how to call object of a list python
L = [1, 2, 3, 4] print(L[1]) ## Calls the index position of the list "L"
Here is what the above code is Doing:
1. We create a list called “L”
2. We print the index position of the list “L”
L = [1, 2, 3, 4] print(L[1]) ## Calls the index position of the list "L"
Here is what the above code is Doing:
1. We create a list called “L”
2. We print the index position of the list “L”
from sklearn.metrics import accuracy_score accuracy = accuracy_score(”’prediction”’, ”’lebels_test”’ ) Here is what the above code is Doing: 1. We are importing the accuracy_score function from the sklearn.metrics library. 2. We are using the accuracy_score function to calculate the accuracy of our model. 3. We are storing the accuracy of our model in the variable accuracy.
$ brew install pyenv Here is what the above code is Doing: 1. Install pyenv 2. Install pyenv-virtualenv 3. Add pyenv to your path 4. Add pyenv-virtualenv to your path 5. Add the following to your .bash_profile or .zshrc: export PATH=”$HOME/.pyenv/bin:$PATH” eval “$(pyenv init -)” eval “$(pyenv virtualenv-init -)” 6. Restart your shell 7. Install…
def volume(radius): return (4/3) * math.pi * (radius ** 3) # (4/3)πr^3 Here is what the above code is Doing: 1. We define a function called volume that takes one argument, radius. 2. We define a variable called volume_cylinder that calls the volume function with the argument radius. 3. We print the value of volume_cylinder.
drawImage(……., mask=’auto’) Here is what the above code is Doing: 1. Create a new image with the same size as the original image. 2. Draw the original image on the new image. 3. Draw the mask on the new image. 4. Set the pixels where the mask is transparent to transparent on the new image….
from os import path from pydub import AudioSegment # files src = input(“In: “) dst = input(“Out: “) # convert mp3 to wav sound = AudioSegment.from_mp3(src) sound.export(dst, format=”wav”) Here is what the above code is Doing: 1. It’s asking for the input file and output file. 2. It’s converting the input file to a wav…
# Depth First Search: DFS Algorithm # 1) Pick any node. # 2) If it is unvisited, mark it as visited and recur on all its # adjacent (neighbours) nodes. # 3) Repeat until all the nodes are visited graph= { ‘A’ : [‘B’,’C’], ‘B’ : [‘D’, ‘E’], ‘C’ : [‘F’], ‘D’ : [], ‘E’…