A soft introduction to Python dependency management explores the intricacies of managing dependencies in Python, a language known for its simplicity and ease of use. An interpreted language, Python relies on an interpreter to execute code, rather than compiling it into machine code beforehand. Dependencies are managed through package managers like pip, which can be used to install required libraries and ensure version compatibility. The article discusses the importance of performing due diligence on package health, security, and license risks. It also introduces popular dependency managers such as Poetry, pyenv, and Setuptools, each with their strengths and weaknesses. Additionally, it highlights the value of tools like Snyk Advisor for securing Python dependencies and promoting secure development practices.