A molecular modeling task can be straightforward once and still become frustrating when you need to repeat it: the same sequence of actions, the same setup, and the same opportunities to miss a step. Repetition also makes it harder to explain exactly how a result was produced. In SAMSON, Python scripting offers a path toward automating recurring work, while document-embedded scripts can help keep a scripted workflow close to the document in which it is used.
The useful question is not simply whether a task can be automated. It is whether the task happens often enough, or needs to be reproduced clearly enough, that reducing manual repetition is worthwhile.
Start with the task, not the code
Before writing a script, describe the workflow in ordinary language. What are the repeated actions? Which parts are always the same, and which depend on the particular model or question? This small bit of planning helps distinguish a stable routine from a one-off exploration. If the sequence changes every time, scripting may not save effort. If the same steps recur, automation may make them easier to repeat and review.
Next, decide what you want the script to accomplish. A focused goal—automating a recurring action or packaging a scripted workflow for reuse—is easier to reason about than trying to automate an entire project at once. Begin with one bounded task, then consider whether the approach is useful before expanding it.
Use the scripting path for repeatable work
SAMSON’s scripting documentation is the place to start when your goal is Python automation inside the platform. It covers the integrated Python environment, package management, running scripts, and embedding scripts or apps in documents. Those capabilities address different needs:
- Run a script: a practical direction when you want to automate a task rather than repeat its steps manually.
- Manage packages: relevant when your scripting work involves Python packages.
- Embed a script or app in a document: a direction to explore when the workflow should travel with a document, rather than exist only as a separate piece of code.
Embedding is especially worth considering when other people may need to understand or reuse a scripted workflow. It gives you a way to bring the script or app into the document context. As with any reusable workflow, make its purpose clear: explain what problem it addresses and what a user should expect before running it.
Keep reproducibility practical
A script can reduce repeated manual work, but it does not automatically make a scientific workflow reproducible. Reproducibility also depends on communicating what the workflow does and on keeping track of the choices that matter to your work. Treat automation as one part of that effort: make the task explicit, keep the scope manageable, and provide enough context for a future user—including you—to understand why the script exists.
If the workflow relies on capabilities that are not built in, or you want to install or develop additional capabilities, the next step is different. The Extending SAMSON guide covers extension management and the path toward the Software Development Kit (SDK) and extension development. In short: start with scripting for automation; explore extensions when your goal is to add capabilities or understand how they are developed and distributed.
A simple route through the documentation
- Open Scripting if you want to automate work with Python, manage packages, run scripts, or embed a script or app in a document.
- Open Extending SAMSON if you need to manage extensions or explore the SDK and extension development.
- Choose the route that matches the problem you are solving; you do not need to learn both paths to get started with one.
The goal is not to automate every modeling decision. It is to spend less time repeating predictable steps, while making useful workflows easier to revisit and share. For the complete overview and suggested paths, learn more in the Automate and extend documentation.
Note: SAMSON and all SAMSON Extensions are free for non-commercial use. Get SAMSON.