How can I fix 'Installing Poppler for PDF text extraction' in Python?
Check this for procedure Convert PDF pages to with python s The poppler utilities must be installed in your operating system in order to use the Python module pdfto.
How can I install a pdftotext module in Python?
Debian Ubuntu and friends sudo apt-get install build-essential libpoppler-cpp-dev pkg-config python-dev code Fedora Red Hat and friends sudo yum install gcc-c++ pkgconfig poppler-cpp-devel python-devel redhat-rpm-config code macOS brew install pkg-config poppler code Conda users may also need libgcc code conda install -c anaconda libgcc code Windows Currently tested only when using conda Install the Microsoft Visual C++ Build Tools Install poppler through conda conda install -c conda-forge poppler code Install pip install pdfto code
What are some real "free" software gems? I don't mean trial ware, but actual free software that you've found super useful that might not be well known.
Just to name a few I currently use daily or have used extensively in the past probably not well known outside the Linux scientific amateur videography and software developmentmunities. GNU operating system and programming environment FreeBSD operating system LibreOffice office productivity Write Word processor Calc Spreadsheet Impress. Presentation The GIMP editor and format converter Xsane image scanning tool Thunderbird IMAP POP3 email client Calibre e-book reader and librarian KmyMoney personal finance manager RCS simple local revision control system GIt network revision control system
What algorithmic libraries are there in C++ aside from Boost?
What's the best way of copying data from a PDF into a spreadsheet?
If the PDF contains formatted data that can be characterized in rows and columns the best way would be to convert it to with a tool like the Poppler utilities pdftomand then parse the data into cells or rows and write it out as a spreadsheet using the Excel spreadsheet writer module for the programming language you work in. This not trivial but it is effective for processing PDF forms where the data layout in the conversion is predictable and consistent. I wrote one many years ago in Perl mapping the flow onto a Finite State Machine parser graph. To add data analyses I Excel formulae in the output which simplified my program and allowed the user to modify the parameters in the spreadsheet instead of having static data. Python also has an Excel spreadsheet module and Im sure some other languages do too. Writing directly in .xls or .xlsx format is the best because you can formulae as well as data and the output will load directly into the spreadsheet. The second best and simplest way to do this would be to skip importing and learning to program with the spreadsheet module and just write out the parsed data as a. CSV Character Separated Value file. CSV files can be easily imported into any spreadsheet but contain only data in row layout. Ive written programs that do that too for use with end user programs other than Excel. Once 3 years ago I wrote an inference engine in LISP that wrote out a file formatted for input into a dBASE database.