Let me know when the data is updated again

Expediente

Experto independiente en riesgos financieros

SHARE

The copied or shared URL is the exact current page, including any filters applied if you are in the search.
REPORT

What do you want to report?

RECORD SUMMARY ocds-0ud2q6-FFM-037-16

Total amount

231,000

Number of contracts

Buying unit

DIRECCIÓN DE CRÉDITO FINANZAS Y ADMINISTRACIÓN belonging to FIDEICOMISO DE FOMENTO MINERO

PLANNING

No data

CALL FOR TENDERS

Government agency

FIDEICOMISO DE FOMENTO MINERO

Buying unit

DIRECCIÓN DE CRÉDITO FINANZAS Y ADMINISTRACIÓN

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code FFM-037-16

Title

Experto independiente en riesgos financieros

View contract

Supplier(s)

Jesús Martínez Torres

Amount

231,000 pesos mexicanos

Award status

active

Signature date

1 de junio de 2016

Execution period

1 de junio de 2016 to 31 de diciembre de 2016

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.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

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-FFM-037-16")

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-FFM-037-16')   

                        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-FFM-037-16')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

Experto independiente en riesgos financieros

RECORD SUMMARY ocds-0ud2q6-FFM-037-16

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences