Exploratory data analysis of the Brazilian Olist e-commerce dataset using Python, Pandas, NumPy, and Matplotlib. The goal is to understand sales trends, product categories, customer locations, ...
A beginner-friendly, GitHub-ready data analyst project that explores workforce composition, salary patterns, employee satisfaction, tenure, and attrition using Python, Pandas, NumPy, and Matplotlib.
Matplotlib is the plotting library behind most figures in Python-based analysis, and import matplotlib.pyplot as plt is how a script gets access to it. The Matplotlib quick-start page uses exactly ...
NumPy, which stands for Numerical Python, is a powerful library in Python programming used for numerical computations. It provides support for arrays, matrices, and a host of mathematical functions to ...
The product is sold out” or “I ordered too much and have leftover stock.”Inventory surplus and shortage are common problems ...
Local Code is a free, open-source AI agent for Mac that runs DeepSeek 4.1 Flash on device, with Python, Node.js and a shell ...
Getting Started with Operations Research for Birdsong in Python—Decoding forest sounds with "mathematical optimization" and ...
A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
Two things are true about Python: It’s the most popular programming language in the world, and it’s the most common companion language for Go developers. How do we know that? From the Developer ...
Five AutoHotkey v2 scripts that handle repetitive Windows desktop work around data analysis: launching a project workspace, converting clipboard IDs to Python or SQL lists, fixing file paths, and ...
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The Python Packaging User Guide (packaging.python.org, “Installing packages”, checked 2026-10-29) recommends invoking pip through the interpreter and doing the install inside a virtual environment.
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