Docker Simply Explained with a Machine Learning Project for Beginners

[@christsciple]

20 years in software engineering and architecture and I've been working with Hugging Face longer than I have Docker containers. Great tutorial and very helpful even for us old dudes!

[@benwilde1768]

I so so so love that you first show the steps going wrong, and then how it should be for it to work. And also that you start from the simplest way of doing it and building on top of it. Amazing teacher!

[@mikesir87]

(Member of the Docker DevRel team) - Fantastic job with the video! Great explanations and demos! 🎉

[@apurbaacharjee1148]

"I have been subscribed to your channel since 2020. You are a great teacher."

[@Adventagous]

Always delivering very detailed and straight forward tutorials

[@PythonSimplified]

Thank you so much!! It's my new goal in life 💪💪💪 hahaha

[@adrian__4678]

@@PythonSimplified And you do it very well.😁

[@incognito7350]

Ladies are natural teachers. They do it way better.

[@VinnyRN07]

What always strikes me, as well as the concise, efficient and detailed way in which you portray your content, is how incredibly well edited it is! On most content from coding creators online, I find myself scrolling through bookmarks but you are one of the few creators whose content I watch from beginning to end! Engaging, well delivered and very interesting, especially as I am getting more into docker as I develop my Machine Learning skills, especially when developing on multiple platforms. Keep up the fantastic work! :D

[@ganeshvanave2310]

I am speechless. I can't explain how easily you have explained about docker. Please continue to create such content ! I just love it.

[@floopybits8037]

This is one of the best tutorial on docker for beginner on entire internet great work 🙏🙏🙏

[@hk254lyt8]

I’m a 2nd year computer science student. Thank you for helping me in my journey 🙏🏾 ❤️

[@trollenz]

I don't regret a single bit having waited until I see this vid to start with docker 👌🏻👍🏻 Thanks a lot !

[@riptide828]

Incredible work. Great flow and charisma on your end, time flew and I will now start my own container terminal to ship paintings.

[@user-uk9ls]

Excellent video! I have already worked with Docker in the past but your video is so charming that I could watch it to the end. It refreshed the old knowledge. Thank you!

[@KrishChauhan-cv4vu]

I just finished Machine Learning this semester and it’s helpful to learn something new like Docker!

[@PythonSimplified]

That's awesome! I'm also taking the AI/ML route in uni (it's my last hardcore semester in school, the next one is just working my final project 💪💪💪) My midterms are precisely in a month from now, so I'm releasing one more video next week and then I immediately move on with studying. The next tutorial will probably be quite useful to you as well! it will show you how to make your Pandas run much much faster (specifically, 30 times faster on both my PCs), so you're definitely in for a treat if ML/DL is something you plan to pursue in the future! 😉

[@KrishChauhan-cv4vu]

@@PythonSimplified that’s so cool! I completed my final project for my Machine Learning last week on classifying Brain MRI Scan images. Took so long since model kept under fitting 😂.

[@KrishChauhan-cv4vu]

@@PythonSimplified I subscribed. Cannot wait for more Machine Learning videos!

[@tenicg7045]

Thanks, Mariya, for the excellent Docker tutorial! Your clear and practical approach made understanding Docker's complexities much easier, especially in a machine learning context.

[@HeroKamonji2481]

An an Expert in Devops, this video allowed me to learn a new trick with Jupyter. Thank you so much for sharing your knowledge with us

[@MrPioneer7]

Wow! This was the tutorial I was waiting for. Thank you

[@mostafashahriari-i4r]

I wait to watch and learn ,thank you

[@PythonSimplified]

Thank you dear! I hope you like it! 😀

[@nibiruimagineering]

I will be using docker soon enough at work, you make the basics very easy to follow. Thank you.

[@calebsuit5390]

Your videos are so great for me as a someone stuck between being a beginner and intermediate. I appreciate your videos so much.

[@clxymox]

A perfect presentation on Docker, well done. And a wonderful French accent.

[@newlifechannel38]

you are an excellent tutor. keep it up. I can't wait to watch all your videos

[@freezoulou]

thanks Great tutorial and very helpful ...send all my love to you work

[@armandopena3272]

God bless you Mariyasha! I really love the way you teach.

[@Abdolahy]

That was amazing! Thank you so much.

