Today is a very big day, as walkwithfastai is now officially released for the public to both read and contribute!
What is Walk with fastai?
As some may know, I ran a “course” of sorts earlier this year called Walk with fastai2. It was aimed at showing various different and non-standard examples of using the fastai library. My long-term goal for the project was to turn it into a book, however after the release of fastbook I suddenly realized that instead, a living breaking community-fed resource was the way to go, with no-holds-barred!
Current Chapters:
Currently there are four chapters up, covering basic introductions to the vision and tabular modules, walking through what an integration with the timm library would look like, as well as walking you through the basic pets example
A Living Resource
On top of it being a central knowledge bank, my other goal for the project is to have it as a standalone library.
What does this mean?
If you’ve written a cool function or integration, we can export that to a module as WWF was written in nbdev. For an example here is the timm integration:
How do I contribute?
There is a contribution guide here in regards to the general format, as well as a basic outline of topics I’ve planned and am currently working on here
I’ll do my best to include topics that everyone wants to do, however if it is a bit too generic or close to the way the course or documentation has it, I may ask for some rewrites in order to make it something truly special 
That being said reposts are encouraged. If you write a chapter, please put it on your own personal blog too! My own blog acts as a living resume for employers to look at so I believe that maintaining this status-quo is extremely important
Closing Remarks
If you want to receive email updates with new chapters posted I have a mailchimp feed you can sign up for here
I really do hope you all will utilize this resource and potentially contribute, my heart and soul has gone into making Walk with fastai something I can truly be proud of, and I am ecstatic for what happens from here
I’d also like to thank all of you who have helped me get to this point, especially @jeremy, @sgugger, @morgan, @LessW2020, @ilovescience, @init_27 and so many others for keeping me motivated and pushing me throughout this journey. Thank you!
