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PRODUCTOS ALIMENTICIOS PARA PERSONAL

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RECORD SUMMARY ocds-0ud2q6-531

Total amount

142,854.8

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 531

Title

PRODUCTOS ALIMENTICIOS PARA PERSONAL

View contract

Supplier(s)

JORGE ALBERTO SEVILLA QUINTERO ,

ROGELIO AGUILAR DEL VALLE ,

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

CASA MARZAM S.A. DE C.V. ,

Seguridad Industrial Libra S.A. de C.V. ,

FARMACEUTICOS MAYPO S.A. DE C.V. ,

SOLUCIONES INTEGRALES AMR S.A. DE C.V. ,

GRUPOSIEN S.A. DE C.V. ,

QIAGEN MEXICO S. DE R.L. DE C.V. ,

CASTELLANOS SANCHEZ CHRISTIAN ,

TECNOLOGÍA ELECTRÓNICA Y SISTEMAS DE TELECOMUNICACIONES DE MÉXICO S.A. DE C.V. ,

Ingeniería e Integración Digital S.A de C.V. ,

DISTRIBUIDORA DE ABARROTES GAT S A DE C V

Amount

142,854.8 pesos mexicanos

Award status

active

Signature date

28 de marzo de 2016

Execution period

28 de marzo de 2016 to 29 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-0ud2q6-531")

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-0ud2q6-531')   

                        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-0ud2q6-531')