DidactiChem

Química farmacéutica interactiva en Jupyter y Colab (2D/3D, pKa, prófármacos). Español por defecto; dc.set_lang("en") para inglés.

pip install didactichem

import didactichem as dc

asp = dc.Farmaco("aspirina")
asp.dibujar_2d()
asp.ionizacion(pH=7.4)
asp.animar_proton_2d()
dc.explorar()

Development Status
- 4 - Beta
Framework
- Jupyter
Intended Audience
- Education
Operating System
- OS Independent
Programming Language
Topic
- Scientific/Engineering :: Chemistry

Metadata

Development Status
- 4 - Beta
Framework
- Jupyter
Intended Audience
- Education
Operating System
- OS Independent
Programming Language
Topic
- Scientific/Engineering :: Chemistry

Release files for didactichem 0.1.1

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

Source distribution (sdist)

Source distribution for didactichem 0.1.1
File	Size	Uploaded
didactichem-0.1.1.tar.gz	92.0 kB	Aug 27, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for didactichem 0.1.1
File	Interpreter	ABI	Platform	Reset
didactichem-0.1.1-py3-none-any.whl 85.8 kB Aug 27, 2026	Python 3	none	any	Details

Total release size: 177.8 kB

Release files / didactichem-0.1.1.tar.gz

Download URL	didactichem-0.1.1.tar.gz
Size	92.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`74214c9e141ec847716dcaa6d512626c4b9eba6511a1f260896be9ef213bb382`
BLAKE2b-256 checksum How to use checksums	`8c1539a63e151310a448e8a9bea1bd69b8a0a8fc3e90f36fb7f53599ae8b9341`
Upload date	Aug 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/maurobedoya/didactichem
Publishing commit: github.com/maurobedoya/didactichem/tree/8aeaead8a4634e7e88bc9dda994805c891207141

Workflow

Publishing configuration: github.com/maurobedoya/didactichem/blob/8aeaead8a4634e7e88bc9dda994805c891207141/.github/workflows/publish.yml
Publishing logs: github.com/maurobedoya/didactichem/actions/runs/33092687596/attempts/1

Artifact

Subject: didactichem-0.1.1.tar.gz
SHA-256 checksum: 74214c9e141ec847716dcaa6d512626c4b9eba6511a1f260896be9ef213bb382 Verifying attestations

Release files / didactichem-0.1.1-py3-none-any.whl

Download URL	didactichem-0.1.1-py3-none-any.whl
Size	85.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`24f35b61d1775d953fd0690a5eb83479003d9a14b90dceb3b42a7c238dda636a`
BLAKE2b-256 checksum How to use checksums	`9cd1115357da83d86fe3302d1daf18f125e801c6499069f758a35f78f1e18b9e`
Upload date	Aug 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/maurobedoya/didactichem
Publishing commit: github.com/maurobedoya/didactichem/tree/8aeaead8a4634e7e88bc9dda994805c891207141

Workflow

Publishing configuration: github.com/maurobedoya/didactichem/blob/8aeaead8a4634e7e88bc9dda994805c891207141/.github/workflows/publish.yml
Publishing logs: github.com/maurobedoya/didactichem/actions/runs/33092687596/attempts/1

Artifact

Subject: didactichem-0.1.1-py3-none-any.whl
SHA-256 checksum: 24f35b61d1775d953fd0690a5eb83479003d9a14b90dceb3b42a7c238dda636a Verifying attestations