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ALIMENTACION DE PERSONAS

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RECORD SUMMARY ocds-0ud2q6-1239

Total amount

21,796

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES 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

Call type

OTROS (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 1239

Title

ALIMENTACION DE PERSONAS

View contract

Supplier(s)

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

RAMIREZ AVILA DIEGO ,

MOTA MARIN MIGUEL ANGEL ,

DELMAN INTERNACIONAL S.A. DE C.V. ,

TELEFONOS DE MEXICO S.A.B. DE C.V. ,

COMERCIAL BIOMEDICO JR S.A. DE C.V. ,

ISRAEL GUZMAN MONTIL ,

Biosistemas avanzados S.A. de C.V. ,

ACCOR SERVICIOS EMPRESARIALES S.A. DE C.V. ,

C. MERCEDES ROCÍO GUTIÉRREZ ÁLVAREZ ,

CAVA0VA S.A. DE C.V.

Amount

21,796 pesos mexicanos

Award status

active

Signature date

7 de noviembre de 2007

Execution period

21 de noviembre de 2007 to 21 de diciembre de 2007

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-0ud2q6-1239")

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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-0ud2q6-1239')   

                        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-0ud2q6-1239')