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IMPRE1ÓN DE DOCUMENTOS OFICIALES

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RECORD SUMMARY ocds-0ud2q6-124

Total amount

247,561.7

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES 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

Call type

LICITACION PUBLICA NACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 124

Title

IMPRE1ÓN DE DOCUMENTOS OFICIALES

View contract

Supplier(s)

SERVICIOS Y CONSTRUCCIONES NAVALES DEL SURESTE S.A. DE C.V. ,

GAP DIGITAL S. A. DE C. V. ,

CECILIA PUGA FRAUSTO ,

OFICINAS Y PAPELERIA S.A. DE C.V. ,

PROCEQUIP S.A. DE C.V. ,

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

PEGO S A DE C V ,

PANIFICADORA EL HORNO S.A. DE C.V. ,

FRIGASA S.A. DE C.V.. ,

Representaciones O.P.V. S.A. de C.V. ,

HILARIO ARRIAGA MELENDEZ ,

LEONARDO LÓPEZ GONZÁLEZ ,

ISIS ISABEL FERREIRA SANCHEZ ,

VICTOR PEÑA CASARRUBIAS ,

HIR COMPAÑIA DE SEGUROS SA DE CV ,

Conalep Colegio Nacional de Educación Profesional Técnica. ,

0TYSTOCK S. A. DE C.V.

Amount

247,561.7 pesos mexicanos

Award status

active

Signature date

26 de enero de 2007

Execution period

26 de enero de 2007 to 31 de diciembre de 2007

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-0ud2q6-124")

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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-0ud2q6-124')   

                        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-0ud2q6-124')