Optimizing Web Performance with Python: A Practical Approach

Authors

  • G. Saichand Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India
  • K. Apoorva Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India
  • I. Maheen Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India
  • G. Brahmani Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India
  • M. Bharathi Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India

DOI:

https://doi.org/10.46610/JoIDACS.2024.v01i02.003

Keywords:

Business goals, Functionality, Metrics, User engagement, Website performance analysis

Abstract

In this paper, we're diving into Website Performance Analysis, where we'll explore how to evaluate different aspects of a website's performance. This includes things like how well the site functions, how engaged users are, and whether it's meeting its business goals effectively. Understanding these metrics is super important because they directly affect how happy users are, how many turn them into customers, and ultimately, how successful and reputable a business becomes. So, if you're curious about how to dig into website performance, this article is perfect for you. We'll walk you through the process using Python, from understanding the critical metrics to using Python tools to analyze them. It's like a roadmap to making your website the best it can be in the digital world, all with the help of Python. In this article, we'll show you how to dive into Website Performance Analysis using Python, step by step.

Author Biographies

G. Saichand, Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India

Under Graduate Student, Department of Computer Science and Engineering

K. Apoorva, Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India

Under Graduate Student, Department of Computer Science and Engineering

I. Maheen, Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India

Under Graduate Student, Department of Artificial Intelligence and Machine Learning

G. Brahmani, Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India

Under Graduate Student, Department of Artificial Intelligence and Machine Learning

M. Bharathi, Jayaprakash Narayan College of Engineering, Mahbubnagar, Telangana, India

Assistant Professor, Department of Artificial Intelligence and Machine Learning

Published

2024-07-15

How to Cite

G. Saichand, K. Apoorva, I. Maheen, G. Brahmani, & M. Bharathi. (2024). Optimizing Web Performance with Python: A Practical Approach. Journal of Intelligent Data Analysis and Computational Statistics (p-ISSN: 3049-3056 E-ISSN: 3048-7080), 1(2), 18–29. https://doi.org/10.46610/JoIDACS.2024.v01i02.003