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ALCOHOL ETILICO ABSOLUTO (ETANOL ABSOLUTO) RE ANALITICO PUREZA 99 - 100 % FRASCO COLOR AMBAR PRES FCO DE 4 LITROS

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RECORD SUMMARY ocds-0ud2q6-1092

Total amount

10,769.4

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 1092

Title

ALCOHOL ETILICO ABSOLUTO (ETANOL ABSOLUTO) RE ANALITICO PUREZA 99 - 100 % FRASCO COLOR AMBAR PRES FCO DE 4 LITROS

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Supplier(s)

MICROECOL S.A. DE C.V. ,

REYES RAMIREZ ESPERANZA ,

REPRESENTACIONES REGINA S.A. DE C.V. ,

INSTITUTO NACIONAL DE CIENCIAS MEDICAS Y NUTRICION SALVADOR ZUBIRAN ,

APPLIED BIOSYSTEMS DE MEXICO S DE R L DE CV ,

Grupo Seypro S.A. de C.V. ,

ACCESORIOS PARA LABORATORIOS S.A. DE C.V. ,

RUTH LATISNERÉ BEJAR ,

Group To Go S.A. de C.V. ,

TEQUIMEC S. DE R.L. DE C.V.

Amount

10,769.4 pesos mexicanos

Award status

active

Signature date

13 de enero de 2015

Execution period

13 de enero de 2015 to 31 de diciembre de 2015

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

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-0ud2q6-1092")

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-0ud2q6-1092')   

                        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-0ud2q6-1092')