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Showing posts with the label Waterfall Methodology

Unearthing Social Media Stars: Building an Influencer Discovery Tool with Python

Introduction In the dynamic digital marketing landscape, the importance of influencers continues to rise. As brands strive to locate the perfect influencer for their campaigns, an "Influencer Discovery Tool" can be the perfect ally. This article provides a granular guide for Python developers to craft this tool with precision. In this walkthrough, we delve into every stage of the development process, from understanding the project and developing core features to conducting rigorous testing and eventual deployment. Developing an "Influencer Discovery Tool" is a nuanced project that combines social media analysis with influencer evaluation. For an intermediate Python developer, a structured action roadmap is crucial, particularly under the Waterfall methodology. Here's how the project can be approached: Project Outline :  Lead Harvesting: 5 Fascinating Python-Centric Projects   5. Influencer Discovery Tool Phase 1: Planning and Research (2 Weeks) Weeks 1-2: Projec...