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Wyświetlanie 1-15 z 47
Tytuł:
Ensemble Classification : Example and Python Implementation
Autorzy:
Andziak, Piotr
Figielska, Ewa
Powiązania:
https://bibliotekanauki.pl/articles/91525.pdf
Data publikacji:
2019
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
ensemble classification
clustering
python
Opis:
The paper presents an ensemble classification method based on clustering, along with its implementation in the Python programming language. An illustrative example showing the method behavior is provided, and the results of a computational experiment performed on real life data sets are reported.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2019, 13, 21; 7-22
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Isolation and characterisation of crocodile and python ovotransferrins
Autorzy:
Ciuraszkiewicz, Justyna
Olczak, Mariusz
Wątorek, Wiesław
Powiązania:
https://bibliotekanauki.pl/articles/1041133.pdf
Data publikacji:
2007
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
python
Crocodylus rhombifer
crocodile
Crocodylus niloticus
iron release
Python molarus bivittatus
ovotransferrin
N-glycans
Opis:
Transferrins play a major role in iron homeostasis and metabolism. In vertebrates, these proteins are synthesised in the liver and dispersed within the organism by the bloodstream. In oviparous vertebrates additional expression is observed in the oviduct and the synthesised protein is deposited in egg white as ovotransferrin. Most research on ovotransferrin has been performed on the chicken protein. There is a limited amount of information on other bird transferrins, and until our previous paper on red-eared turtle protein there was no data on the isolation, sequencing and biochemical properties of reptilian ovotransferrins. Recently our laboratory deposited ten new sequences of reptilian transferrins in the EMBL database. A comparative analysis of these sequences indicates a possibility of different mechanisms of iron release among crocodile and snake transferrin. In the present paper we follow with the purification and analysis of the basic biochemical properties of two crocodile (Crocodilus niloticus, C. rhombifer) and one snake (Python molurus bivittatus) ovotransferrins. The proteins were purified by anion exchange and hydrophobic chromatography, and their N-terminal amino-acid sequences, molecular mass and isoelectric points were determined. All three proteins are glycosylated and their N-glycan chromatographic profiles show the largest contribution of neutral oligosaccharides in crocodile and disialylated glycans in python ovotransferrin. The absorption spectra of iron-saturated transferrins were analysed. Iron release from these proteins is pH-dependent, showing a biphasic character in crocodile ovotransferrins and a monophasic type in the python protein. The reason for the different types of iron release is discussed.
Źródło:
Acta Biochimica Polonica; 2007, 54, 1; 175-182
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Code refactoring: a Python example
Autorzy:
Figielska, Ewa
Powiązania:
https://bibliotekanauki.pl/articles/2163407.pdf
Data publikacji:
2022-12
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
Refactoring
Code smells
Object-oriented programming
Unit tests
Python
Opis:
In this paper, several refactoring techniques are shown, using an example in which the design of a program for solving a simple problem is gradually improved. Before introducing any change to the program, the drawbacks of its current version are discussed, bad code smells are identified, and some unit tests are provided. The source code is written in Python.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2022, 16, 27; 39-56
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applications of python programs in solving of equations based on selected numerical methods
Autorzy:
Ziółkowski, M.
Stępień, L.
Stępień, M. R.
Gola, A.
Powiązania:
https://bibliotekanauki.pl/articles/951868.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Humanistyczno-Przyrodniczy im. Jana Długosza w Częstochowie. Wydawnictwo Uczelniane
Tematy:
język Python
metody numeryczne
równania nieliniowe
Python
numerical methods
nonlinear equation
Opis:
In this paper we present the mathematical background of the four most used numerical methods of solving equations and few examples of Python applications that find the approximations of the roots of the given equations. We also compare the exact and approximate solutions of polynomial equations of third degree. Exact solutions are obtained with usage of Cardano formulae by the help of Mathematica environment, the approximate ones – based on the selected numerical methods by the help of applications written in Python language.
