---
title: "How to Analyze Company Productivity in Python Using NumPy, OOP, and File Handling"
url: https://daily.dev/posts/how-to-analyze-company-productivity-in-python-using-numpy-oop-and-file-handling-bqtd3tg2p
source_url: https://medium.com/javarevisited/how-to-analyze-company-productivity-in-python-using-numpy-oop-and-file-handling-93e580c5f2cf
type: article
source: "Javarevisited"
author: "Mouad Oumous"
published: 2025-12-12T15:54:54.263Z
updated: 2025-12-13T12:00:12.417Z
tags: ["python", "data-visualization", "numpy", "matplotlib"]
reading_time: 5
upvotes: 1
comments: 0
language: en
---

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# How to Analyze Company Productivity in Python Using NumPy, OOP, and File Handling

**[Javarevisited](https://daily.dev/sources/javarevisited)** · [@mouadoumous](https://daily.dev/mouadoumous) · 5 min read · 1 upvotes · 0 comments

## Summary

A step-by-step tutorial demonstrating how to build a Python script that analyzes employee productivity data across multiple companies. The guide covers reading data from text files, processing it with NumPy arrays, calculating productivity metrics (best/worst performers, averages), implementing an object-oriented wrapper class for salary calculations, and visualizing results with Matplotlib line plots. Each code section is explained in detail, making it suitable for learners wanting to combine file handling, numerical operations, and basic data analysis.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/javarevisited/how-to-analyze-company-productivity-in-python-using-numpy-oop-and-file-handling-93e580c5f2cf>

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---

Tags: [#python](https://daily.dev/tags/python), [#data-visualization](https://daily.dev/tags/data-visualization), [#numpy](https://daily.dev/tags/numpy), [#matplotlib](https://daily.dev/tags/matplotlib)

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