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PRODUCTOS ALIMENTICIOS PARA PERSONAL

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RECORD SUMMARY ocds-0ud2q6-455

Total amount

52,490

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 455

Title

PRODUCTOS ALIMENTICIOS PARA PERSONAL

View contract

Supplier(s)

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

PHASE II DE MEXICO S.A. DE C.V. ,

TRI STAR AVIATION COMPANY ,

MONDRAGON MARTINEZ ROSA MARIA ,

ACCEMED CONSUMIBLES S.A. DE C.V. ,

SURO S.A. DE C.V. ,

EFECTIVALE S.A. DE C.V. ,

Millipore S.A. De C.V. ,

JOSE DAVID SALAS SANCHEZ ,

AURELIO RAMIREZ SEGURA ,

Dealers Suply S.A. de C.V. ,

ERNESTO GUILLERMO ROA CARRALES

Amount

52,490 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)

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) 

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                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-455")

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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-0ud2q6-455')   

                        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-0ud2q6-455')