As Python continues to dominate the software development landscape, powering everything from simple scripts to complex web applications and machine learning models, its security has become a critical concern. With the growing frequency of cyberattacks and data breaches, it’s essential for developers to proactively safeguard their Python applications against vulnerabilities. Python’s simplicity and flexibility make it a go-to language for rapid development, but these same features can also introduce risks when security best practices are overlooked.