Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

SciPy best practices: optimization and statistics v1.0.0

Use this resource to write scientific computing code with SciPy

New

  • 597 downloads
  • 117 likes
  • 118 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install scipy-optimization-signal-stats

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent writes or reviews SciPy code: optimization with minimize, linear algebra, statistics, interpolation, integration, signal processing and sparse matrices. You get numerically careful, tested code.

Mostly picked by

Updated November 2, 2026

Card for the “SciPy best practices: optimization and statistics” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

Similar resources

View all

What you get

  • SKILL.md: principles and scientific code conventions
  • SKILL.md: optimize, linalg, stats, interpolate and integrate
  • SKILL.md: signal, sparse matrices, performance and testing

Good fit for

  • You fit a model to measurements through optimization
  • You analyze a signal or a series of measurements

Not for

    Tags

    • scipy
    • optimization
    • statistics
    • scientific computing

    About

    You say

    “Fit an exponential curve to my measurements with scipy.optimize.minimize and check the error.”

    Card for the “SciPy best practices: optimization and statistics” skill

    Skill published by mindrally under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to write scientific computing code with SciPy
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.5 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/scipy-best-practices
    Licence
    Apache-2.0

    Notice

    « scipy-best-practices » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.