PATHis an environment variable that stores paths where executables are looked for. When you ask your shell to run
ls, the shell looks for the
lsexecutable file across all paths that are presented in PATH.
pip install fast-enum
# /path/to/package/static.py: INITIAL = 0 PROCESSING = 1 PROCESSED = 2 DECLINED = 3 RETURNED = 4 ...
class MyModelStates: INITIAL = 0 PROCESSING = 1 PROCESSED = 2 DECLINED = 3 RETURNED = 4
def sigmoid (): return 1/(1 + np.exp(-x)) def derivatives_sigmoid (): return x * (1-x)
epoch=10000 lr=0.1 inputlayer_neurons = X.shape hiddenlayer_neurons = 3 output_neurons = 1 wh=np.random.uniform(size=(inputlayer_neurons,hiddenlayer_neurons)) bh=np.random.uniform(size=(1,hiddenlayer_neurons)) wout=np.random.uniform(size=(hiddenlayer_neurons,output_neurons)) bout=np.random.uniform(size=(1,output_neurons))
Photo by Dugan Arnett on Boston Globe
Are you still looking for a new flat? Ready to make the last attempt? If so - follow me and I show you how to reach the finish line.
When talking about "bad code" people almost certainly mean "complex code" among other popular problems. The thing about complexity is that it comes out of nowhere. One day you start your fairly simple project, the other day you find it in ruins. And no one knows how and when did it happen.
But, this ultimately happens for a reason! Code complexity enters your codebase in two possible ways: with big chunks and incremental additions. And people are bad at reviewing and finding both of them.
This is an official tutorial published earlier on Ontology Medium blog
Excited to publish it for Habr readers. Feel free to ask any related questions and suggest a better format for tutorial materials
Have you thought about the influence of the nearest metro to the price of your flat?
What about several kindergartens around your apartment? Are you ready to plunge in the world of geo-spatial data?