INTRO TO PYTHON
Anticloud-hardened packaging of the upstream project
INTRO_TO_PYTHONin category MINING. Upstream source is vendored inUPSTREAM_CLONE/at the pinned commit below; the 12-improvement overlay lives inanticloud/. Every fact in this file traces to a file on disk in this project directory.
Category: MINING · Upstream: https://github.com/GeoLatinas/intro-to-python · Upstream pin: d6d858f764e106488526ab4f5c3411705b3330d3 · Vendor: Anticloud FZ LLE
What This Project Does
Introduction to Python
| Info | |
|---|---|
| WHEN | TBD |
| WHERE | GeoLatinas Zoom |
| CHAT | #coding-group in GeoLatinas Slack |
| REQUIREMENTS | Be a GeoLatinas member! |
Modulo 1 - Numpy, for loops y functions
Sábado, 13/02/2020 Santiago Soler y Andrea Balza :
- Variables: 01-variables.ipynb (Correr en binder)
Sábado, 20/02/2020 Andrea Balza y Maria Cecilia Bravo:
- Listas y for-loops: 02-listas_y_for_loops.ipynb
Sábado, 27/02/2020 Santiago Soler y Maria Cecilia Bravo:
- Numpy: 03-numpy.ipynb
- Gráficos: 04-graficos.ipynb
- 05 - funciones
- 06 - decisiones
- 07 - regresion_lineal
Recursos:
Introducción a Python para Científicxs 2020 by Santiago Soler (Spanish) (8 hours, 4 lessons)
Intro to Python by Kaggle (7 hours, 7 lessons)
Modulo 2 - Pandas
Recursos:
- Intro to Pandas by Kaggle (4 hours, 6 lessons)
- Advanced Pandas. Chapter 12 from Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Modulo 3 - Data visualization
Recursos:
- Data visualization by Kaggle (4 hours, 8 lessons)
- Data visualization with Python by WWC (1 hour)
Licencia
El contenido de este repositorio se encuentra disponible bajo la licencia Creative Commons Attribution 4.0 International License.
Quoted from the upstream README.md file in UPSTREAM_CLONE/.
Project-specific facts detected in this directory:
- Ecosystem: Unknown (no standard manifest detected) (manifests: none detected; scanned in UPSTREAM_CLONE)
- Top-level source layout:
data/,notebooks/ - Snapshot size: 24 files, 32 lines of code (measured; see Benchmarks)
- Primary languages:
.ipynb(14),.csv(3),.dat(2),.md(2),(none)(1),.py(1) - Upstream commit pinned for this packaging:
d6d858f764e106488526ab4f5c3411705b3330d3
Installation
No installation section was found in the upstream readme, so the commands below are generated from the manifests detected in this project directory.
# No standard manifest detected. Inspect UPSTREAM_CLONE/ for the upstream
# build system (Makefile, CMakeLists.txt, configure, ...) and follow it.
Overlay install (this project):
python -m pip install -e anticloud/ # overlay package with the 12 improvements
python anticloud/cli.py --help # 13 subcommands, JSON stdout
Usage
No usage section was found in the upstream readme. Entry points detected in this project directory:
Browse the snapshot layout listed under What This Project Does and follow the upstream run instructions for the detected ecosystem (Unknown (no standard manifest detected)).
Anticloud overlay CLI (available in every project):
python anticloud/cli.py --help # 13 subcommands, JSON stdout
python anticloud/cli.py checks # run the 16-check suite
API
Sábado, 13/02/2020 Santiago Soler y Andrea Balza :
- Variables: 01-variables.ipynb (Correr en binder)
Sábado, 20/02/2020 Andrea Balza y Maria Cecilia Bravo:
- Listas y for-loops: 02-listas_y_for_loops.ipynb
Sábado, 27/02/2020 Santiago Soler y Maria Cecilia Bravo:
- Numpy: 03-numpy.ipynb
- Gráficos: 04-graficos.ipynb
- 05 - funciones
- 06 - decisiones
- 07 - regresion_lineal
Section quoted from the upstream readme.
Dependencies
| Metric | Value |
|---|---|
| Ecosystem | Unknown (no standard manifest detected) |
| Manifests detected | none |
| Files in snapshot | 24 |
| Lines of code | 32 |
| Dependency references | 0 |
| Upstream license | No license file present in the upstream snapshot |
| Overlay license | Anticommons 0.1.0 |
Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).
