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ESTRUCTURAS Y MANUFACTURAS

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RECORD SUMMARY ocds-0ud2q6-951

Total amount

1,440.7

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

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 951

Title

ESTRUCTURAS Y MANUFACTURAS

View contract

Supplier(s)

APOYOS TECNICOS MARITIMOS SA DE CV ,

SALAZAR PULIDO JUAN MIGUEL ,

HERNANDEZ PEREZ SARA ,

OMAR ARROYO NORIEGA ,

FCD LABS S.A. DE C.V. ,

BOSTON SCIENTIFIC DE MEXICO S A DE C V ,

Rinotec S.A. de C.V. ,

DISTRIBUIDORA CHETHONE S.A. DE C.V. ,

COMPAÑIA REAMEX S.A. DE C.V. ,

COMERCIALIZADORA CIPAC ,

Grupo Ymeelda S S.A de C.V. ,

TUVALCO DEL SUR S.A. DE C.V.

Amount

1,440.7 pesos mexicanos

Award status

active

Signature date

4 de septiembre de 2007

Execution period

28 de septiembre de 2007 to 3 de octubre 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-0ud2q6-951")

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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-0ud2q6-951')   

                        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-0ud2q6-951')