If you have ever repeated the same sequence of steps while preparing or analyzing a molecular model, you know how easily routine work can consume time. Repeating a procedure by hand also makes it harder to remember exactly what you did—or to apply the same process consistently to the next model.
In SAMSON, scripting offers a way to move suitable repetitive tasks into Python workflows. The goal is not to automate everything. It is to identify the steps you repeat, make the procedure easier to run again, and decide how that workflow should be shared or maintained.
Start with the task, not the code
Before writing a script, describe the task in ordinary language. What are you trying to accomplish? Which steps do you repeat? What should be true when the task is finished? This short outline helps separate the stable, repeatable parts of your work from the judgments that still require your attention.
For example, a useful first candidate is a sequence of actions you perform regularly and in a consistent order. If the steps change substantially from one project to another, first clarify the process. A script is most useful when it captures a procedure you already understand.
Use the scripting path for automation
SAMSON provides an integrated Python environment for running scripts and managing packages. The Scripting guide is the place to begin if your goal is automation, reproducibility, or Python workflows embedded in documents.
Think of a script as a written record of a procedure as well as a way to reduce repeated manual work. Keep the purpose clear, use descriptive names, and document assumptions that might otherwise be easy to forget. A colleague—or you, several months later—should be able to understand what the workflow is intended to do and when it is appropriate to use.
Start with a small, well-defined task rather than trying to automate an entire modeling project at once. Run the workflow, inspect the result, and refine it as needed. This makes it easier to spot unclear assumptions and to decide whether the task is genuinely repeatable. The documentation also covers embedding scripts or apps in documents, which can be useful when the workflow should travel with the document rather than remain only as a separate procedure.
Choose how the workflow should travel
Once a script is useful, consider how you or someone else will access it. If the aim is to preserve or share a scripted workflow in a document, the scripting path is the relevant starting point. If the goal is to add capabilities to SAMSON or explore how extensions are developed and distributed, continue to Extending SAMSON.
These are related but distinct needs. A script addresses automation within your workflow; extension management and development address adding capabilities. Choosing the right path early can save time and keep a small automation task from turning into a larger development project unnecessarily.
A practical checklist
- Pick one repeated task. Choose a procedure with a clear purpose and a recognizable result.
- Write down the steps. Record what you do and any assumptions that affect the outcome.
- Begin with scripting. Use SAMSON’s integrated Python environment to explore scripts and package management.
- Make the workflow understandable. Explain its purpose and how to tell whether it completed as intended.
- Decide whether to embed or extend. Use document-embedded scripts or apps when the workflow belongs with a document; explore extensions when you want to add or develop capabilities.
Automation is most valuable when it makes a known process easier to repeat and review—not when it hides decisions that should remain visible. A small, understandable script can be a practical first step toward more consistent molecular modeling work.
For the full guide to scripting and extensions, see Automate and extend.
Note: SAMSON and all SAMSON Extensions are free for non-commercial use. Get SAMSON at www.samson-connect.net.