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ALFA AMILASA TERMOESTABLE PARA LA DETERMINACION DE FIBRA DIETARIA ALMACENAR EN REFRIGERACION PRES FCO C/10 ML

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RECORD SUMMARY ocds-0ud2q6-909

Total amount

8,379.8

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 909

Title

ALFA AMILASA TERMOESTABLE PARA LA DETERMINACION DE FIBRA DIETARIA ALMACENAR EN REFRIGERACION PRES FCO C/10 ML

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Supplier(s)

CONSTRUCCIONES MARITIMAS E INDUSTRIALES DE DOS BOCAS S.A. DE C.V. ,

FRANCO HERNANDEZ RODRIGO ,

Comercializadora Breaya S.A. de C.V. ,

POLIMEROS 2000 S.A. DE C.V. ,

ACCESORIOS PARA LABORATORIOS S A DE C V ,

ABBOTT LABORATORIES DE MEXICO S.A. DE C.V. ,

Reliable de México S.A. De C.V. ,

LUCILA RUBICELA HERNANDEZ CRUZ. ,

Leonor Hilda Rached Rodríguez/ Corporación Rached ,

FCD LABS S.A. DE C.V.

Amount

8,379.8 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)

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-0ud2q6-909")

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-0ud2q6-909')   

                        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-0ud2q6-909')