django rest framework – How to Lazy load datatable with client sided processing?

I have a table with 3500 entries and foreign keys.

I’m using client-sided processing datatables with: django-rest-framework and Ajax.

It takes up to 10 seconds to load.

Is there a way to show the first 10 entries (first page results) – for the user not to think that my website is broken, because it’s taking too long – while the rest of the entries loads in the background?

Also looking for optimizations for the load speed.
Thank you for your time.

concurrency – create/design Real time processing pipeline using Java and Kafka, with already created batch ETL in IICS

I need to develop near real time processing pipelines and have been told that Java and Kafka need to be used.
There are already batch pipelines created in Informatica cloud and warehouse is Snowflake.

There are following questions currently which I can not figure out:

  • which real time processing engines is better or can it be done without those ?
  • There is complication of handling concurrent runs when there is a scenario both batch and real time processing may be running parallelly. Any way to efficiently resolve it?
  • Some warehouse tables contains ID columns which is populated currently using IICS sequence generator. What can be the efficient solution to handle it?

processing – Why did my developing tank almost burst open when using citric acid as a stop bath after developing with caffenol delta recipe?

I developed with Caffenol for the first time tonight, using the Delta Standard recipe I found online. Developing went fine. I had a bit of trouble loading the film, but I got it. The problem came when I had to use the stop bath. I pour the Caffenol down the drain, then poured in the tank what I normally use as a stop bath, which is citric acid (I’ve always developed with D-76 before, and had no problems). I started to agitate and noticed the tank got stuffed, as if it were filling up with air. I agitated once more and it almost exploded. Luckily, I was agitating in the bathroom and didn’t mess anything up with this solution. But I got light leaks on my negative, and I’m thinking it had something to do with this. So I was wondering what might have caused that?

post processing – What is the best way to auto crop bulk images?

Scanning books or their dust jackets? I imagine the scanner lid won’t close properly with a book under it, in most types of scanners. One option: Photograph the books with a DSLR or other digital camera, and use a program to auto-crop them. This way you could even crop two or more books at a time, speeding up things.

Programs for image cropping and document cropping are different. The former detect images’ edges and discard the scan’s background; the latter detect page edges and crop along those. OP wants to crop scans of book covers, which are akin to images – so an image scanner is needed.

Also, if you have multiple scans, each containing one or more images, it’d be nicer to crop them all with one click. In Photoshop, you could do this by doing File > Automate > Crop & straighten on the whole batch, with a script like this. If you’re not au fait with scripts, Snip app for Mac does the same thing (There’s another similarly named app, SnipTag, for automatically batch-cropping scans and editing image metadata, but that’s outwith what OP asked.)

NetPayDirect – Credit Card Processing For File Hosting | Proxies123.com

Net Pay Direct Credit Card Processing
Visa | Mastercard | American Express | Discover

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Running rebills is fast and simple with the API details we will provide to you and services like Spreedly can also make this process easy for you.

If you are interested get in touch with me on Wjunction and send me a Private Message which includes your Telegram ID or your WhatsApp if you are comfortable communicating over WhatsApp. Also please include any information such as how. you store your rebills currently(Spreedly etc) and how you’re processing your payments currently. If you have a target percentage you are looking to have our company beat, please include this also in your private message so we can let you know if this is possible. Any further details regarding how much you process daily as well. as monthly via Rebills & New Signups would be very helpful.

Thank you for reading this post and we look forward to hearing from you.

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Net Pay Direct – Credit Card Processing For File Hosts With Quick Payout! | Proxies123.com

Net Pay Direct Credit Card Processing
Visa | Mastercard | American Express | Discover

Net Pay Direct is officially accepting new clients to come on board for Credit Card Processing support.

We provide credit card processing which has a high approval rate and very fast payouts.

Our company allows new clients/websites to come on board as slots become available for new file hosts/video hosts to join.

We know that all file hosts & video hosts are struggling to process payments and receive reliable payouts without excuses, delays, and money going missing. We are here to assist all of the companies that need a solution and don’t know where to turn.

The integration of our processing works flawlessly with Spreedly and we can work with you to support the integration process.

At this time we are welcoming new clients that have rebills they would like to run every month through us, as well as new sign ups.

Running rebills is fast and simple with the API details we will provide to you and services like Spreedly can also make this process easy for you.

