scholarly journals ATLaS: Assistant Software for Life Scientists to Use in Calculations of Buffer Solutions

2021 ◽  
Vol 15 (4) ◽  
pp. 541-545
Author(s):  
Ugur Comlekcioglu ◽  
Nazan Comlekcioglu
Keyword(s):  
Programming Language ◽  
Life Science ◽  
Source Code ◽  
Experimental Results ◽  
Acid Base ◽  
Buffer Solutions ◽  
Python Programming Language ◽  
Science Laboratories ◽  
Executable File ◽  
Python Programming

Many solutions such as percentage, molar and buffer solutions are used in all experiments conducted in life science laboratories. Although the preparation of the solutions is not difficult, miscalculations that can be made during intensive laboratory work negatively affect the experimental results. In order for the experiments to work correctly, the solutions must be prepared completely correctly. In this project, a software, ATLaS (Assistant Toolkit for Laboratory Solutions), has been developed to eliminate solution errors arising from calculations. Python programming language was used in the development of ATLaS. Tkinter and Pandas libraries were used in the program. ATLaS contains five main modules (1) Percent Solutions, (2) Molar Solutions, (3) Acid-Base Solutions, (4) Buffer Solutions and (5) Unit Converter. Main modules have sub-functions within themselves. With PyInstaller, the software was converted into a stand-alone executable file. The source code of ATLaS is available at https://github.com/cugur1978/ATLaS.

scholarly journals CNC Programming Software Design to Optimizing Batik Stamping Time

OPSI ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 21
Author(s):  
Rian Prasetyo ◽  
Ainur Komariah
Keyword(s):  
Programming Language ◽  
Design Process ◽  
Software Design ◽  
Source Code ◽  
Python Programming Language ◽  
Cnc Programming ◽  
G Code ◽  
Programming Software ◽  
Python Programming ◽  
Research Show

Batik is an original Indonesian heritage, that must be preserved and it is the mainstay for implementation of “Making Indonesia 4.0”. It was published many research about stamp batik manufacturing, but still have limitation of motive variation and slackly design process. This research aim to develop the way to making CNC program to be quickly, besides of high variation of batik motive. Source code in python programming language, was built for extension tool in inscape software. Extentension is used to create stamp point, depend on various motive size. Source code created in .py and .inx format will be save in “ekstensi” folder. Based on coordinate point of stamping in stamp batik, CNC program will be created, using “G-code tools” extension that was available in inscape software menubar. CNC programming used extension was built is measured about  time of process and compared to manual CNC programming. CNC program that has been built then tested in CAMotics software. The results of this research show that CNC program could maked with this extension for various dimension od batik stamp and in 2, 4, 6, 8, 10, and 12 meters of cloth length. CNC programming with extension developed, can reduce time up to 96.05%.

scholarly journals DNA Features Viewer: a sequence annotation formatting and plotting library for Python

2020 ◽  
Vol 36 (15) ◽  
pp. 4350-4352 ◽  
Author(s):  
Valentin Zulkower ◽  
Susan Rosser
Keyword(s):  
Computational Biology ◽  
Open Source ◽  
Programming Language ◽  
Source Code ◽  
Supplementary Information ◽  
Use Case ◽  
Sequence Annotation ◽  
Supplementary Data ◽  
Python Programming Language ◽  
Python Programming

Abstract Motivation Although the Python programming language counts many Bioinformatics and Computational Biology libraries; none offers customizable sequence annotation visualizations with layout optimization. Results DNA Features Viewer is a sequence annotation plotting library which optimizes plot readability while letting users tailor other visual aspects (colors, labels, highlights etc.) to their particular use case. Availability and implementation Open-source code and documentation are available on Github under the MIT license (https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer). Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals DNA Features Viewer, a sequence annotations formatting and plotting library for Python

