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REFACCIONES Y ACCESORIOS MENORES

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RECORD SUMMARY ocds-0ud2q6-523

Total amount

184,561.8

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 523

Title

REFACCIONES Y ACCESORIOS MENORES

View contract

Supplier(s)

SUPER SERVICIO QUIJOTE S.A. DE C.V. ,

DEL MARINE SERVICES ,

GRUPO GAOMA S.A. DE C.V. ,

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

EFECTIVALE S.A. DE C.V. ,

QIAGEN DE MEXICO S. DE R.L. DE C.V. ,

UNIPARTS S.A. DE C.V. ,

OFFICE DEPOT DE MEXICO S.A. DE C.V. ,

REACTIVOS Y SUMINISTROS PARA LABORATORIO S.A. DE C.V. ,

DESARROLLO TECNOLÓGICO A COMUNICACIONES S.A. DE C.V. ,

AVILA CHAVEZ CARLOS ,

TESORERIA DEL GOBIERNO DEL ESTADO ,

Radio móvil Dipsa S.A. de C.V. ,

DEWIMED S A DE C V

Amount

184,561.8 pesos mexicanos

Award status

active

Signature date

22 de marzo de 2016

Execution period

22 de marzo de 2016 to 22 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-0ud2q6-523")

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-0ud2q6-523')   

                        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-0ud2q6-523')