Simple Linear Regression Package

A pure Python implementation of Simple Linear Regression built from scratch.

Usage

from simple_regression import SimpleLinearRegression

X = [1, 2, 3, 4, 5]
y = [2, 4, 5, 4, 5]

model = SimpleLinearRegression()
model.fit(X, y)
print(model.predict([6, 7]))

Metadata

Release files for simple-regression-nadjib 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for simple-regression-nadjib 0.1.0
File	Size	Uploaded	Provenance
simple_regression_nadjib-0.1.0.tar.gz	1.9 kB	Oct 24, 2026	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for simple-regression-nadjib 0.1.0
File	Interpreter	ABI	Platform	Reset
simple_regression_nadjib-0.1.0-py3-none-any.whl 2.5 kB Oct 24, 2026 Without provenance	Python 3	none	any	Details

Total release size: 4.4 kB

Release files / simple_regression_nadjib-0.1.0.tar.gz

Download URL	simple_regression_nadjib-0.1.0.tar.gz
Size	1.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`c1e69cfdddb16b9910fb01d1cf1c4633b9853dd8318fae058fc9d8f20cda998e`
BLAKE2b-256 checksum How to use checksums	`2d32ac78074fd215c5b5ea8234d47b9446887fc0a1fb4c1ce8cc6441b983f3b4`
Upload date	Oct 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.3`

Release files / simple_regression_nadjib-0.1.0-py3-none-any.whl

Download URL	simple_regression_nadjib-0.1.0-py3-none-any.whl
Size	2.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`a437cdeb2e1d36160358d80e3f5fe81efdfd666fb3242c17a822687eb07de981`
BLAKE2b-256 checksum How to use checksums	`ca692784d7edc0b1bfb145bf0e80aca2844c94d8641992e9698070d62a07b17a`
Upload date	Oct 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.3`

Security for simple-regression-nadjib 0.1.0

Report project as malware

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.0 This release

Oct 24, 2026 2 release files No provenance

simple-regression-nadjib 0.1.0