*me searching for jobs*
*types in 'junior backend developer'*

First result:
Junior Frontend Developer.

*big facepalm*

Yeah I understand that it might just be some kinda algorithm that filters on words or whatever but the irony was real!

my Input: want from A -> B
The algorithm of my Public transport App result:
Walk from A to B, then take the tram from B to A. From there you walk to B.

Ooooookay.

do you have a GREAT eye for design?!

can you write a bubble sort algorithm in binary?!

do you know native, desktop, embedded, AND web programming languages?!

do you know you can go fuck yourselves?!

good luck unicorn searching 🤡 companies. there is no human that can do all of those on a level that you want. but, go ahead and set yourself up for failure. i'll remain firmly grounded on planet earth 🌎

They really need to improve the algorithm that is searching for things in Windows Explorer. Literally:

Windows: *Searching for files in Downloads*

Me: I just typed .mp4, what is taking so long!?

Windows: *No results.*

Algorithms real life implementation

On the way to your college canteen? -> A* search

Waiting in line in the canteen? -> Queue

Notice that girl standing in front? -> Linear search

Searching for her dad in the phone book? -> Binary search

Stupid! Google it! -> Trie

Search for her on Facebook! -> Depth-first search

Found her! Friend request? Accepted! Send a Hi! -> Graph

Writing her a secret love letter? -> Caesar cipher

Uploading your first date pic on fb? -> Image compression algorithms

Looking through her Whatsapp messages? -> KMP algorithm

She found out and had your first fight? -> Start over with some gifts! Backtracking

Got her list of items to buy? -> Array

Too many items! Low on cash, maybe? -> Priority queue

Making her play treasure hunt for her gifts? -> Linked list

Wait! Go back! Is that a ring? -> Stack

Girl’s family not agreeing to your proposal? -> Divide and conquer

Got married? Congrats! Going for your honeymoon? -> Travelling salesman problem

Your mom packing luggage for you? -> 0/1 Knapsack problem

She packed your favorite pickles? -> Hash table

Driving to the airport? -> Breadth-first search

So recently I started to observe a little upgrade in the Google's searching algorithm. The next suggestion in Google's search box is depending more on my immediate preceding search. It's so good that its starting to creep the hell out of me.

When I wrote my first algorithm that learns...

So in order to on board our customers onto our software we have to link the product on their data base to the products on ours. This seems easy enough but when you actually start looking at their data you find it's a fuck up of duplication's, bad naming conventions and only 10% or so have distinct identifiers like a suppler code,model no or barcode. After a week or 2 they find they can't do it and ask for our help and we take over. On average it took 2 of our staff 1-2 weeks to complete the task manually searching one record of theirs against our db at a time. This was a big problem since we only had enough resources to on board 2-4 customers a month meaning slow growth.

I realized when looking at different customers databases that although the data was badly captured - it was consistently badly captured similar to how crap file names will usually contain the letters 'asd' because its typed with the left hand.

I then wrote an algorithm that fuzzy matched against our data and the past matches of other customers data creating a ranking algorithm similar to google page search. After auto matching the majority of results the top 10 ranked search results for each product on their db is shown to a human 1 at a time and they either click the the correct result or select "no match" and repeat until it is done at which point the algo will include the captured data in ranking future results.

It now takes a single staff member 1-2 hours to fully on board a customer with 10-15k products and will continue to get faster and adapt to changes in language and naming conventions. Making it learn wasn't really my intention at the time and more a side effect of what I was trying to achieve. Completely blew my mind.

Math question time!

Okay so I had this idea and I'm looking for anyone who has a better grasp of math than me.

What if instead of searching for prime factors we searched for a number above p?
One with a certain special property. BEAR WITH ME. I know I make these posts a lot and I'm a bit of a shitposter, but I'm being genuine here.

Take this cherry picked number, 697 for example.

It's factors are 17, and 41. It's trivial but just for demonstration.

If we represented it's factors as a bit string, where each bit represents the index that factor occurs at in a list of primes, it looks like this

1000001000000

When converted back to an integer that number becomes 4160, which we will call f.

And if we do 4160/(2**n) until the result returns
a fractional component, then N in this case will be 7.

And 7 is the index of our lowest factor 17 (lets call it A, and our highest factor we'll call B) in our primes list.

So the problem is changed from finding a factorization of p, to finding an algorithm that allows you to convert p into f. Once you have f it's a matter of converting it to binary, looking up the indexes of all bits set to 1, and finding the values of those indexes in the list of primes.

I'm working on doing that and if anyone has any insights I'm all ears.

I was thinking to read some books on algorithm and mathematics required in programming, especially for CP. After some searching I got across some books that are considered great in the field. Among the books, 'Introduction to Programming by CLRS', 'Algorithms Design Manual by Steven Skiena', 'Concrete Mathematics by Donald E. Knuth' and 'The Art of Programming by Donald E. Knuth', in which order should I read them? I've already started reading CLRS as it would be required in my college course too.

Hey, can anyone give me an idea on how syncing works?
(Been searching for past few hours, didn't went past some weird advance server admins stuff or cloud backup ads.)

All i wish to do is to make a service for my app that will run every night and upload/delete /modify (basically , sync) my app's local database to the server.

Just gimme a rough idea on the algorithm to use, i have done till running the service every night( but what exactly it should do, i have no idea)

What is the best searching algorithm for big data technologies like Machine learning and Neural networks?

ANY GUESS!!!
Comment it.