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REPARACIÓN DE BOMBA DE CISTERNA

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RECORD SUMMARY ocds-0ud2q6-174

Total amount

2,088

Number of contracts

1

Buying unit

DIRECTOR DE ADMINISTRACIÓN Y FINANZAS belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

DIRECTOR DE ADMINISTRACIÓN Y FINANZAS

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 174

Title

REPARACIÓN DE BOMBA DE CISTERNA

View contract

Supplier(s)

SISTEMA INFORMATIVO DE TABASCO S.A. DE C.V. ,

COORDINACION MERCANTIL MEXICANA S.A. DE C.V. ,

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

SPECTRIS MÉXICO S DE R.L. DE C.V. ,

FESTO PNEUMATIC S.A. ,

MANUEL HUMBERTO PECH WONG ,

SERVICIOS INTEGRALES EN NUTRICION S.A. DE C.V. ,

CONTROL TECNICO Y REPRESENTACIONES S.A. DE C.V. ,

ISRAEL GUZMAN MONTIEL ,

CASA PLARRE S.A DE C V. ,

Uniparts S.A. ,

ESTEBAN MARTÍNEZ DE PAZ ,

COMUNICACIONES NEXTEL S.A DE C.V. ,

LOREDO SOTO CLAUDIO ANTONIO ,

Despacho Santa María Cazares y Asociados S.C. ,

ERNESTO ALEJANDRO MIRANDA

Amount

2,088 pesos mexicanos

Award status

active

Signature date

23 de junio de 2014

Execution period

23 de junio de 2014 to 23 de junio de 2014

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.inper.edu.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-0ud2q6-174")

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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-0ud2q6-174')   

                        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-0ud2q6-174')