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PRODUCTOS QUIMICOS BASICOS

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RECORD SUMMARY ocds-0ud2q6-473

Total amount

204,913.5

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 473

Title

PRODUCTOS QUIMICOS BASICOS

View contract

Supplier(s)

TOTAL COPIAS S.A. DE C.V. ,

IMAGEN Y PROYECCIÓN PROFESIONAL S.A. DE C.V. ,

DEL MARINE SERVICES L.L. C. ,

QUIMICA LAVOI1ER S.A. DE C.V. ,

BOSTON SCIENTIFIC DE MEXICO S.A. DE C.V. ,

Krueger International de México S.A. De C.V. ,

MIDSCI S.A. DE C.V. ,

DISTRIBUIDORA SAN S.A. DE C.V. ,

OPERADORA DE ALIMENTOS INTERNACIONALES S.A. DE C.V. ,

Excorp Tecnologías de Información S. de R.L. de C.V. ,

LABORATORIOS LICON S A DE C V

Amount

204,913.5 pesos mexicanos

Award status

active

Signature date

14 de marzo de 2016

Execution period

14 de marzo de 2016 to 15 de abril 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)
This contract is an extension, or has corrections or amendments

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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Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-473")

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-0ud2q6-473')   

                        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-0ud2q6-473')