Just got significantly faster, thanks to parallel processing ⚡
Please support here: https://www.learncpp.com/about/
docker pull amalrajan/learncpp-download:latest
docker run -d --name=learncpp-download -v <host-downloads-path>:/app/downloads --shm-size=1.14gb amalrajan/learncpp-download
Replace host-downloads-path with a local path on your system where you'd want the files to get downloaded
git clone https://github.com/amalrajan/learncpp-download.git
cd learncpp-download
pip install -r requirements.txt
If you are a Windows user, head over to https://wkhtmltopdf.org/downloads.html and configure the package.
On Linux/MacOS system, you should install this package using your package manager: wkhtmltopdf
python main.py
Thanks to https://github.com/ray-project/ray, the processing time is now reduced to ~5 seconds from the previous 300 seconds, on a decent system. Watch out, this uses a lot more CPU and memory.
In case the script becomes unresponsive on your system, try an older version which downloads tutorials in a sequential fashion. Example, this tree: https://github.com/amalrajan/learncpp-download/tree/517e8c0818de79d3c0420c2e02f4e11c01c0b878.
Feel free to open a new issue here: https://github.com/amalrajan/learncpp-download/issues. Please attach the console logs along.
The MIT License