Scollr summary
What this paper is about
The origin of AI and ML, the first programming language used for it, and its bottlenecks will be made known, and suggestions will be given on what should be improved in Python to improve AI and ML.
Full abstract
Read the full abstract
This review paper explores the vital role played by the programming language Python in Artificial Intelligence (AI) and Machine Learning (ML). It will discuss the origin of AI and ML, the first programming language used for it, and its bottlenecks will be made known. There will also be an exposition on the emergence of Python, its elements, and the comparison between Python and LISP. The adoption and integration of Python into AI and ML will be considered, and the advanced components of Python and their uses in AI and ML will also be discussed. The trajectory of AI and ML with Python and the game-changing benefits of using Python in AI and ML will be assessed. Suggestions will be given on what should be improved in Python to improve AI and ML.
Direct answer
What can I do from this paper page?
Use this page to scan "Python's Indispensability in Artificial Intelligence and Machine Learning: A Review" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Artificial Intelligence Applications research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Fatoba2026Python,
title = {Python's Indispensability in Artificial Intelligence and Machine Learning: A Review},
author = {Toyosi Mercy Fatoba},
journal = {INTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGY},
year = {2026},
doi = {10.56201/ijemt.vol.11.no4.2025.pg266.303},
url = {https://doi.org/10.56201/ijemt.vol.11.no4.2025.pg266.303}
}
FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Artificial Intelligence Applications research papers?
Follow Artificial Intelligence Applications research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for Python's Indispensability in Artificial Intelligence and Machine Learning: A Review. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app