[@erpie-various]

Great tutorial! Tip: there are some pre-requisites to follow your tutorial flawlessly: - for people experiencing issues with Docker Desktop not starting up: enable the SVM-option in your BIOS, and also enable Windows feature HyperV. - NVIDIA CUDA drivers need to be installed to run Tensorflow in the Jupyter notebook (so yes: you need an NVidia graphics card on the hardware on which the container is running on top) Keep up the wonderful work!

[@jorgev4656]

God. You are the most beautiful programmer in the world. ❤

[@PythonSimplified]

Wow! Thank you so much! 😀

[@jorgev4656]

@@PythonSimplified Greetings from Colombia. I confess that my ex-girlfriend was jealous of me when I watched your tutorials so I watched you secretly. Advance my career with your help I am now a full stack developer. 😎

[@haideralikhan2340]

Appreciate the time and effort you spent on making it appear so easy to work with.

[@teslim8985]

Impressive tutorial! Big thanks!

[@Fadedglory343]

Excellent tutorial, I learned a lot. edit: For anyone running into file permissions issues using WSL, under 'environments' in the compose.yml put 'JUPYTER_ALLOW_INSECURE_WRITES=true'

[@AdityaManethia]

Amazing!! How simply you have explained everything.

[@samajammy]

I love your tutorials. You have a way of covering all the basics, without treating us like a troop of baboons sharing the same brain cell. Thank you

[@sgatea74]

Great intro into docker hands-on with practical UC. Congratulations maryasha !

[@phovos]

Winning video for winners. TY Mariya!

[@timothyo718]

This is great timing. Docker always kinda went over my head. Mostly do local environment Python programming as an Analyst but want more software developer skills.

[@PythonSimplified]

I always wanted to learn Docker but every time I started - I was struggling with wrapping my head around it. (I started many times given all the viewer requests, I was bombarded with "we need a Docker Simplified tutorial" messages, mostly on Discord). Most tutorials and articles I read were very technical and assumed you have lots of prior experience. Important things like exposing ports and mounting drives was explained as a "by the way" note, the word "machine" repeated a lot (even though containers are nothing like VMs), and I could never understand what all the ./ and $VARIABLE_NAMES mean in Dockerfiles. Also, not many tutorials explain how to deploy an image to DockerHub, it's a Stack Overflow type of thing. So I assumed that many folks are in the same situation... we may use it all the time - but it doesn't mean we understand any of it. We can accomplish our specific task - but anything beyond it is a mystery. Hopefully this tutorial will change it 😉 (sorry for the long rant hahaha, I'm very upset with the lack of simple Docker tutorials, it's not right!!! 😅)

[@timothyo718]

@@PythonSimplifiedThank you for the work you put into this video. I definitely agree that the available Docker tutorial videos are much to be desired. My brain would turn off as soon as I saw the yml and Docker files and the new syntax involved with them. Had a similar issue when I tried to learn Jenkins. Just went completely over my head. This video was very helpful in demystifying Docker and I appreciate all that you do.

[@minam330]

very impressive and thank you so much. Learned something new!!

[@Sinke_100]

Just stoped by quickly, haven't seen all of it, but from what I seen, you really made it simple, and when I worked with docker before i did find it confusing, but I like it alot, i would try to put up an app on render through docker soon I hope

[@PythonSimplified]

I also worked with Docker before (there's even one tutorial on the channel where we use it - ML Inference with Torch Tensor RT), but I never truly understood what I was doing until I started working on this tutorial. I think that many of the resources online fail to explain it properly and that's why it's so confusing for many of us... helpfully my tutorial will change it! 😀 Let me know if it helps! (and please also share your app repo when you are done, would love to see what you came up with! 😉)

[@Sinke_100]

@@PythonSimplified it would probably be simple user greeting test app, cause I want to try out java for first time, it would be more introduction for me for some new stuff i haven't try before, instead of app that is really usefull 🙂

[@07bakabaka]

amazing really helpful tutorials, thanks a lot.

[@Arvolve]

Such an amazing tutorial!

[@vishaksathyan4189]

Thank you so much

[@PythonSimplified]

You're absolutely welcome! enjoy! 😀

[@shahriartarit]

nice,detailed and simplified explanation. thanks maria

[@HistoryIsAbsurd]

Thanks alot! Found the video in my feed at the perfect time.

