# Download the Google Street View House (GSVH) numbers () pdl. cifar_10( "my-data-dir/", True, True, True) cifar_10(data_dir = "my-data-dir/", keep_download = True, overwrite_download = True, verbose = True) cifar_10(data_dir = "my-data-dir/", keep_download = True, verbose = True) cifar_10(data_dir = "my-data-dir/", overwrite_download = True, verbose = True) cifar_10(data_dir = "my-data-dir/", verbose = True) # Example of more control, which can also be applied to the datasets below: pdl.
Python download and unzip file how to#
In a previous post, I detailed how to run a line of Bash code in your Notebook: Running a Bash script in a Jupyter Notebook It took some searching to see it was even possible, but it seems to be working quite nicely. There is something about the language that does not resonate with me. I have been writing Bash scripts since as long as I can remember, but still, I do not find myself to be proficient. Initially, I created a Bash script, but decided to create a Python version as well, both are detailed below.
Python download and unzip file manual#
After some manual repetitions, I started dabbling with a small script to make that part easier, so I could just focus on running experiments in the future. zip file, which you still need to download and extract by hand. While still following the fast.ai course - sometimes life gets in the way of your plans - I noticed datasets are either included or there is a link to a. It seems I am spending more and more of my days in Jupyter Notebooks lately.