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MATERIALES ACCESORIOS Y SUMINISTROS MEDICOS

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RECORD SUMMARY ocds-0ud2q6-321

Total amount

1.1 millones (1,142,035.08 )

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

LICITACION PUBLICA NACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 321

Title

MATERIALES ACCESORIOS Y SUMINISTROS MEDICOS

View contract

Supplier(s)

JET VAN CAR RENTAL S.A. DE C.V. ,

PROGRAME S.A. DE C.V. ,

MUEBLES ROAL S.A. DE C.V. ,

RODRIGUEZ GUTIERREZ ARTURO ,

MEDICAL CORPORATION GROUP S.A. DE C.V. ,

JAMES MARTI CARLOS ,

REACTIVOS Y MARCAS DE MEXICO S.A. DE C.V. ,

C. Carlos Antonio Galindo Mejía ,

QUIMIBELL S.A. DE C.V. ,

OFIX S.A. DE C.V. ,

Talleres Gráficos de México ,

HOSPI MEDICAL S A DE C V

Amount

1.1 millones pesos mexicanos (1,142,035.08 MXN)

Award status

active

Signature date

26 de febrero de 2016

Execution period

26 de febrero de 2016 to 25 de marzo 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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Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-321")

Add this to your code:


                        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-0ud2q6-321')   

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

Python (pandas, json)

Add this to your code:


                        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-0ud2q6-321')