2020 ◽  
Author(s):  
Valentin Zulkower ◽  
Susan Rosser
Keyword(s):  
Computational Biology ◽  
Open Source ◽  
Programming Language ◽  
Source Code ◽  
Layout Optimization ◽  
Supplementary Information ◽  
Use Case ◽  
Open Source Code ◽  
Python Programming Language ◽  
Python Programming

AbstractMotivationWhile the Python programming language counts many Bioinformatics and Computational Biology libraries, none offers customizable sequence annotations visualizations with layout optimization.ResultsDNA Features Viewer is a sequence annotations plotting library which optimizes plot readability while letting users tailor other visual aspects (colors, labels, highlights, etc.) to their particular use case.AvailabilityOpen-source code and documentation are available on Github under the MIT licence (https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer)[email protected] informationattached.

A Python application to generate digital signals

2020 ◽  
Vol 65 (1) ◽  
pp. 96-104
Author(s):  
Tatian-Cristian Mălin
Keyword(s):  
Numerical Simulation ◽  
Programming Language ◽  
Digital Signals ◽  
Python Programming Language ◽  
Python Programming

We introduce in this paper an application developed in the Python programming language that can be used to generate digital signals with known frequencies and amplitudes. These digital signals, since have known parameters, can be used to create benchmarks for test and numerical simulation.

An Open Source Finance System for Stocks Backtesting Trade Strategies

2021 ◽  
Vol 12 (2) ◽  
pp. 52-65
Author(s):  
Eviatar Rosenberg ◽  
Dima Alberg
Keyword(s):  
User Interface ◽  
Open Source ◽  
Programming Language ◽  
Capital Market ◽  
Historical Data ◽  
Trading Strategies ◽  
Market Volatility ◽  
Finance System ◽  
Python Programming Language ◽  
Python Programming

A significant part of pension savings is in the capital market and exposed to market volatility. The COVID-19 pandemic crisis, like the previous crises, damaged the gains achieved in those funds. This paper presents a development of open-source finance system for stocks backtesting trade strategies. The development will be operated by the Python programming language and will implement application user interface. The system will import historical data of stocks from financial web and will produce charts for analysis of the trends in stocks price. Based on technical analysis, it will run trading strategies which will be defined by the user. The system will output the trade orders that should have been executed in retrospect and concluding charts to present the profit and loss that would occur to evaluate the performance of the strategy.

scholarly journals New implementation of OGC Web Processing Service in Python programming language. PyWPS-4 and issues we are facing with processing of large raster data using OGC WPS

2016 ◽  
Vol XLI-B7 ◽  
pp. 927-930 ◽  
Author(s):  
Jáchym Čepický ◽  
Luís Moreira de Sousa
Keyword(s):  
Programming Language ◽  
Binary Data ◽  
Security Risks ◽  
Raster Data ◽  
Server Side ◽  
Python Programming Language ◽  
Technical Issues ◽  
Numeric Representation ◽  
Python Programming ◽  
Processing Service

The OGC® Web Processing Service (WPS) Interface Standard provides rules for standardizing inputs and outputs (requests and responses) for geospatial processing services, such as polygon overlay. The standard also defines how a client can request the execution of a process, and how the output from the process is handled. It defines an interface that facilitates publishing of geospatial processes and client discovery of processes and and binding to those processes into workflows. Data required by a WPS can be delivered across a network or they can be available at a server. <br><br> PyWPS was one of the first implementations of OGC WPS on the server side. It is written in the Python programming language and it tries to connect to all existing tools for geospatial data analysis, available on the Python platform. During the last two years, the PyWPS development team has written a new version (called PyWPS-4) completely from scratch. <br><br> The analysis of large raster datasets poses several technical issues in implementing the WPS standard. The data format has to be defined and validated on the server side and binary data have to be encoded using some numeric representation. Pulling raster data from remote servers introduces security risks, in addition, running several processes in parallel has to be possible, so that system resources are used efficiently while preserving security. Here we discuss these topics and illustrate some of the solutions adopted within the PyWPS implementation.

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