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MATERIALES ACCESORIOS Y SUMINISTROS DE LABORATORIO

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RECORD SUMMARY ocds-0ud2q6-705

Total amount

15,621.6

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 705

Title

MATERIALES ACCESORIOS Y SUMINISTROS DE LABORATORIO

View contract

Supplier(s)

IMECAF MEXICO SC ,

AVILA SANDOVAL JOSE HUMBERTO ,

SUMINISTROS MEDICOS MATERIAL DE LABORATORIOS Y REACTIVOS ARI S.A. de C.V. ,

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

Vyp System S.A. De C.V. ,

MIGUEL BOJORQUEZ MARTINEZ ,

AMPLIBIO S.A. DE C.V. ,

Grupo Eléctrico Larios S.A de C.V. ,

UNIPARTS S A DE C V

Amount

15,621.6 pesos mexicanos

Award status

active

Signature date

21 de abril de 2016

Execution period

21 de abril de 2016 to 23 de junio 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) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-705")

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-0ud2q6-705')   

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

Python (pandas, json)

Add this to your code:


                        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-0ud2q6-705')