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MATERIAL PARA INFORMACIÓN

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RECORD SUMMARY ocds-0ud2q6-PB-135-2003

Total amount

163,875

Number of contracts

Buying unit

DIRECCIÓN GENERAL DE RECURSOS HUMANOS MATERIALES Y SERVICIOS GENERALES belonging to SECRETARÍA DE ENERGÍA En proceso de reestructuración

PLANNING

No data

CALL FOR TENDERS

Government agency

SECRETARÍA DE ENERGÍA En proceso de reestructuración

Buying unit

DIRECCIÓN GENERAL DE RECURSOS HUMANOS MATERIALES Y SERVICIOS GENERALES

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code PB-135-2003

Title

MATERIAL PARA INFORMACIÓN

View contract

Supplier(s)

YANET GALVÁN VELASCO

Amount

163,875 pesos mexicanos

Award status

active

Signature date

29 de diciembre de 2003

Execution period

29 de diciembre de 2003 to 29 de diciembre de 2003

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-PB-135-2003")

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-PB-135-2003')   

                        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-PB-135-2003')

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MATERIAL PARA INFORMACIÓN

RECORD SUMMARY ocds-0ud2q6-PB-135-2003

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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