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BUTACAS FABRICADAS EN ACERO TUBULAR CUADRADO.

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RECORD SUMMARY ocds-0ud2q6-1266

Total amount

140,875

Number of contracts

1

Buying unit

DIRECIÓN GENERAL DE ADMINISTRACIÓN belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

DIRECIÓN GENERAL DE ADMINISTRACIÓN

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 1266

Title

BUTACAS FABRICADAS EN ACERO TUBULAR CUADRADO.

View contract

Supplier(s)

Pons y Carrillo Jorge. ,

DOMINGUEZ FERNANDEZ ISRAEL ,

COMERCIALIZADORA VILLA DEL SUR S.A. DE C.V. ,

COMERCIAL BIOMEDICO JR S.A. DE C.V. ,

COMERCIALIZADORA E IMPORTADORA DE PRODUCTOS QUIMICOS S A DE C V ,

Artículos la Fortaleza S.A. de C.V. ,

ACCESORIOS PARA LABORATORIOS S.A. DE C.V. ,

GRUPO EMPRESARIAL LIBRA S.A. DE C.V.

Amount

140,875 pesos mexicanos

Award status

active

Signature date

9 de octubre de 2008

Execution period

6 de noviembre de 2008 to 6 de noviembre de 2008

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) 

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                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-1266")

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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-0ud2q6-1266')   

                        data = json.loads(response.read())

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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-0ud2q6-1266')