Manmeet Kaur Arora
Sahil Lal
Bhupinder Singh
- Research Scholar School of Law, Sharda University, Greater Noida Uttar Pradesh India
- Research Scholar School of Law, Sharda University, Greater Noida Uttar Pradesh India
- Professor School of Law, Sharda University, Greater Noida Uttar Pradesh India
Abstract
Even if one never intends to write scripts, mastery of shell scripting is an essential skill for anybody hoping to advance in system administration. For instance, a Linux computer uses the shell scripts to start services and restore system settings when it first boots up. Gaining an in-depth understanding of these starting scripts facilitates the analysis and possible optimization of system behavior. Because scripts may be written in short bursts and there aren’t many shell-specific operators and choices to learn, learning shell scripting isn’t too difficult. With only a few criteria to go by, the syntax is simple and evocative of chaining commands at the command line. Most simple programs launch immediately, and debugging lengthier scripts isn’t too hard. Early microcomputers could be programmed with basic computing abilities thanks to the BASIC language. This was the era of personal computing. These days, anyone with a little knowledge of Linux or UNIX can accomplish the same on contemporary systems thanks to the Bash scripting language.
Keywords: Shell, bash scripting language, UNIX, technological trends, cloud computing, big data
[This article belongs to Journal of Advances in Shell Programming(joasp)]
References
1. Singh, B., & Kaunert, C. (2024). Future of Digital Marketing: Hyper-Personalized Customer Dynamic Experience with AI-Based Predictive Models. Revolutionizing the AI-Digital Landscape: A Guide to Sustainable Emerging Technologies for Marketing Professionals, 189.
2. Gierlich-Joas, M., Baiyere, A., & Hess, T. (2024). Inverse transparency and the quest for empowerment through the design of digital workplace technologies. Journal of the Association for Information Systems.
3. Singh, B., Kaunert, C., & Vig, K. (2024). Reinventing Influence of Artificial Intelligence (AI) on Digital Consumer Lensing Transforming Consumer Recommendation Model: Exploring Stimulus Artificial Intelligence on Consumer Shopping Decisions. In T. Musiolik, R. Rodriguez, & H. Kannan (Eds.), AI Impacts in Digital Consumer Behavior (pp. 141-169). IGI Global. https://doi.org/10.4018/979-8-3693-1918-5.ch006
4. Reid, D., & Bisessar, R. (2024). Designing Futures by Empowering Novice Designers.
5. Singh, B., & Kaunert, C. (2024). Salvaging Responsible Consumption and Production of Food in the Hospitality Industry: Harnessing Machine Learning and Deep Learning for Zero Food Waste. In Sustainable Disposal Methods of Food Wastes in Hospitality Operations (pp. 176-192). IGI Global.
6. Yang, B., Jiang, S., Xu, L., Liu, K., Li, H., Xing, G., … & Yan, Z. (2024). DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge. arXiv preprint arXiv:2405.12541.
7. Guo, L., Li, X., Yan, F., Lu, Y., & Shen, W. (2024). A method for constructing a machining knowledge graph using an improved transformer. Expert Systems with Applications, 237, 121448.
8. Rani, S., & Srivastava, G. (2024). Secure hierarchical fog computing-based architecture for industry 5.0 using an attribute-based encryption scheme. Expert Systems with Applications, 235, 121180.
9. Ali, K. A., Mohin, S. K., Mondal, P., Goswami, S., Ghosh, S., & Choudhuri, S. (2024). Influence of artificial intelligence in modern pharmaceutical formulation and drug development. Future Journal of Pharmaceutical Sciences, 10(1), 53.
10. Dirik, H. F., & Seren Intepeler, S. (2024). An authentic leadership training programme to increase nurse empowerment and patient safety: A quasi‐experimental study. Journal of Advanced Nursing, 80(4), 1417-1428.
11. Alshahrani, R., Yenugula, M., Algethami, H., Alharbi, F., Goswami, S. S., Naveed, Q. N., … & Zahmatkesh, S. (2024). Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT industry. Expert systems with applications, 238, 121732.
12. Froes, P. (2024). Software Diagnosis as Intelligent Technologies in Industrial System Maintenance. Authorea Preprints.
13. Mirchandani, R. (2024). EMPOWER TO ENSLAVE: Decoding Intentions for Product Design and Demand Forecasting. Partridge Publishing.
14. Carpentras, D., Hänggli, R., & Helbing, D. (2024). Collective Intelligence for Democracy: Empowering Minorities and Everyone in Participatory Budgeting. Available at SSRN 4832498.
