Horffupolde

At this point you have to assume that nothing in our body is a coincidence. Also there’s no free lunch.

In a home setting not much but it’s electrically conducting so one must be careful if that’d be an issue.

You are advised to chill.

>English: "It is necessary and sufficient for the ground to be wet that it is raining."

That’s not true.

In theory it doesn’t need to be grounded. In practice it can be done.

1. *Fibonacci Sequence*: The classic example where the naive recursive solution has exponential complexity. By storing previously computed values (memoization), the complexity can be reduced to linear.

2. *Coin Change Problem*: Given different denominations of coins and a total amount, finding the number of ways to make the change. The naive approach is exponential, but dynamic programming reduces it to polynomial complexity.

3. *Knapsack Problem*: Particularly the 0/1 Knapsack problem, where items with given weights and values must be placed in a knapsack of a fixed capacity to maximize total value. The naive exponential solution can be optimized using dynamic programming.

4. *Matrix Chain Multiplication*: Determining the most efficient way to multiply a chain of matrices. The problem can be solved in exponential time using a naive approach but becomes much more efficient with dynamic programming.

5. *Longest Common Subsequence*: Finding the longest subsequence common to two sequences. A classic dynamic programming problem that can be solved in polynomial time.

6. *Longest Increasing Subsequence*: Finding the length of the longest subsequence of a given sequence such that all elements of the subsequence are sorted in increasing order.

7. *Shortest Path Problems*: Like the Floyd-Warshall algorithm for finding the shortest paths in a weighted graph with positive or negative edge weights.

8. *Edit Distance (Levenshtein Distance)*: Finding the minimum number of edits (insertions, deletions, substitutions) needed to change one word into another.

Rabbi Tarfon used to say: It is not your duty to finish the work, but neither are you at liberty to neglect it.

What alternatives are there to Python for general, versatile backend scripting?

Dumbphone + automatic watch.

How do you define stability in that context?

Riemannian calculus.

That’s a good question. Addition and subtraction does not make sense because you can’t add non-homogeneous dimensions. And if they were, there’d be a simpler expression. As for a function more complex than multiplication, you can consider the general formula such as an exponential decay and transform it using logarithms into a multiplicative form.

You can open a trust to manage your domain and email service in perpetuity.

You are missing the best solution which is your own domain and hosted email like Gmail. If you get locked out like you said, “just” change providers and you lose at most a couple of hours of emails.

Grownups don’t use UPDATE.

Being able to serve God.

Male aggression brings retaliation by her relatives and society in general. Extreme aggression is sub-optimal. We are social beings.

Completely reasonable when understood from an evolutionary point of view.

You use shard-compatible ids like snowflake.

If 200 people died after a db instance crashed, software would be equal in that regard.

A then B, ~A then ~B?

With good hygiene and dental checkups twice a year, you can reasonably expect to avoid cavities altogether.

Not every opinion is a moral one.

The problem is not with the call but with who is calling you. If you can authenticate the caller, all’s fine.

2) you can issue some kind of physical money then periodically settle crypto. It’s not all or nothing.

For public pools chlorine is the only effective solution.

Reënters

I agree. For reference, by irrational I mean that it goes against a utilitarian calculation as proposed by the linked article. I don’t mean that it’s “dumb” or lacking any reasoning.

The diamond ring has no utility, so there’s no calculation to make. It’s an irrational proof of commitment.

No, it’s happy life, happy wife. Think about it.