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Practical statistics, Python, R verification, and proof-first research resources from NEKpress.

Download the PyStatsV1 PDF book free

PyStatsV1 is MIT-licensed educational statistics software. *Getting Started

with PyStatsV1: Applied Statistics in Python, One Proof at a Time* is available

free as a PDF with a browser-readable HTML version.

The resource helps careful learners install the tools, run a small proof,

inspect output, and avoid overclaiming from statistical examples.

Free download path

Get the PDF book free — no account, no payment card, no DRM

The free path is static and card-free. It does not use Stripe.

Direct files

PyStatsV1 and Applied Statistics with Python and R

Readers of Applied Statistics with Python and R should use the versioned Book

1 route rather than the older warm-up files:

python -m pip install "pystatsv1[book1]==0.25.2"
pystatsv1 book1 init

Open the official Book 1 companion page for complete setup,

verification, direct-download, platform, and APA Article Lab instructions.

APA Article Lab Reader Starter

The APA Article Lab Reader Starter

is a free synthetic-data proof-first workflow that moves from a documented

psychology experiment to APA-style teaching artifacts. It uses Python for the

primary workflow and selected R calculations for independent verification.

Ubuntu native and Windows 11 with WSL2 + Ubuntu are verified reader routes.

macOS remains an untested power-user adaptation route.

Historical warm-up

The historical Psych Stats with Python starter kit remains available on the

free resources page for older readers. It is free and

card-free, but it is not interchangeable with the current Book 1 companion.

Contribution boundary

The PyStatsV1 resources are available free. Optional Stripe sandbox infrastructure testing is

kept separate from this reader page. Live Stripe activation remains blocked by

environment gates and requires a separate review. Contributions are voluntary

and are not tax-deductible charitable donations unless explicitly stated after

proper review.