Rise of Python: Analyzing Its Dominance in 2023 Programming Trends

Year : 2024 | Volume :11 | Issue : 02 | Page : 43-47
By

Manmeet Kaur Arora,

Sahil Lal,

Anjali Raghav,

Tarun Kaushik,

Bhupinder Singh,

  1. Research Scholar School of Law, Sharda University, Greater Noida, Gautam Budh Nagar Uttar Pradesh India
  2. Research Scholar School of Law, Sharda University, Greater Noida, Gautam Budh Nagar Uttar Pradesh India
  3. Research Scholar School of Law, Sharda University, Greater Noida, Gautam Budh Nagar Uttar Pradesh India
  4. Assistant Professor School of Law, Sharda University, Greater Noida, Gautam Budh Nagar Uttar Pradesh India
  5. Professor School of Law, Sharda University, Greater Noida, Gautam Budh Nagar Uttar Pradesh India

Abstract

The study is on how Python rose as a leading programming language in 2023 and what are the top reasons of this ubiquitous utilization among industries. The Python programming language has been a go-to choice for both beginners and developers alike, courtesy of its versatility in working over various domains like Data Science, Machine Learning Web Development Automation etc. By having a vast library and framework ecosystem, supported by popular tools such as Pandas, TensorFlow, and Django enhances the language functionality in accelerating development processes. The python has evolved over the years and that was mainly due to a strong community supporting it, developing resources documentation or collaborative work leading towards learning which encourage everybody for innovation. Finally, the study covers Python’s ability to adapt with new technologies like AI and IoT which contextualizes in today’s changing tech landscape. This study seeks to provide perspective regarding Python direction and how it will affect the programming world, as well a look at it with current trends future looks. Ultimately, the results show that Python is poised to remain atop of the programming landscape for many years by offering accessibility coupled with reliability and a community.

Keywords: Python, programming languages, data science, machine learning, web development

[This article belongs to Recent Trends in Parallel Computing(rtpc)]

How to cite this article: Manmeet Kaur Arora, Sahil Lal, Anjali Raghav, Tarun Kaushik, Bhupinder Singh. Rise of Python: Analyzing Its Dominance in 2023 Programming Trends. Recent Trends in Parallel Computing. 2024; 11(02):43-47.
How to cite this URL: Manmeet Kaur Arora, Sahil Lal, Anjali Raghav, Tarun Kaushik, Bhupinder Singh. Rise of Python: Analyzing Its Dominance in 2023 Programming Trends. Recent Trends in Parallel Computing. 2024; 11(02):43-47. Available from: https://journals.stmjournals.com/rtpc/article=2024/view=160356



References

  1. Zhang X, Sheng Y, Liu Z. Using expertise as an intermediary: Unleashing the power of blockchain technology to drive future sustainable management using hidden champions. Heliyon. 2024 Jan 15; 10(1): 1–19.
  2. Khan T, Civas M, Cetinkaya O, Abbasi NA, Akan OB. Nanosensor networks for smart health care. In: Han B, Tomer V, Nguyen TA, Farmani A, Singh PK, editors. Nanosensors for smart cities. Amsterdam: Elsevier; 2020 Jan 1. p. 387–403.
  3. Agoulmine N, Kim K, Kim S, Rim T, Lee JS, Meyyappan M. Enabling communication and cooperation in bio-nanosensor networks: toward innovative healthcare solutions. IEEE Wirel Commun. 2012 Oct 26; 19(5): 42–51.
  4. Dorj UO, Lee M, Choi JY, Lee YK, Jeong G. The intelligent healthcare data management system using nanosensors. J Sensors. 2017; 2017(1): 7483075.
  5. Singh B, Kaunert C. Computational thinking for innovative solutions and problem-solving techniques: Transforming conventional education to futuristic interdisciplinary higher education. In: Silva E, editor. Revolutionizing curricula through computational thinking, logic, and problem solving. Pennsylvania: IGI Global; 2024. p. 60–82.
  6. Singh B, Kaunert C. Wind and solar energy as renewable energy for sustainable global future: Projecting future multi-sector sustainable policies and innovation. In: Ghosh P, editor. Promoting multi-sector sustainability with policy and innovation. Pennsylvania: IGI Global; 2024. p. 210–245.
  7. Singh B, Kaunert C. Aroma of highly smart Internet of Medical Things (IoMT) and lightweight EdgeTrust expansion medical care facilities for electronic healthcare systems: Fortified-chain architecture for remote patient monitoring and privacy protection beyond imagination. In: Rani P, editor. Lightweight digital trust architectures in the Internet of Medical Things (IoMT). Pennsylvania: IGI Global; 2024. p. 196–212.
  8. Singh B, Jain V, Kaunert C, Dutta PK, Singh G. Privacy matters: Espousing blockchain and artificial intelligence (AI) for consumer data protection on e-commerce platforms in ethical marketing. In: Kumar D, editor. Ethical marketing through data governance standards and effective technology. Pennsylvania: IGI Global; 2024. p. 167–184.
  9. Singh B, Dutta PK, Kaunert C. Replenish artificial intelligence in renewable energy for sustainable development: Lensing SDG 7 affordable and clean energy and SDG 13 climate actions with legal-financial advisory. In: Ahuja M, editor. Social and ethical implications of AI in finance for sustainability. Pennsylvania: IGI Global; 2024. p. 198–227.
  10. Singh B, Kaunert C. Augmented reality and virtual reality modules for mindfulness: Boosting emotional intelligence and mental wellness. In: Mathur M, editor. Applications of virtual and augmented reality for health and wellbeing. Pennsylvania: IGI Global; 2024. p. 111–128.
  11. Singh B. Lensing legal dynamics for examining responsibility and deliberation of generative AI-tethered technological privacy concerns: Infringements and use of personal data by nefarious actors. In: Ghosh P, editor. Exploring the ethical implications of generative AI. Pennsylvania: IGI Global; 2024. p. 146–167.
  12. Singh B. Social cognition of incarcerated women and children: Addressing exposure to infectious diseases and legal outcomes. In: Ahuja M, editor. Principles and clinical interventions in social cognition. Pennsylvania: IGI Global; 2024. p. 236–251.
  13. Rani P. Nanosensors and their potential role in Internet of Medical Things. In: Tomer V, Singh PK, editors. Nanosensors for futuristic smart and intelligent healthcare systems. Florida: CRC Press; 2022 Aug 18. p. 293–317.
  14. Rubeis G. Ethical implications of blockchain technology in biomedical research. Ethik Med. 2024 Mar 28; 1–4.
  15. Ahirwar R, Khan N. Smart wireless nanosensor systems for human healthcare. In: Tomer V, Singh PK, editors. Nanosensors for futuristic smart and intelligent healthcare systems. Florida: CRC Press; 2022 Aug 18. p. 265–292.
  16. Han B, Tomer V, Nguyen TA, Farmani A, Singh PK, editors. Nanosensors for smart cities. Amsterdam: Elsevier; 2020 Feb 13.
  17. Sarkar S, Misra S. From micro to nano: The evolution of wireless sensor-based health care. IEEE Pulse. 2016 Jan 20; 7(1): 21–5.
  18. Rizwan A, Zoha A, Zhang R, Ahmad W, Arshad K, Ali NA, Alomainy A, Imran MA, Abbasi QH. A review on the role of nano-communication in future healthcare systems: A big data analytics perspective. IEEE Access. 2018 Jul 24; 6: 41903–20.

Regular Issue Subscription Review Article
Volume 11
Issue 02
Received July 25, 2024
Accepted July 26, 2024
Published August 1, 2024

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