oneliners | one line of python code to impliment algorithms | Learning library

I have two lists of values, x and y:

I run across this topic once in a while, trying to remember how this was done then find all the incomplete answers again (with config files, oneliners,ignoring that we really want to use a custom CA to create a full certificate chain etc.). And many answers applying SAN for the certificate request, but messing SAN up in the signing command...

What I want to do?

1. Create a custom CA
2. Create a certificate request.
3. Sign the certificate request.
4. Create a chain file
5. Additional steps in Firefox/Chrome (yes, Chrome needs SAN)

(Yes, please don't do everything in one command, I want my CA reside on another machine) (Yes, this might again be incomplete for somebody else. But this is exactly what I need 1-2 times a year, when a simple self-signed cert in my DEV environment, I simply trust by configuration, is not enough) (Yes, you might want to implement additional validation steps, if you are not the one requesting and signing certificates as one person)

Regards Patrick

I would like to try all the nice oneliners in the documentation of RSpec in the IRB console.

How to execute them in the IRB console?

Please a solution not based in Rails, just plain Ruby.

I am trying print the contents of a column in a file between two regular expressions which are in different columns though. A sample file looks like this

I am migrating an old toolchain to a new system and now I get plenty of notifications given is experimental or when is experimental.

I got a task to rewrite C# code in NodeJs. Unfortunately there are some nasty oneliners in that function which I do not fully understand.

Code

I have string a = 'thirteen thousand and forty six'. The variable a would always hold some amount in words. I want to capitalize first characters of each word in the string, except the specific word 'and'. Here is my code which is working fully :

Is it possible to define a graph in native TensorFlow and then convert this graph to a Keras model?

My intention is simply combining (for me) the best of the two worlds.

I really like the Keras model API for prototyping and new experiments, i.e. using the awesome multi_gpu_model(model, gpus=4) for training with multiple GPUs, saving/loading weights or whole models with oneliners, all the convenience functions like .fit(), .predict(), and others.

However, I prefer to define my model in native TensorFlow. Context managers in TF are awesome and, in my opinion, it is much easier to implement stuff like GANs with them:

I'm using typescript and working on code that borrows heavily from redux way of work, (action, state) => state.

Trying really hard to use typescript in the strictest way possible. My issue is best explained with the example.

First, I have an enum describing the types of actions: