Navegando por Assunto "Linguagem Python"

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Análise de dados do mercado imobiliario utilizando Python para encontrar estatísticas descritivas: uma proposta para contornar o Big Data
(Centro Universitário do Estado do Pará, 2019) Silva, Caio Abdon da; Paixão, Carlos Benedito Pereira da
With the diversification of the Internet in recent years, there has been an increase in the amount of data produced and soon the difficulty arose to analyze them. With this came a new phenomenon in the world of computing that was the Big Data. The objective of this work is to bring an alternative to circumvent this situation through programming, will be addressed as this problem hampers data analysis and will be shown a solution to it. The methodologies used to perform the data analysis were python and its libraries, along with descriptive statistics. Next we will talk about the comparison between the analysis tools against programming. And at the end of this work, it will be shown how to use this method if it was able to improve the data analysis.
iTutor: aplicação híbrida para medida de aleatoriedade em redes de discussão
(Centro Universitário do Estado do Pará, 2022-12-05) Barbosa, Elielson Fernando do Santos; Freitas, Lucas da Silva; Lima, Pedro Augusto Pinto de; Araújo, Fábio Rocha de
Networks are structures in which there is a set of elements connected to each other and can be observed in various contexts, as seen in social or material structures designed by humanity. In view of this, society has been using discussion networks with a focus on enhancing the achievement of a concise conclusion about a given topic, discussions that have a randomness metric which evaluates the efficiency of the network interactions, with a focus on obtaining the results of the discussion networks to classify the quality of the discussion. The objective of this course work is the definition of metrics for analyzing the performance of discussion networks and the creation of an application that will allow the recording and visualization of the interactions of these networks. For this, an application was developed that records interactions during a discussion and also a server that processes this data and returns it to the application. The results obtained were an application that manages the flow of groups and discussions, in addition to also generating the randomness index and the interaction graph, duly available in the play store. This course work satisfactorily fulfilled the proposed objectives, creating metrics and satisfactory forms of evaluation discussion networks.
Otimização de carteira de investimento com a teoria de portfólio de Markowitz utilizando a linguagem de programação Python
(Centro Universitário do Estado do Pará, 2023-12-06) Oliveira Junior, José Nonato Cunha de; Girotto, Pedro Henrique Sales; Elgrably, Isaac Souza; http://lattes.cnpq.br/7590598824563858; http://lattes.cnpq.br/0421749067951878; Araújo, Fábio Rocha de; http://lattes.cnpq.br/2407240421934932
The present work presents the development of a methodology for optimization of investment portfolios using the Python programming language, based on Harry Markowitz's Portfolio Theory (1952). Based on static analyses and observations, there was an increase in the number of individuals registered on the main Stock Exchange in Brazil, B3, which shows a growing interest on the part of the population in investments. In this way, the project arises from the attempt to provide a simplification of the act of investing by enabling the optimization of investment portfolios in an accessible and practical way for investors and financial market professionals. It contains conceptualizations of risk and Markowitz's Theory in its first section. In the second section, the feasibility analysis of the product is presented, moving on to prototyping, with its specific requirements and arrangement of the Data Flow and Use Case diagram, the technologies used for the development of the methodology, including Python, Pandas, Numpy, Plotly, YFinance, Flask and PyPortfolioOpt, the product functionalities and the data analysis of the input and output files. Also in this section, the methodological nature of the work is arranged, showing the exploratory and evaluative research techniques that permeated the testing stage of the same, the commercialization model of the product to implement it in the market and possible direct and indirect competitors. In the third section, the results of the application and the data and assets considered are exposed, with a survey directed to the target audience. And, finally, in the fourth section, there are the considerations of the tool, about which it can be stated that it fulfilled the initial objective of the project and showed a real and potential possibility of visualization of portfolios and their respective risks, enabling insights for the investment area and proving the potential of the Python tool as a technology.
Otimização dos tempos de um semáforo por processamento de imagem e controladores
(Centro Universitário do Estado do Pará, 2019) Silva, Raul Vitor Mesquita da; Corrêa Filho, Sérgio Teixeira; Brasil, Vitor Henrique Morais; Nascimento, Polyana Santos Fonseca; http://lattes.cnpq.br/6889523334917369; Brito, Itamar Jorge Vilhena de; http://lattes.cnpq.br/5143837732124006; Mendes, Marcelo Pinto da Costa; http://lattes.cnpq.br/3099832904134964
This course completion work has as main objective to provide an improvement to the flow of traffic with the optimization of traffic light times, through a digital image processing application and controllers. So that it is possible to create intelligent traffic lights that can contribute to a better traffic in big cities. The whole system has a set of scripts that use the Python language and its specific modules to perform different functions, such as digitally processing an urban traffic video, analyzing the state of the road and determining its state as light, moderate, intense flow and finally, to perform the optimization of the green signal time of a certain semaphore.