Understanding the importance of Gunicorn and Nginx for Django web development

I’m entirely uninitiated to the world of web development, and only have a tentative grasp on Django and web development through the test server it works through.

From the guide I’m reading, the author turns to using Nginx once he starts working on site deployment, because Django is "not designed for real-life workloads." What does that mean, and why doesn’t it? In terms of justification for using Gunicorn, the author remarks:

Do you know why the Django mascot is a pony? The story is that Django comes with so many things you want: an ORM, all sorts of middleware, the admin site…​ "What else do you want, a pony?" Well, Gunicorn stands for "Green Unicorn", which I guess is what you’d want next if you already had a pony…​

Well and good, but I don’t really know what the two are doing for the server. I know for web developers this is like asking what multiplication is to a maths professor, so please excuse the naivety. In your please keep in mind I have almost no knowledge of web development other than what I’ve thus far learned from this guide, doing my best to understand as much as I can for the previously entirely uninitiated (I’m from a computational programming background).

How do I handle when my players overestimate the importance of an encounter/a location?

TL;DR: How can I (and should I) make the players’ efforts worth their while when they overestimate the importance of an encounter or a location?

I am running a homebrew DnD 5e adventure where the players’ goal is to find the grove where the witch has kidnapped some children. Nearby there is a mansion where the local lord lives. The initial plan was for the players to be able to go to the mansion and find some clues to the witch’s location.

However, as the players arrived, they became certain that the children are actually inside the mansion, and started devising elaborate plans to sneak inside. Having spent almost a session on sneaking through what I thought would be a fifteen minute "walk in through the open gate, ask some questions, continue", I feel like I now have to provide some more reward for the players’ work than "the princess is in another castle".

What are some strategies to tackle players spending too much time on things that were meant to be minor?

I see three options:

  • Making up some reward in terms of resources that can be useful in the climactic finale
  • Giving no reward more than the initially planned small clues, as the players were simply unlucky with the path they chose/failed to solve the puzzle I presented
  • Being clearer that this encounter is not going to yield a satisfying reward (but this time around it’s too late for that)

On a meta level, I am wondering about how to deal with such situations in advance. Is it a good idea to plan each encounter/location with different rewards based on how much time players choose to spend there? Or rather to redirect them away from unimportant locations through narration?

Importance of space constructability in time space relation in complexity

I am reading Arora-Barak’s Complexity book. In Chapter 4, they state and prove the following theorem.

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Why $ S$ should be space constructible? Wouldn’t all three containments of theorem hold, even if $ S$ is not space constructible?

My other question is about Remark 4.3, the book claims that if $ S$ is space constructible then you can make an $ NSPACE(S(n))$ machine halt on every sequence of non-deterministic choices by keeping a counter till $ 2^{O(S(n))}$ . I am not sure how we can keep such a counter in $ S(n)$ space. The space constructability of $ S$ implies that we can compute $ S(n)$ in $ O(S(n))$ space, not $ 2^{O(S(n))}$ in $ O(S(n))$ space.

Question about importance of dynamic programming

I am really struggling with dynamic programming. Everytime i see an explanation for an algorithm it seems very logic but when i try to come up with one myself i do not know where to start.

The steps i follow are usually:

  • try to find trivial cases
  • try to find optimal subproblems
  • try to build the recursion tree and see what overlaps

So my my questions are:

  1. How important is mastering dynamic programming in a computer science career?
  2. Any good resources for learning dynamic programming?(I currently use “Introduction to algorithms 3rd edition”)

Comparison of feature importance values in logistic regression and random forest in scikitlearn [closed]

I am trying to rank the features for binary classification, based on their importance using an ensemble method by combining the feature importances estimated by random forest and logistic regression. I know that logisticregression coefficients and random forest feture_importances are different values and Im looking for a method to make them comparable. Here is what I have in mind:

X=features y=lablels rf=RandomForestClassifier() rf.fit(X,y) RFfitIMP=rf.feature_importances_/rf.feature_importances_.sum() #normalizing feature importances to sum up to 1 lr=LogisticRegression() lr.fit(X,y) lrfitIMP=np.absolute(lr.coef_)/np.absolute(lr.coef_).sum() #Taking absolute values and normalizing coefficient values to sum up to 1 ensembleFitIMP = np.mean([featIMPs for featIMPs in [RFfitIMP,lrfitIMP]], axis=0) 

What I think the code does is to take the relative importance from both models, normalize them and returns the importance of features averaged over two models. I was wondering whether it is a correct approach for this purpose or not?

The Importance Of Good Navigation

Navigation is possibly the most important element in web design. If users can't find their way around the site, they will leave it or will miss some important content.

A menu or list of categories should feature on the home page, with all internal pages interlinked appropriately. Users should see a link back to the home page from any part of the site.

Category names should be familiar to users and they can be listed in alphabetic order or in order of importance.

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