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PRODUCTOS QUIMICOS BASICOS

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RECORD SUMMARY ocds-0ud2q6-1217

Total amount

13,420

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 1217

Title

PRODUCTOS QUIMICOS BASICOS

View contract

Supplier(s)

LUIS ENRIQUE PEREZ VELASQUEZ ,

TAMAYO CORRALES NANCY ,

COMPAÑÍA INTERNACIONAL DE DISTRIBUCIONES S.A. DE C.V. ,

INDUSTRIAS BIOSELEC S.A. DE C.V. ,

MLS Textil S.A. De C.V. ,

EASY TECH DE MORELOS S. DE R.L. DE C.V. ,

UNIPARTS S.A. DE C.V. ,

Carcamal y Asociados S.A. de C.V. ,

Casa de Moneda de México ,

COMERCIALIZADORA E IMPORTADORA DE PRODUCTOS QUIMICOS S A DE C V

Amount

13,420 pesos mexicanos

Award status

active

Signature date

28 de junio de 2016

Execution period

28 de junio de 2016 to 29 de julio 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-0ud2q6-1217")

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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-0ud2q6-1217')   

                        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-0ud2q6-1217')