[@deepjariwala4211]

great content👏👏. Keep building

[@xddelectronics]

Where is ultra mega like button! Thank you! 🤩🤩🤩🤩🤩

[@kenchang3456]

Excellent walk-through, thank you very much.

[@udbhav3760]

Hey Mariya.. First of all a very nice video and now my question is. Is it possible to work on docker with AWS? And also using docker help the most but is it possible to compress the size of docker images.. I mean they have taken too much size.😩 It would be helpful if you add some pros and cons points also.

[@thedeparted_one]

Brilliantly explained! Thank you.

[@xenos321]

Great tutorial and well-delivered. I'm a bit lost why docker compose was used here though. Is compose a good way of spinning up only one container?

[@chanharry4179]

What a wonderful content!! OMG!!! I love it!!!!

[@paolocromerazz2265]

Rarely seen such a great, well explained video. Hope there will be a video explaining how to use compose for a distributed application such a db in a container and a webapp in another one. In the meantime I'd like to wish all the best.

[@carstenjensen3123]

Such a smooth tutorial. Really helpful. Thanks for your commitment to making great content!

[@juliocw]

Thank you very much. Very detailed and clear explanation.

[@yusfcag]

Love these videosss

[@PythonSimplified]

Thank you!! Super happy to hear!! 🙂🙂🙂

[@thunde7226]

love the video............... Mariya.......................Great tutorial........................:) bye

[@PERSISTENTxMF]

Omg it’s coming!!!!!!

[@PythonSimplified]

See, only 2 years after - the video is ready 😅😅😅 hahahaha

[@r.jgrondin8018]

Excellent, j'utiliserai plus souvent Docker maintenant !

[@AlMar-j5l]

concrete, practical, very nice thank you

[@bit-oliver]

WOW !!! me cuesta pero me gusta este contenido....alli voy hasta atras haber que aprendo.

[@1966Ske]

Perfect tutorial. Thanks.

[@badass_bloke144]

I can't thank you enough. How do you know everything and explain them in a very user friendly way. ❤

[@_isDev]

Always wanted to learn this dev tool. Amazing! Saludos

[@ouzediop2658]

Great tuto I understand docker applied for ML and DL

[@СеменХеруимов]

Спасибо :)

[@PythonSimplified]

пожалуйста! :)

[@Yassine_98]

One question, for developing ML project is it better to use Jupyter notebook this way or by installing Anaconda locally?

[@PythonSimplified]

It's just a matter of preference... I personally think Docker is cooler (now when I finally understand it 😅 hahaha). I think the biggest benefit of Docker vs. Conda is when you work in a team and need to ensure maximum consistency. Other than that - both Anaconda and Docker run locally, so there shouldn't be any difference in processing speeds or access to files. Your hardware is not split between Docker and Windows - Docker has 100% access to your system. Also, if you have a tough time deciding, you can always use the Anaconda Docker image!! 🤪 (docker pull continuumio/miniconda3)

[@Yassine_98]

@@PythonSimplified Ok thank you, and can you use 2 docker at the same time, for example using anaconda docker and tensorflow docker insteed of just adding tensorflow to the anaconda docker and creating a new image? If yes, is it a good idea?

[@mosihn-zj9gg]

Beautiful and smart😉

[@azizsharief6557]

Simply brilliant!!

[@PedroGeada]

Great tutorial. Loved it. However around minute 15, it seems you didn't refer on the docker composer file to the Dockerfile you created. To make it work I had to add one line in the composer yaml below build: with dockerfile: Dockerfile

[@AFRICANSTUDIO]

Explanatory, good content girl

[@Tobs_]

Thanks for the video.

[@MaxStudioCG2023]

you the best :x

[@PythonSimplified]

Thank you! 😀

[@MaxStudioCG2023]

@@PythonSimplified lov you ! :*

[@ousmanediop4232]

Great thanksfor sharing knowledge

[@dakshbhatnagar]

Whoa! This was so much to understand in one go. 😢

[@PythonSimplified]

Sorry dear, I hope that following along with the code example will clarify things 🙏🙏🙏

[@seankim7189]

Great tutorials for real!!!

[@pjj7466]

Great dear

[@uwillcxm22]

hello, what did you use to create the yaml file?

