Technology & Management Review

Peer Reviewed Article

Vol. 5 (2020)

Making a Dynamic Website: A Simple JavaScript Guide

Published
2020-02-15

Abstract

JavaScript is a high-level programming language that complies, mostly just-in-time and adheres to the ECMAScript standard. Dynamic typing, prototype-based object orientation, and first-class functions are all features of this programming language. Thanks to its multi-paradigm nature, it has event-driven, functional, and imperative programming styles that can all be supported. This study is dedicated to the JavaScript language, not the parts specific to Web pages or other host environments. The utility of scripting languages has been demonstrated in various application domains. This study shows that the most common programming language, JavaScript, is in the top 10 languages. And then there is JavaScript, which has become an essential tool for bringing client-side functionality to Web applications as it has grown in popularity.

References

  1. Andrew, A. M. (2012). Data output from Javascript. Kybernetes, 41(10), 1604-1606. https://doi.org/10.1108/03684921211276774
  2. Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2019). Voice Recognition Systems in the Cloud Networks: Has It Reached Its Full Potential?. Asian Journal of Applied Science and Engineering, 8(1), 51–60. https://doi.org/10.18034/ajase.v8i1.12
  3. Chen, S., Thaduri, U. R., & Ballamudi, V. K. R. (2019). Front-End Development in React: An Overview. Engineering International, 7(2), 117–126. https://doi.org/10.18034/ei.v7i2.662
  4. Dekkati, S., & Thaduri, U. R. (2017). Innovative Method for the Prediction of Software Defects Based on Class Imbalance Datasets. Technology & Management Review, 2, 1–5. https://upright.pub/index.php/tmr/article/view/78
  5. Dekkati, S., Lal, K., & Desamsetti, H. (2019). React Native for Android: Cross-Platform Mobile Application Development. Global Disclosure of Economics and Business, 8(2), 153-164. https://doi.org/10.18034/gdeb.v8i2.696
  6. Deming, C., Dekkati, S., & Desamsetti, H. (2018). Exploratory Data Analysis and Visualization for Business Analytics. Asian Journal of Applied Science and Engineering, 7(1), 93–100. https://doi.org/10.18034/ajase.v7i1.53
  7. Desamsetti, H. (2016). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.
  8. Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661
  9. Dongyang, H., Jun, C., Hao, W. (2016). ISPRS International Journal of Geo-Information. Basel 5(7), 105. https://doi.org/10.3390/ijgi5070105
  10. Fylaktopoulos, G., Goumas, G., Skolarikis, M., Sotiropoulos, A. & Maglogiannis, I. (2016). An overview of platforms for cloud-based development. SpringerPlus, 5, 38. https://doi.org/10.1186/s40064-016-1688-5
  11. Gutlapalli, S. S. (2016a). An Examination of Nanotechnology’s Role as an Integral Part of Electronics. ABC Research Alert, 4(3), 21–27. https://doi.org/10.18034/ra.v4i3.651
  12. Gutlapalli, S. S. (2016b). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653
  13. Gutlapalli, S. S. (2017a). Analysis of Multimodal Data Using Deep Learning and Machine Learning. Asian Journal of Humanity, Art and Literature, 4(2), 171–176. https://doi.org/10.18034/ajhal.v4i2.658
  14. Gutlapalli, S. S. (2017b). The Role of Deep Learning in the Fourth Industrial Revolution: A Digital Transformation Approach. Asian Accounting and Auditing Advancement, 8(1), 52–56. Retrieved from https://4ajournal.com/article/view/77
  15. Gutlapalli, S. S. (2017c). An Early Cautionary Scan of the Security Risks of the Internet of Things. Asian Journal of Applied Science and Engineering, 6, 163–168. Retrieved from https://ajase.net/article/view/14
  16. Gutlapalli, S. S., Mandapuram, M., Reddy, M., & Bodepudi, A. (2019). Evaluation of Hospital Information Systems (HIS) in terms of their Suitability for Tasks. Malaysian Journal of Medical and Biological Research, 6(2), 143–150. https://doi.org/10.18034/mjmbr.v6i2.661
  17. Kienle, H. M. (2010). It's About Time to Take JavaScript (More) Seriously. IEEE Software, 27(3), 60-62. https://doi.org/10.1109/MS.2010.76
  18. Laine, M., Shestakov, D., Litvinova, E. and Vuorimaa, P. (2011).Toward Unified Web Application Development. IT Professional, 13(5), 30-36. https://doi.org/10.1109/MITP.2011.55
  19. Lal, K., & Ballamudi, V. K. R. (2017). Unlock Data’s Full Potential with Segment: A Cloud Data Integration Approach. Technology &Amp; Management Review, 2, 6–12. https://upright.pub/index.php/tmr/article/view/80
  20. Lal, K., Ballamudi, V. K. R., & Thaduri, U. R. (2018). Exploiting the Potential of Artificial Intelligence in Decision Support Systems. ABC Journal of Advanced Research, 7(2), 131-138. https://doi.org/10.18034/abcjar.v7i2.695
  21. Larkin, H. (2015). A framework for programmatically designing user interfaces in JavaScript. International Journal of Pervasive Computing and Communications, 11(3), 254–269. https://doi.org/10.1108/IJPCC-03-2015-0014
  22. Lennon, B. (2018). JavaScript Affogato: Programming a Culture of Improvised Expertise. Configurations 26(1), 47–72. https://doi.org/10.1353/con.2018.0002
  23. Mandapuram, M. (2016). Applications of Blockchain and Distributed Ledger Technology (DLT) in Commercial Settings. Asian Accounting and Auditing Advancement, 7(1), 50–57. https://4ajournal.com/article/view/76
  24. Mandapuram, M. (2017a). Application of Artificial Intelligence in Contemporary Business: An Analysis for Content Management System Optimization. Asian Business Review, 7(3), 117–122. https://doi.org/10.18034/abr.v7i3.650
  25. Mandapuram, M. (2017b). Security Risk Analysis of the Internet of Things: An Early Cautionary Scan. ABC Research Alert, 5(3), 49–55. https://doi.org/10.18034/ra.v5i3.650
  26. Mandapuram, M., & Hosen, M. F. (2018). The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison. Global Disclosure of Economics and Business, 7(2), 89–96. https://doi.org/10.18034/gdeb.v7i2.657
  27. Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the Prospects of Generative Artificial Intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659
  28. McGranaghan, M. (2011). ClojureScript: Functional Programming for JavaScript Platforms. IEEE Internet Computing, 15(6), 97-102. https://doi.org/10.1109/MIC.2011.148
  29. Paola, G., Albert, S., (2017). Scientific Annals of Computer Science. Iasi, 27(1), 19-76. https://doi.org/10.7561/SACS.2017.1.19
  30. Thaduri, U. R., Ballamudi, V. K. R., Dekkati, S., & Mandapuram, M. (2016). Making the Cloud Adoption Decisions: Gaining Advantages from Taking an Integrated Approach. International Journal of Reciprocal Symmetry and Theoretical Physics, 3, 11–16. https://upright.pub/index.php/ijrstp/article/view/77
  31. Thodupunori, S. R., & Gutlapalli, S. S. (2018). Overview of LeOra Software: A Statistical Tool for Decision Makers. Technology & Management Review, 3(1), 7–11.
  32. Yunsik, S., Seman, O., Yangsun, L. (2017). International Information Institute (Tokyo). Koganei, 20(5A), 3259-3266.

Similar Articles

You may also start an advanced similarity search for this article.