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ACCESORIOS PARA EQUIPO DE COMPUTO

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RECORD SUMMARY ocds-0ud2q6-601

Total amount

1

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

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 601

Title

ACCESORIOS PARA EQUIPO DE COMPUTO

View contract

Supplier(s)

WALDO CAAMAL RAMIREZ ,

SERRANO SANCHEZ LISBETH ,

Selta Muebles para Oficina S.A. de C.V. ,

Sinnova Ti S.A. de C.V. ,

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

UNIPARTS S A DE C V ,

Medicamentos selectivos S.A. De C.V. ,

SERTEL DISTRIBUIDORA S.A. DE C.V. ,

Pérez Apolo José Luís ,

Amount

1 pesos mexicanos

Award status

active

Signature date

9 de mayo de 2007

Execution period

10 de mayo de 2007 to 10 de mayo 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-0ud2q6-601")

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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-0ud2q6-601')   

                        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-0ud2q6-601')