Think of your R/Python session like a kitchen: The longer you cook, the messier it gets. Variables conflict, packages clash, memory fills up (3/9) - ThreadSky

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tommytang.bsky.social • 1 day ago

Think of your R/Python session like a kitchen: The longer you cook, the messier it gets. Variables conflict, packages clash, memory fills up (3/9)

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tommytang.bsky.social•1 day ago

Real example: One student had different versions of ggplot2 loaded in the same session. Plots kept failing. Restart = clean slate = problem solved (4/9)

tommytang.bsky.social•1 day ago

Another case: Memory-intensive genomic analysis crashing randomly. After restart + fresh session: smooth sailing. Always clear your workspace! (5/9)

tommytang.bsky.social•1 day ago

Here's a truth bomb: When code fails, it's rarely the computer's fault. 99.9% of the time, it's human error. Restart helps you spot YOUR mistakes (6/9)

tommytang.bsky.social•1 day ago

Pro tip for reproducibility: Can your analysis run from start to finish in a fresh session? If not, you might have hidden dependencies 🔍 (7/9)

tommytang.bsky.social•1 day ago

Try this: Before any important analysis:
• Restart R/Python
• Clear all variables
• Run entire script This catches hidden bugs early (8/9)

tommytang.bsky.social•1 day ago

Key takeaways:
• Restart first, debug later
• Fresh sessions = reproducible science
• Trust the computer, question your code
• Document ALL dependencies

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