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UTEN1LIOS PARA ALIMENTACION

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RECORD SUMMARY ocds-0ud2q6-233

Total amount

133,186.7

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 233

Title

UTEN1LIOS PARA ALIMENTACION

View contract

Supplier(s)

EDGAR ARTURO IÑIGUEZ GONZALEZ ,

LA CASA DE LA BASCULA S.A. DE C.V. ,

CARLSON WAGONLIT MEXICO S.A. DE C.V. ,

VIEJO FERRETERÍA Y MATERIALES S.A. DE C.V. ,

MR COMPUTER SOLUTIONS S.A. DE C.V. ,

ENDOMEDICA S.A. DE C.V. ,

MARIA GUADALUPE RODRIGUEZ TORRES ,

AMPLIBIO S.A. DE C.V. ,

Tella Medina Luz Marina ,

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

INEGI INSTITUTO NACIONAL DE ESTADISTICA GEOGRAFIA E INFORMATICA ,

IDT EN SISTEMAS DE INFORMACION S.A. DE C.V. ,

CARVAJAL HARLAND S.A. DE C.V. ,

Dimufo S.A. de C.V. ,

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

Amount

133,186.7 pesos mexicanos

Award status

active

Signature date

19 de febrero de 2007

Execution period

19 de febrero de 2007 to 2 de mayo 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-0ud2q6-233")

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-0ud2q6-233')   

                        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-0ud2q6-233')