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MATERIALES ACCESORIOS Y SUMINISTROS MEDICOS

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RECORD SUMMARY ocds-0ud2q6-417

Total amount

101,597.9

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

LICITACION PUBLICA INTERNACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 417

Title

MATERIALES ACCESORIOS Y SUMINISTROS MEDICOS

View contract

Supplier(s)

TOTAL COPIAS S.A. DE C.V. ,

COCITEC MEXICANA S.A. DE C.V. ,

SUMINISTROS MEDICOS MATERIAL DE LABORATORIOS Y REACTIVOS ARI S.A. de C.V. ,

MARIA ARACELI RIVERA NIETO ,

EUROHERSA S.A. DE C.V. ,

HI-TEC MEDICAL S.A. DE C.V. ,

Maquicec Química S.A. De C.V. ,

EFECTIVALE S.A. DE C.V. ,

JESÚS CAMARILLO HUESCA ,

GIGANTE S.A. DE C.V. ,

Intermueble Spacio S.A. de C. V. ,

Agencia de Viajes Maruata S.A. de C.V. ,

SUMINISTRADOR DE UTENCILIOS MEDICOS SALUD Y BIENESTAR S A DE C V

Amount

101,597.9 pesos mexicanos

Award status

active

Signature date

6 de marzo de 2015

Execution period

6 de marzo de 2015 to 8 de abril de 2015

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-0ud2q6-417")

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-0ud2q6-417')   

                        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-0ud2q6-417')