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MEDICINAS Y PRODUCTOS FARMACEUTICOS

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RECORD SUMMARY ocds-0ud2q6-1231

Total amount

11,106

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES

Call type

OTROS (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 1231

Title

MEDICINAS Y PRODUCTOS FARMACEUTICOS

View contract

Supplier(s)

MARCOS ANTONIO GARCIA ORTIZ ,

MONTELONGO GONZALEZ JORGE EDGAR ,

GARIBAY RUIZ LUISA DE FATIMA ,

HEIDELBERG MEXICO S. DE R.L. DE C.V. ,

COMERCIAL BIOMEDICO JR S.A. DE C.V. ,

FRANCISCO QUIRINO CARAPIA ALCANTARA ,

Accesorios para Laboratorios S.A. de C.V. ,

UNIPARTS S.A. DE C.V. ,

Janus Technology S.A. de C.V. ,

FARMACOS ESPECIALIZADOS S.A. DE C.V.

Amount

11,106 pesos mexicanos

Award status

active

Signature date

6 de noviembre de 2007

Execution period

4 de diciembre de 2007 to 9 de diciembre de 2007

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.insp.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

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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-0ud2q6-1231")

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-0ud2q6-1231')   

                        data = json.loads(response.read())

Python (pandas, json)

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                        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-0ud2q6-1231')