated and examples are provided of using Python libraries at the solution of the typical mathematical tasks. Features of interpretation of the received results are analyzed.

Abstract: The architecture of the Binary star DataBase (BDB) being constructed in the Institute of astronomy of the Russian Academy of Sciences is described. The purpose of the BDB creation is to join the comprehensive information on binary stars of all observational and evolutionary types originated from a variety of catalogues and databases of binary and multiple stars, as well as to make a convenient tool for work with these catalogues data. We consider the main problems arising in the process of BDB implementation, the methods of gathering information of original catalogues, as well as the schemes of cross-identification of the objects. The BDB is realized on the basis of the Nagare framework (stackless Python/SQLAlchemy/Elixir) and of the Postgresql database management system, its beta-version is available at http://bdb.inasan.ru.

Abstract:

A method for building end-to-end management accounting in a division of the Bank’s subdevision specializing in working with non-core assets is proposed. Has been proposed the process approach, an algorithm for building a database for the formation of key performance and control indicators.

Has been described the key stages of the department's work, the attribute composition of entities (set) arriving, enriched and transmitted at each stage of the department's work. By modeling the process has been built a role model, access and editing rights for employees. Data sources (reference books) for optimization and unification of the process of filling the database (tuple) are proposed. A method of accessing the database in the Power Query Microsoft Excel add-in is proposed, which allows you to collect data from files of all basic data types, process and refine the received data. In the interactive programming environment Jupyter Notebook, mathematical and financial models for data analysis (logistic regression, decision tree and discounted cash flow method) were built based on data in order to predict costs, the timing of asset exposure and make a decision on the optimal cost of putting property on the Bank's balance sheet and selling price. Based on ready-made libraries (matpotlib, seaborn, plotly), options for data visualization for management are proposed. Using the example of the Bank's division, the author describes the positive effects and opportunities that open up to the management of different levels in solving day-to-day tasks and planning the activities of the division. A technical task was proposed for the development of a showcase for the sale of non-core assets on the Bank's website as an environment for the accumulation of external data for making flexible management decisions.

Abstract: In this paper, we study the process of evaluating the psychological portrait of a human for the purposes of enhancing the human-machine communication in the frame of the anthropomorphic social agent. We understand “psychological portrait” as the current emotional state of the interlocutor, which is evident by their way of talking and their choice of words. By correctly identifying human’s emotional state, the machine can issue an appropriate response. Our study further describes how the emotional state can be examined and how a proper response should be formed.

Abstract: Mass identification of a list of radio sources with the sky surveys of different ranges of the electromagnetic spectrum has undoubted interest to astronomers. Identification of the radio sources is not a straightforward procedure because of the different angular resolution, sensitivity limit, coordinate precision  of the radio catalogues, as well as due to the morphological structure of radio sources themselves.