Boost Your Data Exploration with pandas‑profiling: Quick Setup and Customization

This article explains why data cleaning and exploratory analysis consume most of a data scientist's time, introduces the pandas‑profiling library as a richer alternative to pandas.describe(), shows how to install and generate reports, customize them via code or YAML, and discusses performance considerations for larger datasets.

EDAYAMLdata analysis

0 likes · 8 min read

Boost Your Data Exploration with pandas‑profiling: Quick Setup and Customization

Test Development Learning Exchange

Mar 30, 2025 · Fundamentals

How to Customize Enterprise Test Reports Using Pytest and Allure

This article explains why customized test report templates are needed in enterprise API automation, and provides step‑by‑step instructions for customizing Allure reports—including logo replacement, color schemes, layout tweaks, custom tags, dynamic titles, Chinese localization, and automated generation and email distribution using Pytest.

Allurereport customization

0 likes · 7 min read

How to Customize Enterprise Test Reports Using Pytest and Allure