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IMPRESORA COLOR HP LASER CP2025N

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RECORD SUMMARY ocds-0ud2q6-1392

Total amount

8,631.5

Number of contracts

1

Buying unit

DIRECCION DE ADMINISTRACION Y FINANZAS belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

DIRECCION DE ADMINISTRACION Y FINANZAS

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 1392

Title

IMPRESORA COLOR HP LASER CP2025N

View contract

Supplier(s)

Briones Electronics Scales S.A. de C.V. ,

BARCENA BORJA NEFFI ,

EL KUTOB CORNUCHET HUSSAM ,

MULTIEQUIPOS Y CONSUMIBLES S.A. DE C.V. ,

UNIPARTS S.A. DE C.V. ,

COMERCIAL MEDICA ARZE S A DE C V ,

Hi tec Medical S.A. de C.V. ,

INGENIERÍA ASESORÍA Y DISEÑO S.A. DE C.V.

Amount

8,631.5 pesos mexicanos

Award status

active

Signature date

29 de diciembre de 2010

Execution period

29 de diciembre de 2010 to 26 de enero de 2011

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-0ud2q6-1392")

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-0ud2q6-1392')   

                        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-0ud2q6-1392')