smores

https://www.youtube.com/watch?v=F773Jfd6J0o 1. load image on Krita 2. use Bezier Curve Selection Tool and draw the border 3. put the mouse cursor in the image, then Ctrl+Shift+i to invert the selection area 4. push B key to select brush tool, 5. adjust brush size large enough to erase easier 6. set erase mode 7. erase the background (selected area by inverted selection)

x = linspace(0,25); y = sin(x/2); yyaxis left plot(x,y); r = x.^2/2; yyaxis right; plot(x,r);

https://www.youtube.com/watch?v=O41jXvJU1xE 1. Raise My Rent - David Gilmore - 0:00 2. Cry For You - Andy Timmons - 5:51 In this playlist, it is played by Ozielzinho: https://www.youtube.com/watch?v=7YvdeuKadgw An even better remastered version by Timmons can be heard from the Ear X-Tacy album: https://www.youtube.com/watch?v=FNdcGRi-rQo 3. Caruso - Neal Schon - 12:16 4. The Prophet - Gary Moore..

Plini Joe Satriani - starry night Steve Vai - Crying Machine Robben Ford - Canonball Shuffle 하루하타, 티스퀘어, 카시오페이아 Vulfpeck, 데이브웨클밴드, 트라이벌테크 Nick Johnston, Andy James, Andy Timmons, Eric Johnson, Buckethead, Paul Gilbert, John Petrucci, Vinnie Moore, Jason Becker, Neal Schon

https://www.youtube.com/watch?v=ngj12degBiE

https://www.reddit.com/r/NeuralDSP/comments/ge1bca/what_amps_are_the_plugins_modeled_after/ Chunkotron93 There’s a thread on the Facebook group about this, but here’s the short version: Nolly: all amps have been modded by Nolly himself. Amp 1 is a Bogner Shiva clean channel Amp 2 is a 2203 Marshall JCM800 Amp 3 is a block-letter Peavey 5150 Amp 4 is a Victory V30 Countess modded to the point whe..

1. 릴렉스, 심호흡 2. 시작 전 충분한 (10분?) 손의 스트레칭 3. 느린 속도부터 차근차근 속도를 올려라 4. 레가토의 활용 5. 이코노믹 피킹 연습 6. 줄 필요한 만큼만 살살 눌러라 7. finger twisters 연습 8. 기타줄 액션 낮게 9. 피크 각도 살짝 주기 10. 손의 일부에 피봇포인트로 고정 (브릿지 등에 살짝 얹기)

매트랩은 가장 첫 두 인덱스를 기준으로 한 2차원 매트릭스의 다중차원으로 보여주는 반면 Numpy 에서는 인덱스 순서 대로 처리, 즉 마지막 두 인덱스의 2차원 매트릭스의 다중차원 중첩 식으로 보여줌. 예를 들어 ones(3,4,2,2) 라는 것을 구현할 경우 매트랩 >> ones(3,4,2,2) ans(:,:,1,1) = 1 1 1 1 1 1 1 1 1 1 1 1 ans(:,:,2,1) = 1 1 1 1 1 1 1 1 1 1 1 1 ans(:,:,1,2) = 1 1 1 1 1 1 1 1 1 1 1 1 ans(:,:,2,2) = 1 1 1 1 1 1 1 1 1 1 1 1 Numpy >>> c = np.ones((3,4,2,2)) >>> c array([[[[1., 1.], [1., 1.]], [[1., ..

https://youtube.com/shorts/HuX0V8_R1JU?feature=share

https://youtu.be/QeHTeCLN-r0