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ESTANDAR DE ALL TRANS RETINOL PRESENTACION FRASCO CON 1 GRAMO

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RECORD SUMMARY ocds-0ud2q6-936

Total amount

5,707.2

Number of contracts

1

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN

Call type

LICITACION PUBLICA INTERNACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 936

Title

ESTANDAR DE ALL TRANS RETINOL PRESENTACION FRASCO CON 1 GRAMO

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Supplier(s)

NEOCORP S DE RL ,

CEDILLO BLANCO JULIETA BEATRIZ ,

GUADARRAMA MANDUJANO CHRISTIAN ALEXANDRA ,

CALLEJA JIMENEZ HUGO ,

COMERCIALIZADORA E IMPORTADORA DE PRODUCTOS QUIMICOS S.A. DE C.V. ,

JJJR CIENTIFIC S A DE C V ,

MAYOREO COMERCIAL S.A. DE C.V. ,

Comercializadora de insumos para la salud S.A. De C.V. ,

AMPLIBIO S.A. DE C.V. ,

Fama Publicidad S.A de C.V. ,

FCD LABS S.A. DE C.V.

Amount

5,707.2 pesos mexicanos

Award status

active

Signature date

13 de enero de 2015

Execution period

13 de enero de 2015 to 31 de enero 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)
This contract is an extension, or has corrections or amendments

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

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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-0ud2q6-936")

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                        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-0ud2q6-936')   

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

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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-0ud2q6-936')