fast | Minimal zero-dependency utility for testing your internet download speed from terminal | Command Line Interface library

Is there a simple adhoc way to execute a ILIKE query on all text columns of a table?

I know that there is a cell which contains "foobar". But the table has a lot of columns and only 50k rows, so searching all columns and rows should be fast.

I have a concave hull (not convex) that I have the points for eg: A,B,C,D,E. I've gotten the pairs of points that make up the outer edges. [A,B],[A,E],[C,D],[B,C],[E,D]. (This is a very simplified version)

I want to get the connected points in order (CW or CCW doesn't matter) so I can use them as a contour.

But the pairs are not ordered, you can see A goes to B, then A goes to E, etc. The only solution I had was searching for each point and its next pair sequentially in a loop

Is there a way to solve this using numpy only in a vectorized manner so that its fast for a large array of edges? I know shapely exists but I have trouble installing it and I'd prefer no external dependancies

this is my code:

hopefull someone can shed some light on this topic and here are some of my questions:

• How do big ecommerce websites manage their images for their websites?
• Is there any Best Practices should be consider when deciding where to keep websites images?
• I have heard to keep the images in multiple folder structure on the same server where the website is hosted so websites can render them easily and fast since they are all on same server - Is this the idea solution?
• How do professionals or big ecommerce handle images storage and maintain website images reliability and stability?
• Is Azure or AWS etc best place to store images for websites rendering?

Thanks in advance!

I have the following code in Python Jupyter:

I don't really know where the error is, for me, it's still a mystery. But I'm using Laravel 8 to produce a project, it was working perfectly and randomly started to return this error and all projects started to return this error too. I believe it's something with Redis, as I'm using it to store the system cache. When I go to access my endpoint in postman it returns the following error:

I did some research and found this: Setting a fixed FPS in Pygame, Python 3 and this: pygame clock.tick() vs framerate in game main loop. It is similar to what I am asking.

So the clock.tick(FPS) caps the program to run at that FPS. The reason you do this is so you can control the FPS of the program and it makes it easier for time stuff like waits.

But how can I unlimited FPS and still control my FPS for time stuff like waits? From my understanding, this is not possible, due to the fact that clock.tick(FPS) caps the FPS and while not adding it in means unlimited FPS but you not being able to control the FPS.

So it seems to be a question of weather to cap you FPS for control or have your program run as fast as possible, but without control.

In conclusion, what I am asking is four questions;

1. Pros and cons of capping your FPS
2. Pros and cons of not capping your FPS and going on with the natural FPS of your program
3. Is it possible to have unlimited FPS and still control my FPS for time stuff like waits?
4. If so, how?

I need to merge these folders that have a TON of files in each directory. I would use folder.copy but that takes forever.

I have been using xcopy process to handle this for the most part but I have been getting errors from xcopy saying that there are duplicates when there are none. So I am trying to find a solid work around that is as fast or even faster then xcopy.

What I have tried before is:

When reading, Spark have a mapping 1:1 to kafka partitions, so, with more partitions we can leverage more parellelism to our job.

But does it apply when Spark is writing in kafka ? Writing the same dataset in one topic with 4 partitions is more fast than writing in a topic with 1 partition ?

My GUI is able to play videos automatically when selected in the QListWidget. However, instead of normal speed, the videos play very fast. I use 720p Mp4 videos as examples and are placed in a certain folder. I tried using cv2.CAP_PROP_FPS and cv2.CAP_PROP_BUFFERSIZE, but they are both not working. I am using pyqtSignal in the QThread and the convert_cv_qt function which I saw in other guides. How do I play the videos in normal speed / frame rate?