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MATERIALES ACCESORIOS Y SUMINISTROS MEDICOS

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RECORD SUMMARY ocds-0ud2q6-527

Total amount

3.3 millones (3,346,706.72 )

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES Y SERVICIOS GENERALES. 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 Y SERVICIOS GENERALES.

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 527

Title

MATERIALES ACCESORIOS Y SUMINISTROS MEDICOS

View contract

Supplier(s)

LIDIA NELLY SOLIS HERRERA ,

ERENDIRA ALDARACA FERRAO Y/ O PROVEEDORA FERRAO ,

PRODUCTOS PROMAVIC SA DE CV ,

PROQUIFA S.A. DE C.V. ,

CASA MARZAM S.A. DE C.V. ,

LUZ Y FUERZA DEL CENTRO ,

EQUIPOS PARA LA ENSEÑANZA S.A. DE C.V. ,

AVANTEL S. DE R.L. DE C.V. ,

UNIPARTS S.A. ,

CAFETERIAS TOKS S.A. DE C.V. ,

Corporativo de Servicios Empresariales y Astronómicos S.A de C.V. ,

PEGO MEDICAL S A DE C V

Amount

3.3 millones pesos mexicanos (3,346,706.72 MXN)

Award status

active

Signature date

18 de marzo de 2016

Execution period

18 de marzo de 2016 to 18 de abril de 2016

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) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-527")

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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-0ud2q6-527')   

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

Python (pandas, json)

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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-0ud2q6-527')