If you are interested get in touch with me on Wjunction and send me a Private Message which includes your Telegram ID or your WhatsApp if you are comfortable communicating over WhatsApp. Also please include any information such as how. you store your rebills currently(Spreedly etc) and how you’re processing your payments currently. If you have a target percentage you are looking to have our company beat, please include this also in your private message so we can let you know if this is possible. Any further details regarding how much you process daily as well. as monthly via Rebills & New Signups would be very helpful.

Thank you for reading this post and we look forward to hearing from you.

Telegram ID : https://t.me/NetPayDirect

Credit Card Processing For File Hosting Services | Proxies123.com

Hi all,

Our company Collective 7 is offering credit card processing services for file hosting websites. We are able to help you get processing in North America for Visa, Mastercard, American Express, and Discover cards. You will have a very high approval rate because the processing is being done in the US and we will agree on a reasonable percentage based on your daily processing commitment.

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Understand How Payment Processing Works – Payment processors

Payment processing is the way of accepting payments online from anywhere. It expands the business and takes it over the internet. Payment processing occupies quite a large market in the world. Though many companies provide payment gateways, finding the right company for your business is important.

 

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image processing – How to process DSLR RAW files for display on modern HDR-capable TVs & computer monitors? (actual 10bit/ch or 12bit/ch dynamic range)

10bit/ch display panels are becoming common. The latest generation UHD TVs can display 10bit/ch, some consumer TVs have as high as 1000nit output. Very recently HDR computer monitors have (finally) come on the market. And both LG and Sony now make smart phones that claim to have HDR-capable display screens.

How should we process our still photo RAW files to display (with maximum dynamic range fidelity) on the HDR capable displays? (Actual 10bit/ch, or greater DR)

What software should we be using to process the RAW files?

What output format should we be using?

One would think that JPEG2000 is a logical choice, given it is used in Digital Cinema to support 12bit/ch. But there is little support for it in the still-camera community. (E.g. do any still cameras generate JPEG2000 internally?)

The disparity is likely to get worse, as we’re probably going to see home theater projectors with 12bit/ch and high-NIT capability in the future. We already have them in commercial theaters. The Dolby Vision encoding standard for home video supports 12 bit/ch. (maybe HDR10+ does too) Consumer use of 12bit seems only a matter of time.

How do we leverage the fancy sensors in our DSLR cameras (that often cost more than our expensive HDR-capable UHD TV set) to actually display 10bit/ch wide dynamic range still photos to those TVs, computer monitors and smart phones? What is the RAW file processing software chain? What is the output file standard we should use?

python – parallel processing of files from a directory

This code does parallel processing of files read from a directory. It divides the directory into ‘core’ number of file chunks and process those chunks in parallel. ‘cores’ is the number of cores in the linux system.

from multiprocessing import Process
import os
from time import sleep
import multiprocessing

pros = ()

def getFiles(directory):
    '''returns the files from a directory'''
    for dirpath,_,filenames in os.walk(directory):
        for f in filenames:
            yield os.path.abspath(os.path.join(dirpath, f))

def countFiles(directory):
    return len((name for name in os.listdir(directory) if os.path.isfile(os.path.join(directory, name))))

def foo(fileList):
    print(fileList)

def isCommon(a, b):
    aSet = set(a)
    bSet = set(b)
    if len(aSet.intersection(bSet)) > 0:
        return(True)
    return(False)

if __name__ == "__main__":
  '''get count of files in directory and split it in based on number of cores'''
  directory = ""
  noCores = multiprocessing.cpu_count()
  totalFilesCount = countFiles(directory)
  chunkSize = totalFilesCount/noCores
  totalChunks = noCores
  print("total files", totalFilesCount, "total chunks", totalChunks, "chunk size", chunkSize)
  filesProcessed = 0
  currentChunk = 0
  fileObj = getFiles(directory)

  listOFFiles = ()
  while filesProcessed < totalFilesCount:
      filesList = ()

      # if it is last chunk and totalFilesCount can't be divided equally then put leftover files in last core to get processed
      if currentChunk == totalChunks - 1 and totalFilesCount%noCores:
          chunkSize += totalFilesCount%noCores

      reached = 0
      for f in fileObj:
          filesList.append(f)
          if chunkSize == reached:
              break
          reached += 1

      listOFFiles.append(filesList)
      p = Process(target=foo, args=(filesList,))
      pros.append(p)
      p.start()

      currentChunk += 1
      filesProcessed += chunkSize

  for t in pros:
     t.join()

  for a, b in zip(listOFFiles, listOFFiles(1:)):
     assert isCommon(a, b) == False