You need to create a notebooks.csv listing all the Colaboratory URLs. Then use colabctl to run each notebook (In order, synchronously mentioned in the CSV) and then pauses for a period of n seconds of time before running them again. You can then run python colabctl.py <end-string> <sleep-seconds>, There’s a gCookies.pkl file in the repo. … Read more
Update: Unfortunately, From Jan 20, 2022, The small solution based on Blue’s solution and the similar solutions isn’t working anymore (Reference). You can use my old solution again… Update2: From Mars 30, 2022, my old solution isn’t working too! I find another solution (Phillip’s solution) that is working now. Phillip’s Solution: This solution is based … Read more
I have found the ‘Restart runtime…’ not to work, and changing permission too much of a hassle. Luckily, the drive module is equipped with just the function you need: from google.colab import drive drive.flush_and_unmount()
I don’t know if that’s possible but you can use the PyCharm IDE supports this type of interface and features. Plus, it provides many more features. Please check out https://www.jetbrains.com/help/pycharm/using-ipython-notebook-with-product.html.
As @Feng has already noted, reading files from drive is very slow. This tutorial suggests using some sort of a memory mapped file like hdf5 or lmdb in order to overcome this issue. This way the I\O Operations are much faster (for a complete explanation on the speed gain of hdf5 format see this).
Control+M M will convert a code cell to a text cell. Control+M Y will convert a text cell to a code cell. The full list of keyboard shortcuts is available under ‘Keyboard shortcuts’ in the Tools menu.
I think that in section “Aide” the last option should be “Voir en anglais” EDIT: Aide -> Afficher en anglais
Answer from @Korakot works for a single file and in case, to delete entire folder or subfolders or files use !rm -rf <folder_name>
I ran into the same issue. After changing: from tensorflow import keras to: import keras life is once again worth living.
Try $. It will substitute the python variable. !rm -r $name You may need to use $name\.txt or {name}.txt in some cases.