15. Tonle, F. B., Niassy, S., Ndadji, M. M., Tchendji, M. T., Nzeukou, A., Mudereri, B. T., … & Tonnang, H. E. (2024). A road map for developing novel decision support system (DSS) for disseminating integrated pest management (IPM) technologies. Computers and Electronics in Agriculture, 217, 108526.
16. Yang, Z., Zeng, W., Jin, S., Qian, C., Luo, P., & Liu, W. (2024). AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks. arXiv preprint arXiv:2402.15351.
17. Ma, S., Chen, Q., Wang, X., Zheng, C., Peng, Z., Yin, M., & Ma, X. (2024). Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making. arXiv preprint arXiv:2403.16812.
18. Almatrafi, O., Johri, A., & Lee, H. (2024). A Systematic Review of AI Literacy Conceptualization, Constructs, and Implementation and Assessment Efforts (2019-2023). Computers and Education Open, 100173.
19. Abaku, E. A., Edunjobi, T. E., & Odimarha, A. C. (2024). Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience. International Journal of Science and Technology Research Archive, 6(1), 092-107.
20. Luu, R. K., Arevalo, S., Lu, W., Ni, B., Yang, Z., Shen, S. C., … & Buehler, M. J. (2024). Learning from Nature to Achieve Material Sustainability: Generative AI for Rigorous Bio-Inspired Materials Design.
21. Holst, J., Grund, J., & Brock, A. (2024). Whole Institution Approach: measurable and highly effective in empowering learners and educators for sustainability. Sustainability Science, 1-18.
22. Carminati, J. Y. J., Holth, K., Ponsford, J. L., & Gould, K. R. (2024). Co-designing positive behaviour support (PBS+ PLUS) training resources: a qualitative study of people with ABI, close-others, and clinicians’ experiences. Brain Impairment, 25(2), NULL-NULL.
23. Rowan, W., McCarthy, S., Mebrahtu, S., Ertiö, T., Dimova, A., Asenova, D., … & Revez, A. (2024). Promoting active citizen engagement in sustainable energy transitions: a co-creation approach. Journal of Decision Systems, 1-12.
24. Cantarero-Arevalo, L., Kaae, S., Jacobsen, R., Nielsen, A., Slyngborg, L., Smistrup, N., … & Nørgaard, L. S. (2024). Empowering patients as co-researchers in social pharmacy: Lessons learned and practical tips for meaningful partnership and impact. Research in Social and Administrative Pharmacy, 20(3), 372-376.
25. Bai, Z., Fang, Y., Chen, H., Chen, X., An, N., Zhang, M., … & Jin, J. (2024). Development of a Evaluation Tool for Age-Appropriate Software in Aging Environments: A Delphi Study. arXiv preprint arXiv:2402.03933.
26. Hassan, A. E., Lin, D., Rajbahadur, G. K., Gallaba, K., Cogo, F. R., Chen, B., … & Jiang, Z. M. (2024). Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. arXiv preprint arXiv:2402.15943.
27. Salimi-Bani, M., Pandian, V., Vahedian-Azimi, A., Moradian, S. T., & Bahramifar, A. (2024). A respiratory critical care nurse training program for settings without a registered respiratory therapists: A protocol for a multimethod study. Intensive and Critical Care Nursing, 82, 103662.
28. Liu, C., González, V. A., Lee, G., Cabrera-Guerrero, G., Zou, Y., & Davies, R. (2024). Integrating the Last Planner System and Immersive Virtual Reality: Exploring the Social Mechanisms Produced by Using LPS in Projects. Journal of Construction Engineering and Management, 150(7), 04024070.
29. Lachney, M., Green, B., Yadav, A., Drazin, M., Allen Kuyenga, M. C., & Harris, A. (2024). Sparring with technology: collaborating with coaches, mentors, and academic staff to develop culturally responsive computing education for a youth boxing program. Educational technology research and development, 1-33.
30. Zhao, T., Gasiba, T., Lechner, U., & Pinto-Albuquerque, M. (2024). Thriving in the era of hybrid work: Raising cybersecurity awareness using serious games in industry trainings. Journal of Systems and Software, 210, 111946.
31. Indira, R. (2024). Educational design recommendations to improve the training programme for new operators of pyrolysis plants.
32. Huang, R., Lin, H., Chen, C., Zhang, K., & Zeng, W. (2024, May). PlantoGraphy: Incorporating iterative design process into generative artificial intelligence for landscape rendering. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-19).
33. Liu, W. S. K. (2024). Global Leadership Dynamics: Refining Executive Selection in Multinational Corporations. Journal of the Knowledge Economy, 1-45.
Journal of Advances in Shell Programming
| Volume | 11 |
| Issue | 02 |
| Received | April 30, 2024 |
| Accepted | May 15, 2024 |
| Published | July 4, 2024 |