How do you approach reproducibility in computational experiments?
I've been thinking about reproducibility in my computational neuroscience work. What tools and practices do you use to ensure your analyses are reproducible?
I currently use:
- Git for version control
- Conda for environment management
- Jupyter notebooks with execution order marked
But I feel like I could be doing more. Would love to hear what works for others!
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