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CircleCI Tutorial w/ Demo Project in 22 Mins 

srcmake
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CircleCI is CI/CD tool that detects your codebase changes and runs jobs you define on your code. It's very useful for automatically linting, building, testing, and deploying your code.
In this video we talk about what CI/CD is, what CircleCI is and how to use CircleCI on a project, and we go over a simple Python Project where we setup the CircleCI config for it and see how our github repo changes and all the benefits it brings.
Link to webpage: www.srcmake.com/home/circleci
Twitter: / srcmake
Twitch: / srcmake
Discord: / discord

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12 июл 2020

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Комментарии : 43   
@sselvakumar549
@sselvakumar549 3 года назад
Awesome CricleCI introductory tutorial!
@C0ttageChees
@C0ttageChees Год назад
I have worked with pipelines for a long time, but your setup with such a simple pipeline and project is the introduction I wish I'd had a few years ago. Sincerely, thank you =]
@ravinderreddykothabad2299
@ravinderreddykothabad2299 2 года назад
Yes, I'm waiting for advanced Circle CI/CD project. Really enjoyed the simple demo project with great notes
@ashishmaikhuri3950
@ashishmaikhuri3950 2 года назад
me too
@MarkSemsel
@MarkSemsel 2 года назад
This is a superb tutorial. Looking forward to the advanced.
@drcatherinepope
@drcatherinepope 2 года назад
That was an excellent tutorial. Thanks so much!
@misaelpereira9679
@misaelpereira9679 Год назад
Awesome tutorial! i didn't notice that time goes so fast!
@hiddenwasabi
@hiddenwasabi 3 года назад
Nice tutorial. Very helpful. Thank you!
@fernandoabreu1305
@fernandoabreu1305 3 года назад
Great video! Thank you for doing it!
@tarunrey619
@tarunrey619 Год назад
Great video. You certainly saved most of time in learning in circleci.👍
@kbcbala
@kbcbala 3 года назад
well it was a super nutshell video, well got me going straightaway. awesome mate. keep up your good work.
@dataaholic
@dataaholic 3 года назад
Please make a more advanced video showing show to deploy Flask + Docker on and Linux server or may if you have time then make a series so that a beginner can understand. You way of teaching is really good that why I asked and there aren't much videos (good ones) available online.
@ekaterinapetrova8594
@ekaterinapetrova8594 3 года назад
Thank you. Excellent intro!
@olusolaogunkunle4970
@olusolaogunkunle4970 2 года назад
This is an excellent intro. very helpful
@nurlanmrahov198
@nurlanmrahov198 Год назад
Simple and effective. Nice job.
@user-wc1sm8cj8s
@user-wc1sm8cj8s 2 года назад
Awesome, really helpful video, thanks!
@viethungha203
@viethungha203 2 года назад
Great tutorial, thank you!
@shekharaakula6233
@shekharaakula6233 3 года назад
Very very helpful, thanks!
@sohaibkhan8835
@sohaibkhan8835 Год назад
Thank you so much making this video!
@robertovargas2647
@robertovargas2647 Год назад
Great video! Thank you for sharing.
@pokelaboratory
@pokelaboratory Год назад
It works here. Thank you buddy
@parsaeagle
@parsaeagle Год назад
What a lovely tutorial !
@MrTalJacob
@MrTalJacob 2 года назад
Great video thank you!
@monikasmierzchalska9077
@monikasmierzchalska9077 2 года назад
Awesome tutorial! thx!
@anjanashetty482
@anjanashetty482 2 года назад
Awesome video..your explaination was so easy to understand.. Thanks a lot!..
@carlcauchi87
@carlcauchi87 3 года назад
great! can you share the advanced tutorial? perhaps deployment to an EKS Cluster and also having different workflows for different branches and also using your own docker image as the src image to build and run your code
@gianniprocida3332
@gianniprocida3332 2 года назад
Excellent!
@glorb192
@glorb192 Год назад
Thanks for this
@harrybanda
@harrybanda 3 года назад
Good tutorial thanks
@fernandoabreu1305
@fernandoabreu1305 3 года назад
Do you plan to do a more advanced tutorial? I would love to see that.
@hamzahaftab3920
@hamzahaftab3920 2 года назад
great video learning a lot! Thanks for the video I'm learning DevOps and having trouble with the pipeline during the test and deployment can you explain how the pipeline works what its syntax is and how to write the full tutorial. Can you also build a dockerize python application using a CI/CD pipeline? That would be grateful, also using your own docker image as the src image to build and run your code
@thedude00
@thedude00 4 года назад
Thanks for the video! Regarding using this for personal projects, wouldn't it be a lot simpler to just use git hooks for CI/CD? A precommit for CI, a postcommit for CD? This assumes one has a deployment script that can be ran from one's personal machine, of course.
@ecomasterster
@ecomasterster Год назад
Good tutorial, thank you ! Good accent as well
@luckyshanbandara9335
@luckyshanbandara9335 9 месяцев назад
Thank You
@stisampaio
@stisampaio 3 года назад
Thank you
@alexdivito6871
@alexdivito6871 2 года назад
great video, one thing i'm trying to figure out is how to pass data between different jobs. ie. a calculation or test suite runs in first job, i want to pass the names of the test suites which passed/failed to the second job.
@narendraj6964
@narendraj6964 Год назад
i am in similar situation, but i cant create a repo for now, i need to use the existing project which already has a circleci directory in it and has a yaml file. how do i add my test automation file to it and create a schedule job to run daily morning 6am EDT ? please can you let me know... i can reach out via email as well.. please let me know if that works
@fahadahsan12
@fahadahsan12 2 года назад
How would you setup the config.yml file to pip install imports i.e. selenium, requests etc.
@film_magician
@film_magician Год назад
But doesn't a complier do the same as what circlci does? You can still test if codes complie/works without circleci, right?
@shangonghowe
@shangonghowe Год назад
@srcmake not making the advanced tutorial with containers and clusters?
@MahtabSiddique
@MahtabSiddique 2 года назад
Seems like you are in hurry to catch a train....
@ekarinteng
@ekarinteng 3 года назад
Great Tutorial! thanks
@ekarinteng
@ekarinteng 3 года назад
If anyone is experiencing the "could not open requirements file" error when the build job fails, try replacing the docker image with "python:latest" rather than "python:33.6.4"
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