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MATERIALES Y UTILES PARA EL PROCESAMIENTO EN EQUIPOS Y BIENES INFORMATICOS

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RECORD SUMMARY ocds-0ud2q6-150645

Total amount

79,228

Number of contracts

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES belonging to HOSPITAL GENERAL DE MÉXICO DR. EDUARDO LICEAGA

PLANNING

No data

CALL FOR TENDERS

Government agency

HOSPITAL GENERAL DE MÉXICO DR. EDUARDO LICEAGA

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES

Call type

LICITACION PUBLICA INTERNACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 150645

Title

MATERIALES Y UTILES PARA EL PROCESAMIENTO EN EQUIPOS Y BIENES INFORMATICOS

View contract

Supplier(s)

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

LICIMAR S.A. DE C.V.

Amount

79,228 pesos mexicanos

Award status

active

Signature date

15 de mayo de 2015

Execution period

15 de mayo de 2015 to 31 de diciembre de 2015

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)

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-0ud2q6-150645")

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-0ud2q6-150645')   

                        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-0ud2q6-150645')

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MATERIALES Y UTILES PARA EL PROCESAMIENTO EN EQUIPOS Y BIENES INFORMATICOS

RECORD SUMMARY ocds-0ud2q6-150645

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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