** Code injection in Python is a serious threat that can lead to devastating consequences such as unauthorized data access, financial fraud, or total system takeover. It occurs when malicious code is inserted into a software system, causing it to execute unintended commands. The most common sources of code injection include user-controlled inputs, insecure use of eval() and related functions, lack of input validation and sanitization, risks associated with dynamic code construction, and insecure deserialization. To mitigate these vulnerabilities, developers can employ countermeasures such as safeguarding user-controlled inputs, using safer alternatives to eval(), implementing input validation and sanitization, addressing dynamic code construction, and enforcing strong access controls. Additionally, embracing a set of best practices and conventions, such as regular security scanning with tools like Snyk, secure logging practices, and cultivating a secure coding environment through regular code reviews and security audits, can help create robust and secure applications.