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PRODUCTOS QUIMICOS BASICOS

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RECORD SUMMARY ocds-0ud2q6-342

Total amount

12.6 millones (12,559,180.8 )

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 342

Title

PRODUCTOS QUIMICOS BASICOS

View contract

Supplier(s)

SERVICIOS INTEGRALES DE INGENIERIA PROCURA Y CONSTRUCCION EN ADMINISTRACION DE RIESGOS SA DE CV ,

INDUSTRIAL FERRETERA GALA S.A. DE C.V. ,

PROGRAMACION COMERCIAL APLICADA S.A. DE C.V. ,

ELIHELP S.A. DE C.V. ,

VICTOR ORTEGA RANGEL ,

COMERC. E IMP. DE ARTICULOS NOVEDOSOS S.A. DE C.V. ,

Arkanum S.A. de C.V. ,

D.Q. MICROBIOLOGIA LABORATORIOS S.A. DE C.V. ,

NIETO BARRIGA ANTONIO DE JESUS ,

Talleres Gráficos de México ,

ABALAT S A DE C V

Amount

12.6 millones pesos mexicanos (12,559,180.8 MXN)

Award status

active

Signature date

26 de febrero de 2016

Execution period

26 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) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-342")

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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-0ud2q6-342')   

                        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-0ud2q6-342')