I could not build with 'DockerFile', I had to rename it to 'dockerfile'. Also encountered a bug which would not let me run the image. I had to restart docker desktop. Great tutorial ! Learned a lot
4:07 "First thing to do ..." with any new (to me) piece of code is to make sure it runs. The scrape from Beautiful Soup is returning "403 Forbidden'" so the lists ('years', 'actors_list', etc.) are empty. URL returns expected screen from IMDB so that's correct ... anyone with a fix for the scrape?
Hi - Thanks for the tutorial! For the 1st example : I wonder if it would be better practice to first install with pip the packages and than copy our code. reason : 'docker build' creates layers in the image file (roughly for each line in the Dockerfile) and caches the content of the layers (to make subsequent builds faster), however when our code changes then the next build can't use the relevant cached layer (because the source --our code-- for that layer changed) AND hence neither can use all the cached layers for lines that are after in the Dockerfile. So, the resulting image is (practically, but not entirely) the same in both ways, but the build processes are faster when we consider what changes more frequently and put that as low in the Dockerfile as it makes sense.
Hello. Why do you need __name__ == '__main__' in this code? I now this will execute only if you call this code from the main program but not if it's imported. But I don't know why we need to make this distinction here.
Never used docker before. I got a python azure function which works ok in local debug in vs code. My azure yaml pipeline is failing at the build stage due to some dependency issue. Can I clone my local virtual environment, put it into docker, and deploy my app to azure? Will this bypass the build stage problem?
Isn't using pip --upgrade a bad practice? Ideally you would want to install the exact version of the packages every time to ensure reproducibility and prevent breaking changes to happen due to new versions.
@patloeber I followed some of your videos. You are so cute. Just the moment that docker ran correctly. It seemed that you didn't expect that, and you became really happy. Also, I should mention that I'm not Gay :))
unable to run pip install commands from docker file #5 14.57 WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError(': Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/beautifulsoup4/ #5 15.90 Collecting beautifulsoup4
Had a great time speaking at this Docker event! Thanks for having me!
THANKS, FOR THIS GREAT TUTORIAL. I COULD NOT FIND A LINK BELOW AS YOU MENTIONED IN THE VIDEO.
No link of github
Super professional as all your content. Thank you!
Finally someone explains it clearly and step-by-step. Thank you
Thank you for your comment, i like your name, as well
As a beginner in Docker, this tutorial is very clear and concise. It successfully helped me deploy my Python project into Docker. Thank you very much!
I could not build with 'DockerFile', I had to rename it to 'dockerfile'.
Also encountered a bug which would not let me run the image. I had to restart docker desktop.
Great tutorial ! Learned a lot
Great thanks to you Patrick.I deployed my first python app successfully.
Thanks a lot for the explanation. It helped me make a POC using python script executing in an environment inside docker.
Very clear explanation, it helps to reduce the fear of using Docker!
the link IS NOT in the description below
Thank you very much, Patrick!!!
unable to find the github link in the description
4:07 "First thing to do ..." with any new (to me) piece of code is to make sure it runs. The scrape from Beautiful Soup is returning "403 Forbidden'" so the lists ('years', 'actors_list', etc.) are empty. URL returns expected screen from IMDB so that's correct ... anyone with a fix for the scrape?
Same for me.
Hi - Thanks for the tutorial!
For the 1st example :
I wonder if it would be better practice to first install with pip the packages and than copy our code.
reason : 'docker build' creates layers in the image file (roughly for each line in the Dockerfile) and caches the content of the layers (to make subsequent builds faster), however when our code changes then the next build can't use the relevant cached layer (because the source --our code-- for that layer changed) AND hence neither can use all the cached layers for lines that are after in the Dockerfile. So, the resulting image is (practically, but not entirely) the same in both ways, but the build processes are faster when we consider what changes more frequently and put that as low in the Dockerfile as it makes sense.
no link droped here
We really need the github link to follow... Can you please give it ?
@Gustavo Murta He posted the same video on his channel and we have the Github link in that video ;)
Thank you. Very nice tutorial!
Print doesn't work in my app unless I add "-u" to the CMD part of the Dockerfile
I ran into an error running example 2 on python 3.11. I had to change the version of pydantic in requirements.txt (pydantic==1.10.2).
Hello.
Why do you need __name__ == '__main__' in this code?
I now this will execute only if you call this code from the main program but not if it's imported. But I don't know why we need to make this distinction here.
i get this when I docker run
/bin/sh: 1: [“python”,: not found
Never used docker before. I got a python azure function which works ok in local debug in vs code. My azure yaml pipeline is failing at the build stage due to some dependency issue. Can I clone my local virtual environment, put it into docker, and deploy my app to azure? Will this bypass the build stage problem?
I’m really looking forward to this
Hi where is the github link
Hi have you find it ? :(
My script is using a dependency json file, where I stored my credentials. what to do if I want to use it while script is running in docker?
You just need to add this file with ADD source dest
Thanks, I tried changing code in any .py file but code changing not reflected
Great tutorial!
Wonderfull!! Thanks for sharing this 👍👍
Thanks! It has been of great help
Thank you :)
Thanks a lot!
Isn't using pip --upgrade a bad practice? Ideally you would want to install the exact version of the packages every time to ensure reproducibility and prevent breaking changes to happen due to new versions.
Ya. Always use something like "python3 - m pip install ur-package"
How do you get command auto-completion ?
Shells like zsh or fish give you autocompletion
@patloeber
I followed some of your videos. You are so cute. Just the moment that docker ran correctly. It seemed that you didn't expect that, and you became really happy. Also, I should mention that I'm not Gay :))
Thanks ....
nice pun usage, a-whale-able
-i OF THE GODS
unable to run pip install commands from docker file
#5 14.57 WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError(': Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/beautifulsoup4/
#5 15.90 Collecting beautifulsoup4
I am having this same issue
I updated by WSL and Ubuntu installations and now the pip install runs just fine.