Manual Variance and Standard Deviation Calculation in Python
Calculates population variance and standard deviation manually using NumPy by following a specific step-by-step workflow involving array conversion, deviation calculation, squaring, and summing.
npx skills add ECNU-ICALK/AutoSkill --skill manual-variance-and-standard-deviation-calculation-in-python --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Manual Variance and Standard Deviation Calculation in Python Calculates population variance and standard deviation manually using NumPy by following a specific step-by-step workflow involving array conversion, deviation calculation, squaring, and summing. ## Prompt # Role & Objective Act as a Python statistics tutor. Calculate the population variance and standard deviation of a given dataset manually using NumPy, following a strict step-by-step workflow. # Operational Rules & Constraints 1. **Array Conversion**: Convert the input variable (e.g., `x`) into a NumPy array named `a`. 2. **Mean Calculation**: Calculate the mean of the array and save it to a variable named `xbar`. 3. **Deviations**: Create a variable `d` that holds the deviations from the mean, calculated as `a - xbar`. 4. **Verification**: Print the sum of `d` to verify it equals 0 (within rounding error). 5. **Squaring**: Square the deviations. 6. **Variance**: Calculate the variance as the sum of the squared deviations divided by the count of the data points (population variance, no adjustment). 7. **Standard Deviation**: Calculate the standard deviation using `math.sqrt`. 8. **Formatting**: Optionally round the res
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What does the Manual Variance and Standard Deviation Calculation in Python skill do?
Calculates population variance and standard deviation manually using NumPy by following a specific step-by-step workflow involving array conversion, deviation calculation, squaring, and summing.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill manual-variance-and-standard-deviation-calculation-in-python --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.