ostwalprasad

python -Bc "import pathlib; [p.unlink() for p in pathlib.Path('.').rglob('*.py[co]')]"
python -Bc "import pathlib; [p.rmdir() for p in pathlib.Path('.').rglob('__pycache__')]"

ostwalprasad

 #Songs
 youtube-dl -f m4a --add-metadata https://www.youtube.com/watch?v=UDVtMYqUAyw
 
 
 #Playlist
 youtube-dl -f m4a --add-metadata --yes-playlist https://www.youtube.com/watch?v=UDVtMYqUAyw
 

ostwalprasad

import numpy as np
import pandas as pd

df = YOUR_DATAFRAME
ones = np.ones([df_shape[0],df_shape[0]])
dev_mat = df - (ones @ df)/df_shape[0]
cov_mat = (dev_mat.T @ dev_mat) / df_shape[0]

ostwalprasad

#Import modules
import plotly
import plotly.graph_objs as go

#Make Plotly figure
fig1 = go.Scatter(x=data['curb-weight'],
                  y=data['price'],
                  mode='markers')

#Make Plot.ly Layout

ostwalprasad

import plotly
import plotly.graph_objs as go

ostwalprasad

import pandas as pd
data = pd.read_csv("cars.csv")

ostwalprasad

import pandas as pd
import plotly
import plotly.graph_objs as go


#Read cars data from csv
data = pd.read_csv("cars.csv")

ostwalprasad

ostwalprasad

import plotly.graph_objs as go
import plotly 
import pandas as pd

data = pd.read_csv("my_data.csv")

fig1 = go.Scatter(x=data['rpm'],
                    y=data['speed'],
                    mode='markers',
                    marker=dict(size=10,