pdfs | Technically-oriented PDF Collection ( Papers Specs

So I have an android app which opens and displays PDF's, I have the user select pdfs like this

For a pdf mining task in R, I need your help.

I wish to mine 1061 multi-page pdf files with the file names pdf_filenames, for which I would like to extract the content of the first two pages of each pdf file.

So far, I have managed to get the content of all pdf files using the map function from the purrr library and pdf_text function from pdftools library.

I have been trying to convert some PDFs into .txt, but most sample codes I found online have the same issue: They only convert one page at a time. I am kinda new to python, and I am not finding how to write a substitute for the .GetPage() method to convert the entire document at once. All help is welcomed.

Fellows,

I'm doing some webscraping and need to download multiple PDFs from the www1.hkexnews.hk website.

However, I encountered a problem while trying to make my Selenium chromedriver tick the box that appears every time one wants to download a PDF on the said website. The code executes, but the box still appears unclicked.

Please refer to my source code below - would appreciate any advice!

I frequently receive PDFs that contain (when converted with pdftotext) whitespaces between the letters of some arbitrary words:

This i s a n example t e x t that c o n t a i n s strange spaces.

For further automated processing (looking for specific words) I would like to remove all whitespace between "standalone" letters (single-letter words), so the result would look like this:

This isan example text that contains strange spaces.

I tried to achieve this with a simple perl regex:

s/ (\w) (\w) / $1$2 /g

Which of course does not work, as after the first and second standalone letters have been moved together, the second one no longer is a standalone, so the space to the third will not match:

This is a n example te x t that co n ta i ns strange spaces.

So I tried lockahead assertions, but failed to achieve anything (also because I did not find any example that uses them in a substitution).

As usual with PRE, my feeling is, that there must be a very simple and elegant solution for this...

I'm trying to automate the Azure Form Recognizer process using Databricks. I would put my pdf or jpg files in the blob and run a code in Databricks that will send the files to Form Recognizer, perform the data recognition and put the results in a new csv file in the blob.

Here is the code:

I'm using this Notebook, where section Apply DocumentClassifier is altered as below.

Jupyter Labs, kernel: conda_mxnet_latest_p37.

I understand the error means I'm passing str instead of an int. However, this should not be a problem, as it works with other .pdf/ .txt files from the original Notebook.

Code Cell:

I'm looking for a workaround solution for a known issue where \cellcolor from the colortbl package does not work properly with \makecell. As mentioned, there probably already exists a workaround in Latex, but I'm hoping for a solution in terms of the R package kableExtra when producing pdfs using rmarkdown. Here's a screenshot; as can be seen, some cells are not filled entirely.

Here's a minimally reproducible example in rmarkdown:

Hope you are doing well. I'm trying to send pdfs file from Nodejs to Flask using Axios. I read files from a directory (in the form of buffer array) and add them into formData (an npm package) and send an Axios request.