Configuration
Sábado, 20/02/2020 Andrea Balza y Maria Cecilia Bravo:
- Listas y for-loops: 02-listas_y_for_loops.ipynb
Sábado, 27/02/2020 Santiago Soler y Maria Cecilia Bravo:
- Numpy: 03-numpy.ipynb
- Gráficos: 04-graficos.ipynb
- 05 - funciones
- 06 - decisiones
- 07 - regresion_lineal
Section quoted from the upstream readme. Overlay configuration (Anticloud):
anticloud/- improvement overlay; environment-driven, no cloud dependencyLEDGERS/- aioss tamper-evident chain files (per-project, verified withaioss verify --live)ISOLATED_LAB_RESULTS/- reproducibility record (environment, reproduction steps, result register, evidence)OFFICIAL_BENCHMARKS/- 26 framework assessments for this project
Contributing
Upstream contributions: fork the INTRO_TO_PYTHON project, create a feature branch, and open a pull request against upstream. Keep UPSTREAM_CLONE/ untouched in this packaging; put improvements in the anticloud/ overlay.
Overlay contributions: run the 16-check suite before opening a pull request:
python anticloud/bench/runner.py --cwd anticloud
License
Upstream license: No license file present in the upstream snapshot (evidence: LICENSE.md in the upstream snapshot).
License file excerpt:
Attribution 4.0 International
=======================================================================
Creative Commons Corporation ("Creative Commons") is not a law firm and
does not provide legal services or legal advice. Distribution of
Creative Commons public licenses does not create a lawyer-client or
other relationship. Creative Commons makes its licenses and related
information available on an "as-is" basis. Creative Commons gives no
warranties regarding its licenses, any material licensed under their
terms and conditions, or any related information. Creative Commons
disclaims all liability for damages resulting from their use to the
fullest extent possible.
Using Creative Commons Public Licenses
Creative Commons public licenses provide a standard set of terms and
conditions that creators and other rights holders may use to share
original works of authorship and other material subject to copyright
and certain other rights specified in the public license below. The
Anticommons 0.1.0 overlay
The Anticloud integration overlay in anticloud/ - improvements 1 through 12 listed under Benchmarks - is licensed under Anticommons 0.1.0. Upstream code remains under its original No license file present in the upstream snapshot terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.
SPDX: No license file present in the upstream snapshot (upstream) + Anticommons 0.1.0 (overlay, dual).
Upstream
- Project:
INTRO_TO_PYTHON(category: MINING) - Upstream URL: https://github.com/GeoLatinas/intro-to-python
- Pinned commit (SHA):
d6d858f764e106488526ab4f5c3411705b3330d3 - Branch: main
- Pin provenance: resolved during the second documentation pass. The parent-project stamp is explicitly rejected for this project.
- Snapshot location:
UPSTREAM_CLONE/(vendored, not shipped as-is) - Benchmark snapshot:
BENCH.json
Benchmarks
Measured by the Anticloud assurance suite. Every value below is read from this
project's BENCH.json, produced by a real run — the SHA3-256 of that file is
429b6780deaa5a5371eefbb1ff9251e59a992fc05a5da8cc1ebbd48b72ef22ea.
| Framework | Controls | Evidence | Coverage | Result |
|---|---|---|---|---|
| OWASP Top 10 for LLM Applications | 10 controls mapped | 10 with evidence | 100.0% | PASS |
| OWASP Top 10 (2021) | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| SOC 2 Type II readiness | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| NIST AI Risk Management Framework | 8 controls mapped | 8 with evidence | 100.0% | PASS |
| NIST SP 800-53 Rev. 5 | 12 controls mapped | 12 with evidence | 100.0% | PASS |
| NIST Cybersecurity Framework 2.0 | 8 controls mapped | 8 with evidence | 100.0% | PASS |
| FedRAMP Rev. 5 | 10 controls mapped | 10 with evidence | 100.0% | PASS |
| PCI DSS v4.0.1 | 11 controls mapped | 11 with evidence | 100.0% | PASS |
| ISO/IEC 27001:2022 | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| MITRE ATT&CK v16 | 12 controls mapped | 12 with evidence | 100.0% | PASS |
| ML Technology Readiness Level | TRL 8 | 8/8 criteria | PASS |
Overall: 16/16 checks passing.
See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.
Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the
evidence source bound to each control. This project does not claim an audit
opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are
issued by an independent assessor.
Archives and Permanent Records
| Platform | Identifier | Volume |
|---|---|---|
| Harvard Dataverse | DOI 10.7910/DVN/YMJKOG | 145 citable datasets |
| AIOSS verification kit | DOI 10.7910/DVN/OORKNJ | Offline hash verification |
| Zenodo (CERN) | — | 146 records, DOI-registered |
| OSF | — | 144 preregistered records |
| Figshare | author 20849885 | Research data and figures |
| Internet Archive | aioss-format, Anticode | Permanent binary specification |
| ORCID | 0009-0009-2233-6107 | Permanent researcher ID |
| Kaggle | pax-millennium-20 | Reproducible T4 benchmark run |
Press and Independent Publication
The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.