Marine accidents can occur due to various factors such as collisions, sinking, strandings and fires. When faced with such emergencies, the crew"s safety becomes the top priority, often necessitating the abandon ship to ensure their survival. However, abandon ship is challenging due to the narrow and complex structure of ships, especially when considering the unique environment of the sea, where professional rescue organizations may not be readily available. To facilitate efficient abandon ship, it"s crucial to develop abandon ship scenarios for different situations. This requires the use of an analysis program capable of systematically evaluating and determining the optimal evacuation route. In this paper, researchers utilized Python, a widely-used programming language known for its versatility, to calculate the optimal route for abandon ship. By leveraging Python, they developed an analysis program that could quickly and systematically analyze various abandonment scenarios. The study compared the optimal routes calculated using two different programs, SEA-Pro and Python, across four scenarios. Remarkably, the results showed a high degree of similarity between the optimal paths generated by both programs in all scenarios. Moreover, the proposed method utilizes the open jupyter notebook program, eliminating any financial burden associated with adopting this approach. Additionally, the time required to calculate the optimal path is minimal, further enhancing its utility from an operational perspective. Overall, this method offers a practical and effective solution for optimizing evacuation routes, thereby improving preparedness and response capabilities in maritime emergencies. By leveraging technology and computational analysis, officer can enhance safety measures and minimize the risks associated with marine accidents.