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PRODUCTOS QUIMICOS BASICOS

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RECORD SUMMARY ocds-0ud2q6-972

Total amount

96,229.4

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES Y SERVICIOS GENERALES. 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 Y SERVICIOS GENERALES.

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 972

Title

PRODUCTOS QUIMICOS BASICOS

View contract

Supplier(s)

DECORS EXPRESS S.A. DE C.V. ,

LOPEZ MONDRAGON JORGE SERGIO ,

SERVICIOS PAPELEROS VELA S.A. DE C.V. ,

CAVA0VA S.A. DE C.V. ,

FCD LABS S.A. DE C.V. ,

MULTIFARMACOS DE OCCIDENTE S.A. DE C.V. ,

Eypro S.A. De C.V. ,

GRUPO DE ESTUDIOS NUEVOS DE MÉXICO S.A. DE C.V. ,

APPLIED BIOSYSTEMS DE MEXICO S DE R L DE CV ,

Teléfonos de México S.A de C.V.

Amount

96,229.4 pesos mexicanos

Award status

active

Signature date

1 de junio de 2016

Execution period

1 de junio de 2016 to 4 de julio de 2016

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-0ud2q6-972")

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-0ud2q6-972')   

                        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-0ud2q6-972')