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PRODUCTOS ALIMENTICIOS PARA PERSONAL

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RECORD SUMMARY ocds-0ud2q6-367

Total amount

13,695

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 367

Title

PRODUCTOS ALIMENTICIOS PARA PERSONAL

View contract

Supplier(s)

DIAZ ESTUA Y ASOCIADOS S. DE R.L. DE C.V. ,

FERRETERIA PORTALES S.A DE C.V. ,

ATV COMUNICACIONES S.A. DE C.V. ,

RODRIGUEZ GUTIERREZ ARTURO ,

MERXAM CORPORATIVO S DE RL DE CV ,

EUROCOPTER DE MEXICO S.A. DE C.V. ,

ACCESORIOS Y SUMINISTROS PARA LABORATORIO S.A. DE C.V. ,

Instrumentación Médica S.A. de C.V. ,

ACCESORIOS PARA LABORATORIOS S.A. DE C.V. ,

INTERQUALITY S.A. DE C.V. ,

Lic. Jesús Enrique Pantoja Mercado ,

SOCIEDAD COOPERATIVA DE TRABAJADORES DE PRODUCTOS DEL MAR TEPEPAN S C L

Amount

13,695 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-0ud2q6-367")

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-0ud2q6-367')   

                        data = json.loads(response.read())

Python (pandas, json)

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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-0ud2q6-367')