Yes that INSTALLED_APPS = [ doesnt appears on that both tuts. Im in both Win or Linux. I dont use Virtual Environment, n btw already solved guys ty on thi$
https://scotch.io/tutorials/build-your-f...ing-django (y) Now i'm @
https://www.codepolitan.com/tutorial/mem...ango-admin or :
import matplotlib.pyplot as plt
import numpy as np
from scipy.integrate import quad
h=6.626e-34
c= 3.0e+8
k= 1.38e-23
shift = 500 # defining the shift
#wav is the wavelength
def planck(wav, T):
a= 2.0*h*c**2
b= (h*c)/(wav*k*T)
intensity = a/( (wav**5) * (np.exp(b)- 1.0) )
return intensity
wavelengths= np.arange(1e-9, 3e-6, 1e-9)
intensity = planck( wavelengths, 6000.)
# creating a shifted intensity by padding 0 in the begining
# and removing extra values at the end
shifted_intensity = np.concatenate((np.zeros(shift),intensity))[:-shift]
sum_intensity = intensity + shifted_intensity
"""i, err= quad(planck,0,10**4,6000,6000)
print(i)"""
plt.plot(wavelengths*1e9, intensity, 'm-', label= '6000 K')
plt.plot(wavelengths*1e9, shifted_intensity, 'b-', label='6000 K shifted')
plt.plot(wavelengths*1e9, sum_intensity, 'r--',label= 'Summed intensity')
plt.xlabel('Wavelength\n(nm)')
plt.ylabel('Intensity\n(W Sr^-1 m^-3)')
plt.title('Black Body Radiation')
plt.legend()
plt.show()
N can i ask if can use both scikitlearn + django. Already done it with flask -->
https://github.com/nengkya/ML_Predict_Name