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Empirical Study of the Evolution of Python Questions on Stack Overflow

Syam Gopika, Lal Sangeeta, Chen Tao

e-Informatica Software Engineering Journal

2023

Vol. 17, nr 1

art. no. 230107

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.

Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints

Mishra Akshansh

Fatigue of Aircraft Structures

2020

Iss. 12

27--35

Friction Stir Welding joint quality depends on input parameters such as tool rotational speed, tool traverse speed, tool tilt angle and an axial force. Surface defects formation occurs when these input parameters are not selected properly. The main objective of the recent paper is to develop Discrete Wavelet Transform algorithm by using Python programming and further subject it to the Friction Stir Welded samples for the identification of various external surface defects present.

Safety of CMS experiment systems operation – integration of a new CO2 fire extinguishing weighing system to the CMS safety panel

Górniak Patrycja, Sobczyk Andrzej, Pobędza Janusz

System Safety : Human - Technical Facility - Environment

2019

Vol. 1, nr 1

490--497

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.