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MATERIALES ACCESORIOS Y SUMINISTROS LABORATORIO

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RECORD SUMMARY ocds-0ud2q6-334

Total amount

37,298.6

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES Y SERVICIOS GENERALES. 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 Y SERVICIOS GENERALES.

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 334

Title

MATERIALES ACCESORIOS Y SUMINISTROS LABORATORIO

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Supplier(s)

MARCO ANTONIO SANCHEZ DE LA CRUZ ,

EUROELECTRICA S.A. DE C.V. ,

LABORATORIOS PISA S.A. DE C.V. ,

MEDICAL CORPORATION GROUP S.A. DE C.V. ,

Laboratorios Kener S.A. de C.V. ,

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

CORPORACION NOVAVISION S. DE R.L. DE C.V. ,

Geem Guías Eco Turísticas y Ecológicas de México ,

JJJR CIENTIFICA S A DE C V

Amount

37,298.6 pesos mexicanos

Award status

active

Signature date

25 de febrero de 2016

Execution period

25 de febrero de 2016 to 25 de marzo de 2016

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-0ud2q6-334")

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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-0ud2q6-334')   

                        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-0ud2q6-334')