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PRODUCTOS QUIMICOS BASICOS

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RECORD SUMMARY ocds-0ud2q6-377

Total amount

10,917.3

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 377

Title

PRODUCTOS QUIMICOS BASICOS

View contract

Supplier(s)

GRUPO SIGMA DIVISION GOLFO S.A. DE C.V. ,

CONSORCIO INDUSTRIAL EN JARDINERIA S.A. DE C.V. ,

CARLSON WAGONLIT MEXICO S.A. DE C.V. ,

COMERCIALIZADORA EN DIAG0STICO Y ANALITICA S.A. DE C.V. ,

POLIMEROS 2000 S.A. DE C.V. ,

PROAGRO S.A. DE C.V. ,

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

Medical Dimegar S.A. de C.V. ,

MILLIPORE S.A. DE C.V. ,

LEONARDO LÓPEZ GONZÁLEZ ,

OPERADORA VIPS S. DE R.L. DE C.V. ,

GRISLY IVETT FERNANDEZ ESCALANTE ,

Conalep Colegio Nacional De Educación Profesional Técnica. ,

CARMA REPRESENTACIONES S A DE C V

Amount

10,917.3 pesos mexicanos

Award status

active

Signature date

2 de marzo de 2016

Execution period

2 de marzo de 2016 to 4 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)

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-0ud2q6-377")

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-0ud2q6-377')   

                        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-0ud2q6-377')