Good lecture. Humorous part for me: There was a moment during this when she's showing a transformation of a transformation, and she says, "you can almost just do this in your head," and I immediately felt like an idiot. Then later, around 1:19:00, she said the 1999 movie was 30 years old, and I felt like a genius.
why i am getting error in plot of vector: vectors = [(2,2)] tails = [(-3,-2),(-3,1),(0,0),(1,-3)] plot_vector(vectors, tails) --------------------------------------------------------------------------- NameError Traceback (most recent call last) in ----> 1 plot_vector(vectors, tails) NameError: name 'plot_vector' is not defined
Good lecture. Humorous part for me:
There was a moment during this when she's showing a transformation of a transformation, and she says, "you can almost just do this in your head," and I immediately felt like an idiot. Then later, around 1:19:00, she said the 1999 movie was 30 years old, and I felt like a genius.
Which proves, brain is still more powerful than computer.
Github link for this tutorial:
github.com/engineersCode/EngComp4_landlinear
My God, this is so GOOD!!!
This lecture is underrated.
The link is github.com/engineersCode/EngComp4_landlinear
how to get those scripts files you didn't given github link??
It was in the description of the video github.com/engineersCode/EngComp4_landlinear
I can't find the page Jupyter NBviewer :(
This is a really nice session! shame that it had to end in such hurry! would have been really nice if the eigen stuff was given more time!!
@Enthought Can I get the link to the git repo?
Perhaps: github.com/engineersCode/EngComp4_landlinear
why i am getting error in plot of vector:
vectors = [(2,2)]
tails = [(-3,-2),(-3,1),(0,0),(1,-3)]
plot_vector(vectors, tails)
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
----> 1 plot_vector(vectors, tails)
NameError: name 'plot_vector' is not defined
for new version it might have defined as some other defination try to search for it
please explain it