Fairytale








































































































































































































































































































































































































































































































































































































































































































































































































































































































































Fairytale

Festival Eurovisão da Canção 2009
Artista(s)
 Alexander Rybak
Compositor(es)
 Alexander Rybak
Letrista(s)
 Alexander Rybak
Resultado da semifinal
 1.º
Pontos da semifinal
 201
Resultado da final
 1.º
Pontos da final
 387
Atuações cronológicas

◄ Hold On Be Strong (2008)   

Fairytale (Conto de Fadas), é uma música interpretada por Alexander Rybak. Esta música foi eleita pela Noruega para representar o país no Festival Eurovisão da Canção 2009.


A música foi apresentada na 2.ª Semi-Final, obtendo o apuramento para a Grande Final do Festival, onde venceu destacada.



Referências






















v • e
Músicas do Festival Eurovisão da Canção 2009
Final
(por resultados)
1. "Fairytale" • 2."Is It True?" • 3."Always" • 4."Düm Tek Tek" • 5."My Time" • 7."This Is Our Night" • 8."Et s'il fallait le faire" • 10."Jan Jan" • 11."Mamo" • 13."Believe Again" • 14."Hora din Moldova" • 15."Todas as Ruas do Amor" • 16."There Must Be Another Way" • 18."Lijepa Tena" • 19."The Balkan Girls" • 20."Miss Kiss Kiss Bang" • 22."What If We?" • 23.Pasiklydes žmogus" • 24."La noche es para mí" • 25.Lose Control"
Semifinal









1.ª Semifinal
"La teva decisió (Get a Life)" • "Eyes That Never Lie" • "Illusion" • ""Nešto što kje ostane" • "Just Get Out of My Life" • "The Highest Heights" • "Aven Romale"
2.ª Semifinal
"Firefly" • "Love Symphony" • "Dance With Me" • "I Don't Wanna Leave" • "Sastrēgums" • "Cipela" • "Let' tmou"

Retirado
"We Don't Wanna Put In"





































-

Popular posts from this blog

404 Error Contact Form 7 ajax form submitting

Image
0 The contact form does not work, and affects loading after one try. The chrome console shows the error message: POST http://example.com/wp-json/contact-form-7/v1/contact-forms/50/feedback 404 (Not Found) send @ jquery.js?ver=1.12.4:4 ajax @ jquery.js?ver=1.12.4:4 wpcf7.submit @ scripts.js?ver=5.0.3:346 (anonymous) @ scripts.js?ver=5.0.3:53 dispatch @ jquery.js?ver=1.12.4:3 r.handle @ jquery.js?ver=1.12.4:3 How to solve this issue? thanks in advance javascript wordpress contact-form-7 share | improve this question edited Jul 17 '18 at 5:39 Kiran Shahi 4,745 3 16 43
Read more

How to know if a Active Directory user can login interactively

Image
1 I would like to know if and how is it possible to know if a AD user can login interactively (on a server) in a domain. I need to know if I can find it out using a LDAP search. Thanks. windows active-directory login user-permissions user-profile share | improve this question edited 1 hour ago yagmoth555 ♦ 11.6k 3 17 42 asked 1 hour ago Luigi Luigi 6 1 New contributor
Read more

TypeError: fit_transform() missing 1 required positional argument: 'X'

Image
0 I am trying to do Feature Scaling in a dataset, but I get an error and have no idea how to proceed: > Traceback (most recent call last): > > File "<ipython-input-10-71bea414b4d0>", line 22, in <module> > x_train = sc_X.fit_transform(x_train) > > TypeError: fit_transform() missing 1 required positional argument: 'X' and here is my code: import pandas as pd # Importing the dataset dataset = pd.read_csv('Data.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, 3].values # Taking care of missing data from sklearn.preprocessing import Imputer imputer = Imputer(missing_values="NaN", strategy="mean", axis=0) imputer = Imputer.fit(imputer,X[:,1:3]) X[:, 1:3] = Imputer.transform(imputer,X[
Read more