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PRODUCTOS ALIMENTICIOS PARA PACIENTES

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RECORD SUMMARY ocds-0ud2q6-540

Total amount

24,041.9

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 540

Title

PRODUCTOS ALIMENTICIOS PARA PACIENTES

View contract

Supplier(s)

TEOFILO PEREZ JIMENEZ ,

Cicovisa S.A. de C.V. ,

FRESENIUS MEDICAL CARE DE MEXICO S.A. DE C.V. ,

CIR SERVICE S.A. DE C.V. ,

CIRCULO A.D.N. S.A. DE C.V. ,

ADETTI SEGURIDAD INDUSTRIAL S.A. DE C.V. ,

BIOMERIEUX MEXICO S.A. DE C.V. ,

ESTRATEGIA DE RESTAURANTES S.A. DE C.V. ,

GUDELIA MOTA MONDRAGON

Amount

24,041.9 pesos mexicanos

Award status

active

Signature date

28 de marzo de 2016

Execution period

28 de marzo de 2016 to 29 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)
This contract is an extension, or has corrections or amendments

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-0ud2q6-540")

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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-0ud2q6-540')   

                        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-0ud2q6-540')