Źródło:
Scientific Issues of Jan Długosz University in Częstochowa. Mathematics; 2017, 22; 31-45
2450-9302
Pojawia się w:
Scientific Issues of Jan Długosz University in Częstochowa. Mathematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Analysis of the use of the Python Language in Robot Applications
Autorzy:
Piotrowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/117755.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
mobile robots
python computer language
programming
Opis:
The paper has analyzed the possibility of using the Python computer language in programming mobile robots. The designed and constructed test stand – a caterpillar mobile robot, enables the testing of wireless control algorithms, responses to events, I/O device programming methods and path selection algorithms. The software applications(client and server) written in the Python computer language have been developed and analyzed. A partial listing of the program source is included. The usefulness of Python in robot applications was confirmed.
Źródło:
Applied Computer Science; 2016, 12, 2; 5-21
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative evaluation of performance-boosting tools for Python
Autorzy:
Swacha, J.
Powiązania:
https://bibliotekanauki.pl/articles/106222.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
Python programming language
Just-in-Time compilers
automatic translator
booster
Opis:
The Python programming language has a number of advantages, such as simple and clear syntax, concise and readable code, and open source implementation with a lot of extensions available, that makes it a great tool for teaching programming to students. Unfortunately, Python, as a very high level interpreted programming language, is relatively slow, which becomes a nuisance when executing computationally intensive programs. There is, however, a number of tools aimed at speeding-up execution of programs written in Python, such as Just-in-Time compilers and automatic translators to statically compiled programming languages. In this paper a comparative evaluation of such tools is done with a focus on the attained performance boost.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2011, 11, 1; 33-41
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using Template Method and Strategy Design Patterns in the Python Implementation of a Metaheuristic Algorithm for Solving Scheduling Problems
Autorzy:
Figielska, E.
Powiązania:
https://bibliotekanauki.pl/articles/91355.pdf
Data publikacji:
2017
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
design patterns
python
metaheuristic
scheduling
Opis:
The paper shows how the Template Method and Strategy design patterns can be used in a program which solves different scheduling problems by means of a metaheuristic algorithm. The benefits offered by these design patterns as well as their drawbacks are discussed. An implementation example in the Python programming language is provided.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2017, 11, 17; 7-22
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of real gas model operating in gas turbine system in Python programming environment
Autorzy:
Trawiński, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/1845451.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
mathematical model
numerical methods
python
real gas model
departure functions
Opis:
Identification of working fluids and development of their mathematical models should always precede construction of a proper model of the analysed thermodynamic system. This paper presents method of development of a mathematical model of working fluids in a gas turbine system and its implementation in Python programming environment. Among the thermodynamic parameters of the quantitative analysis of systems, the following were selected: specific volume, specific isobaric and isochoric heat capacity and their ratio, specific enthalpy and specific entropy. The development of the model began with implementation of dependencies describing the semi-ideal gas. The model was then extended to the real gas model using correction factors reflecting the impact of pressure. The real gas equations of state were chosen, namely due to Redlich–Kwong, Peng–Robinson, Soave– Redlich–Kwong, and Lee–Kesler. All the correction functions were derived analytically from the mentioned equations of real gas behaviour. The philosophy of construction of computational algorithms was presented and relevant calculation and numerical algorithms were discussed. Created software allowed to obtain results which were analysed and partially validated.
Źródło:
Archives of Thermodynamics; 2020, 41, 4; 23-61
1231-0956
2083-6023
Pojawia się w:
Archives of Thermodynamics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Empirical Study of the Evolution of Python Questions on Stack Overflow
Autorzy:
Syam, Gopika
Lal, Sangeeta
Chen, Tao
Powiązania:
https://bibliotekanauki.pl/articles/9783959.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
Python programming
Software Development
Stack Overflow
Topic Modelling
Opis:
Background: Python is a popular and easy-to-use programming language. It is constantly expanding, with new features and libraries being introduced daily for a broad range of applications. This dynamic expansion needs a robust support structure for developers to effectively utilise the language. Aim: In this study we conduct an in-depth analysis focusing on several research topics to understand the theme of Python questions and identify the challenges that developers encounter, using the questions posted on Stack Overflow. Method:We perform a quantitative and qualitative analysis of Python questions in Stack Overflow. Topic Modelling is also used to determine the most popular and difficult topics among developers. Results: The findings of this study revealed a recent surge in questions about scientific computing libraries pandas and TensorFlow. Also, we observed that the discussion of Data Structures and Formats is more popular in the Python community, whereas areas such as Installation, Deployment, and IDE are still challenging. Conclusion: This study can direct the research and development community to put more emphasis on tackling the actual issues that Python programmers are facing.
