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SERVICIO DE SUMINISTRO INTALACIÓN DE EQUIPO PARA EXPOSICIÓN DE METAS

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RECORD SUMMARY ocds-0ud2q6-AD33/1/2007

Total amount

92,540.5

Number of contracts

Buying unit

DIRECTOR GENERAL DE RECURSOS MATERIALES OBRA PÚBLICA Y SERVICIOS GENERALES belonging to SECRETARÍA DE HACIENDA Y CRÉDITO PÚBLICO

PLANNING

No data

CALL FOR TENDERS

Government agency

SECRETARÍA DE HACIENDA Y CRÉDITO PÚBLICO

Buying unit

DIRECTOR GENERAL DE RECURSOS MATERIALES OBRA PÚBLICA Y SERVICIOS GENERALES

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code AD33/1/2007

Title

SERVICIO DE SUMINISTRO INTALACIÓN DE EQUIPO PARA EXPOSICIÓN DE METAS

View contract

Supplier(s)

PRYCO INTERNACIONAL S.A DE C.V.

Amount

92,540.5 pesos mexicanos

Award status

active

Signature date

30 de mayo de 2007

Execution period

31 de mayo de 2007 to 10 de julio de 2013

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.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

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

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R (json)

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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-AD33%2F1%2F2007")

Python (json)

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-AD33%2F1%2F2007')   

                        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-AD33%2F1%2F2007')

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SERVICIO DE SUMINISTRO INTALACIÓN DE EQUIPO PARA EXPOSICIÓN DE METAS

RECORD SUMMARY ocds-0ud2q6-AD33/1/2007

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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