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UTEN1LIOS DE ALIMENTACION

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RECORD SUMMARY ocds-0ud2q6-485

Total amount

65,666.2

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 485

Title

UTEN1LIOS DE ALIMENTACION

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Supplier(s)

CONSTRUCCIONES Y COMERCIALIZADORA UC S.A. DE C.V. ,

PROVEEDORA DE MATERIALES ROMM S.A. DE C.V. ,

SERVICIOS ESPECIALIZADOS DE ABASTECIMIENTO S.C. ,

BOSTON SCIENTIFIC DE MEXICO S.A. DE C.V. ,

UNIPARTS S A DE C V ,

Siemens S.A. de C.V. ,

MIGUEL BOJORQUEZ MARTINEZ ,

ZUCAFE S.A. DE C.V. ,

MA. SOLEDAD PEREZ RODRIGUEZ ,

Urimick S.A. de C.V. ,

DISTRIBUIDORA COAPA S. A. DE C.V.

Amount

65,666.2 pesos mexicanos

Award status

active

Signature date

2 de abril de 2007

Execution period

14 de mayo de 2007 to 9 de junio de 2007

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.insp.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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                        library(rjson) 

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                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-485")

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                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-485')   

                        data = json.loads(response.read())

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                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-485')