Źródło:
e-Informatica Software Engineering Journal; 2023, 17, 1; 230107
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of real gas model operating in gas turbine system in Python programming environment
Autorzy:
Trawiński, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/1845455.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
mathematical model
numerical methods
python
real gas model
departure functions
Opis:
Identification of working fluids and development of their mathematical models should always precede construction of a proper model of the analysed thermodynamic system. This paper presents method of development of a mathematical model of working fluids in a gas turbine system and its implementation in Python programming environment. Among the thermodynamic parameters of the quantitative analysis of systems, the following were selected: specific volume, specific isobaric and isochoric heat capacity and their ratio, specific enthalpy and specific entropy. The development of the model began with implementation of dependencies describing the semi-ideal gas. The model was then extended to the real gas model using correction factors reflecting the impact of pressure. The real gas equations of state were chosen, namely due to Redlich–Kwong, Peng–Robinson, Soave– Redlich–Kwong, and Lee–Kesler. All the correction functions were derived analytically from the mentioned equations of real gas behaviour. The philosophy of construction of computational algorithms was presented and relevant calculation and numerical algorithms were discussed. Created software allowed to obtain results which were analysed and partially validated.
Źródło:
Archives of Thermodynamics; 2020, 41, 4; 23-61
1231-0956
2083-6023
Pojawia się w:
Archives of Thermodynamics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
SALBEC – A python library and GUI application to calculate the diurnal variation of the soil albedo
Autorzy:
Jasiewicz, Jarosław
Cierniewski, Jerzy
Powiązania:
https://bibliotekanauki.pl/articles/2054945.pdf
Data publikacji:
2021-09-01
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
soil albedo
soil roughness
remote sensing
python
GUI application
Opis:
This study presents the SALBEC – Soil ALBEdo Calculator – a Python library and Graphical User Interface designed to predict the diurnal variation of the clear-sky albedo based on the soil surface properties. Such predictions are becoming more and more necessary with the increasing role of remote measurements. The software uses the following input parameters: the soil spectrum, soil roughness, day of the year (DOY) and sample location. It returns the diurnal albedo variation and, as a unique feature, optimal observation time in the form of tables and graphs as out-puts. Models created with the SALBEC were compared with the data acquired under near clear-sky conditions. The comparison shows that the differences between the models and measured data do not exceed the variation of input parameters. The software is directed towards scientists and professionals who require precise estimations of the albedo of soils for different field observation times. Our software is issued as free and open source software (FOSS) and is publicly available at https://github.com/jarekj71/salbec.
Źródło:
Quaestiones Geographicae; 2021, 40, 3
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Traffic analysis using NetFlow and Python
Analiza ruchu sieciowego z wykorzystaniem NetFlow i Python
Autorzy:
Oujezsky, V.
Horvath, T.
Powiązania:
https://bibliotekanauki.pl/articles/408122.pdf
Data publikacji:
2017
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
IP network
computer language
software tools
sieć IP
język komputerowy
oprogramowanie narzędziowe
Opis:
This article presents an application that is used as NetFlow collector and analyzer. It is a console application created in Python language. A software analyzer detects and analyzes incoming NetFlow messages version 1 and 5 of devices that support them. The output file is a database of information and analysis of the overall UNIX time duration of reported traffic and analysis of NetFlow lifetime. The software is developed to work with Python version 3 and higher and is designed for the Windows operating system.
W artykule przedstawiono aplikację używaną jako kolektor i analizator NetFlow. Jest to aplikacja konsoli utworzona w języku Python. Analizator oprogramowania wykrywa i analizuje przychodzące wiadomości NetFlow w wersji 1 i 5 dla urządzeń je obsługujących. Plik wyjściowy to baza danych informacji i analizy ogólnego czasu trwania zgłoszonego ruchu UNIX i analizy życia NetFlow. Oprogramowanie zostało opracowywane dla systemu operacyjnego Windows i języka Python wersja 3 lub wyższa.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2017, 7, 2; 5-7
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Digital signal processing in ECG recorder with python-based software
Autorzy:
Kosiński, W.
