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SERVICIOS COMO CATALOGADORA DE DOCUMENTOS HISTORICOS DEL ARCHIVO HISTORICO DE PEMEX

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RECORD SUMMARY ocds-0ud2q6-18572002-048-03

Total amount

157,500

Number of contracts

Buying unit

Área de Contratación de Servicios Genéricos belonging to PETRÓLEOS MEXICANOS

PLANNING

No data

CALL FOR TENDERS

Government agency

PETRÓLEOS MEXICANOS

Buying unit

Área de Contratación de Servicios Genéricos (Code: 18572002 )

Call type

Adjudicacion Directa (direct)

Scope

Nacional

Purchase type

Servicios (services)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code SC-15-223/2003

Title

SERVICIOS COMO CATALOGADORA DE DOCUMENTOS HISTORICOS DEL ARCHIVO HISTORICO DE PEMEX

View contract

Supplier(s)

ROSA AMELIA SANDOVAL

Amount

157,500 pesos mexicanos

Award status

active

Signature date

17 de marzo de 2003

Execution period

17 de marzo de 2003 to Fecha desconocida

Official documents

See awardNotice 1 on official site web.compranet.gob.mx:8000

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

CompraNet 3.0

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)

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-18572002-048-03")

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-0ud2q6-18572002-048-03')   

                        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-0ud2q6-18572002-048-03')

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SERVICIOS COMO CATALOGADORA DE DOCUMENTOS HISTORICOS DEL ARCHIVO HISTORICO DE PEMEX

RECORD SUMMARY ocds-0ud2q6-18572002-048-03

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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