[@din2750]

I just started a job in the infrastructure unit of a software development government entity. When developers finish a project I deploy to producción using Docker and kubernetes. I use a not complex Dockerfile, then I do a little optimization to reduce the size. And that's all i need to know to deploy.

[@PavlikMi79]

nice video. thanks

[@zintheer]

How do you find the directory of the container? When adding the volumes portion in the compose.yml file I also put the directory path to my profile ex: /home/. However when refreshing my jupyter notebook it did not have my compose file in the file tree. I am using ubuntu 22.04.4.

[@thegooddoctor6719]

Thank you.

[@BernalynBiscocho]

Hi Mariya, how did you start from docker compose using the yml language? What app did you use?

[@morgan7street]

Always good👍

[@alexandermuir8160]

3am You're killing me Mariya

[@PythonSimplified]

Sorry Sandy you live too far 🦘🦘🦘 hahahaha

[@ExXGod]

I think you should explain the concept behind creating the Dockerfile and other things before jumping into the code. Anyway it was a good follow along video but I have to watch somewhere else for clarity.

[@eduardfrades6972]

Hi, I am learning from you, one question, using docker, can you run a simulation using gpu?

[@PythonSimplified]

You can pretty much do anything from a container if you set it up right

[@eduardfrades6972]

@@PythonSimplified you are right , I found the correct image : nvidia/cuda thanks

[@zephxdyt]

Hey Mariya nice video, wanted to know if you needed a video editor/thumbnail designer for the channel?

[@sumangautam4016]

Can you do one with LLM application developement within cloud such as Azure and deploy as container?

[@PythonSimplified]

Check out my NVIDIA NIM tutorial with Llama 3.1, it's pretty close to what you're looking for (as it is also Docker-based): ⭐ NVIDIA NIM Beginners Tutorial: kzbin.info/www/bejne/rHabYYaCoJJnhq8 I'm using NVIDIA Launch Pad in terms of cloud, but Azure has fully integrated NIM microservices. I hope it helps! 🙂

[@sumangautam4016]

@@PythonSimplified Not quite yet, but still interesting! Thank you

[@TommyGunz_]

I enjoy your videos and I've recently looking into docker as well. Not sure i would ever have a use for making my own image, but now i kinda know how they're made. Small little comment , but all i could focus on was any time you said words like Ports. Because you don't have a Pop filter. Your audio in your videos have always been perfect otherwise.

[@medalaeeladlani5683]

Very good video 👍👍. But what is the benefits of using Docker??

[@tenicg7045]

Docker simplifies development by creating isolated environments, making sure your app works seamlessly in any system. It's great for avoiding the 'works on my machine' issue, ensuring consistency across different machines and team members. Plus, it's super handy for managing dependencies and versions!

[@medalaeeladlani5683]

@@tenicg7045 Cool thanks, seems a little bit difficult but way better than the virtual envs. And what is Docker good for? Deploying Web apps, Windows or Android or both...?

[@louiss3409]

I had a comment about using podman instead of the full docker install, I guess I don't understand why it was removed.

[@khang-0]

Do u know how to set the default password for jovyan user in docker container? I need to install some in my docker container but it requires root privilege.

[@eswarimadhumithareddy4426]

iam unable to add compose file and also transformers are also not installed,I think i wrote wrong directory

[@CMT-p6q]

great video, but we all got to admit Bruce Wayne always has the latest stuff before it even hits market

[@PythonSimplified]

Agreed!! Though latest doesn't necessarily mean best 😉

[@webslinger2011]

New issue: replacing image with build resulted to an error finding the file or directory again.

[@jjesuschristt]

Gandalf is likely using Numpy to analyze Fellowship's stats and to decipher magical Fourier transforms of ancient scrolls.

[@asamwill4076]

Thanks

[@Robay146]

Thanks for this. Hope you're okay! 22:10

[@patekreol974]

Super

[@newlifechannel38]

please how can I make docker compose using window computer not MAC computer?

[@ianwegerle269]

Hi. A stupid question. Where do you create or see the /home/joyvan...?

[@ianwegerle269]

at 12:45

[@soth99]

Fantastic content, may I please request that you replace your Microphone .. the variable audio volume is distracting from the impressive content

[@miguelesteves7454]

What a lovely lady 🥰😍😘