Owczarek, A.
Jarocki, B.
Momot, M.
Płaczek, M.
Zegartowski, G.
Gacek, A.
Powiązania:
https://bibliotekanauki.pl/articles/333978.pdf
Data publikacji:
2003
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
elektrokardiografia
urządzenie rejestrujące EKG
detekcja QRS
cyfrowe przetwarzanie sygnału
język programowania Python
electrocardiography
ECG recorder
QRS detection
digital signal processing
Python language
Linux
open source
Opis:
The aim of the paper is to present the possibilities and the advantages of using open source solution like Python and Linux in medical application development. An implementation of the QRS detection and classification is described as an example of integration of C++ and DSP toolkit in a Python application.
Źródło:
Journal of Medical Informatics & Technologies; 2003, 6; IT61-68
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
SFMToolbox: an ArcGIS Python Toolbox for Automatic Production of Maps of Soil Fertility
Autorzy:
Velamala, Ranga Rao
Pant, Pawan Kumar
Powiązania:
https://bibliotekanauki.pl/articles/2174667.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
ArcGIS
GIS
Python
ArcPy
ArcMap
soil fertility
toolbox
soil health card
Opis:
SFMToolbox is an ArcGIS Python toolbox developed in ArcGIS Desktop (ArcMap) to perform preprocessing tasks for the automatic creation of maps of soil fertility parameters. Through SFMToolbox, users can automatically produce 12 soil fertility parameter maps as a batch at one time. It is easy to use, where users can only provide input; the output files are automatically created from the name of the sample point and saved in the defined workspace. During the execution of the tools, various processes, such as Inverse Distance Weighted (IDW) – a technique of interpolation, reclassification, adding color, merging, projection, area calculation, and legend are done automatically for all 12 parameters at the same time. The SFMToolbox was validated as part of the following case study: village – Kashipur, tehsil – Balrampur, district – Balrampur, state – Uttar Pradesh, Country – India. The results show that the user can quickly generate maps and save time, improve accuracy, and reduce human intervention and ensure uniformity among maps. This toolbox also applied to Cycle II data from the Government of India’s Soil Health Card (SHC) scheme and timely produced 12-parameters soil nutrient maps for 630 districts in a uniform format. The toolbox may be used by public and private organizations to make timely decisions on agricultural and environmental issues.
Źródło:
Geomatics and Environmental Engineering; 2023, 17, 2; 105--145
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying Python’s Time Series Forecasting Method in Microsoft Excel – Integration as a Business Process Supporting Tool for Small Enterprises
Autorzy:
Litwin, Jolanta
Olech, Marcin
Szymusik, Anna
Powiązania:
https://bibliotekanauki.pl/articles/2069739.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
time series forecasting
python integration
excel integration
Opis:
The paper describes the current state of research, where integration of Microsoft Excel and Python interpreter, gives the business user the right tool to solve chosen business process analysis problems like: forecasting, classification or clustering. The integration is done by using Visual Basic for Application (VBA), as well as XLWings Python’s library. Both mechanisms serve as an interfaces between MS Excel and Python to allow the data exchange between each other. Creating the suitable Graphical User Interface (GUI) in Microsoft Excel, gives the business user opportunity to select specific data analysis method available in Python’s environment and set its parameters, without Python’s programming. Running the method by Python’s interpreter can bring the results, which are hard or even impossible to obtain by using Microsoft Excel only. However, the data analysis methods stored in the Python’s script, which are available to the business user, as well as VBA source code, must be designed and implemented by the data scientist. Sample, basic integration between Microsoft Excel and Python’s interpreter is presented in the paper. To present value-added of the proposed software solution, simple case study according to time series forecasting problem is described, where forecasting errors of different methods available in the Microsoft Excel and Python are presented and discussed. The paper ends with conclusions according to the results of the current researches and suggested directions of further research.
Źródło:
Technical Sciences / University of Warmia and Mazury in Olsztyn; 2021, 24(1); 115--133
1505-4675
2083-4527
Pojawia się w:
Technical Sciences / University of Warmia and Mazury in Olsztyn
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 47

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