This video has the signature of a master teacher. You introduced key concepts in a way that is simple to understand. Thank you for starting from level 1 without any assumptions of what we viewers/learners bring to the subject.
Thank you, for this! Love the enthusiasm, exuberance and energy brother. Usually, most tutorials are dull, monotonous and riddled with confusing, and abstract terms and acronyms. You really take the time to distill things in plain speak!
I've been looking for an ETL project videos that I can follow to learn basic data engineering stuff and finally I found your video! Thank you for this!
After watching this video, I knew I had to thank you for this truly awesome video. I have learnt more from this video than from many others out there. You are amazing.
This is really good info! Thank you! One possible area to further advance this video is to upgrade the final task by loading data to an actual database (PostgreSQL for example).
Thanks so much for your comment. Means a lot to me. I agree that we can add a final task to load the data in a database. I have done that in other videos where we loaded to PostgreSQL and in another video we loaded to AWS redshift and yet in another video we loaded to snowflake. Please see my airflow playlist for several airflow projects to explore. Thanks so much. ruclips.net/video/DKsf88oCPWA/видео.html
this video is so clear and helpful. there are many airflow courses, but this video goes beyond and helps you "practice" airflow. hats off to the master and look forward to more awesome videos!!!
When choosing the OS for the instance...does it matter what the local machine is? I'm having error issues with trying to call Airflow "airflow standalone" command. There are multiple errors so have to look at each one, but I wanted to see first if selecting the same OS "ubuntu" and other criteria might be the issue?
Issue was the storage size. “ec2 triggerer_job_runner.py:576} info - triggerer's async thread was blocked.....". Thought it was a different issue because there were many error msgs (like Kubernetes not installed). But after googling the issue...finally found out it was storage size of the VM. That resolved it.
The scheduler does not appear to be running. Last heartbeat was received 32 minutes ago. The DAGs list may not update, and new tasks will not be scheduled.I have followed all commands you mentioned but i was getting like this in my airflow user interface and the command prompt which i connected to ec2 was running airflow standalone where to run new commands so that i can run airflow scheduler ? pls reply
I am very grateful to see this kind of teaching, and I have searched a lot to see a way to connect airflow to the free instance I found a blog on medium that demonstrates that: ( How to Install Apache Airflow on AWS EC2 Instance?)
Excellent presentation. Even though I'm an experienced person still I need to learn a lot from your videos. This reminds me to watch more of your other videos in future. Good work and keep it up.
Been following along with this but used GCP instead as it's got $300 free credits for sign up. Might be worth doing that in future? Thanks for the great content. Teaching style is brilliant. I'll definitely be checking out your other videos. All the best man.
Thank you for this good end-to-end example. However, there are some overheads, e.g. you don't need AWS STS tokens, AWS CLI setup is enough. Also, there is no need to IAM role for EC2. Greetings from Croatia!
I have followed the exact same steps this weekend but this time i am encountering error when I say airflow standalone. The same exact setps I followed last weekend was working flawlessly. Below is the error I am getting this time, Any help would be appreciated. Error: pydantic.errors.PydanticUserError: A non-annotated attribute was detected: `dag_id = `. All model fields require a type annotation; if `dag_id` is not meant to be a field, you may be able to resolve this error by annotating it as a `ClassVar` or updating `model_config['ignored_types']`.
Good beginners video. I am personally not a fan of running your processing code and orchestration on same instance. How do you ensure package dependency,manage virtual environments,resource allocation for different workloads.
Thank you so much for the video, just have a question, how can we make the airflow scheduler keep running after exit ssh? I noticed that the airflow scheduler stopped running after a while or if you exit the connection interface to ec2.
I was enable to open Airflow on EC2 instance, and establish an SSH connection to my Visual Studio. However, my DAG isn't getting created on Airflow. Can you please help?
Hi bro. Congrats for the video!! I have experiencing a major issue, the airflow service and the SSH connection collapses after a few minutes of the instance initiation... What can I do?
Tutorial is really great. However, I am having some issues with loading the airflow UI. When I use ''airflow standalone'', and go to the 8080 port on the url from s3 instance it takes a long time to load the UI. Most times it doesn't load at all. I can't seem to understand what the reason is. Could you please help me?
I was able to do this just fine, I had 2 issues though, the t2.small didnt have enough memory, it kept freezing up, so I had to use a t2.medium instance, then it worked perfectly!
Hello thank you for the great video. I am running into an issue where the EC2 instance keeps freezing and disconnecting every time I manually trigger a dag. I believe it's because the t2.small instance does not have enough memory but I see this is not an issue for you or others. Just wondering if anyone else is going through the same thing or whether it is something I did wrong? Any help is appreciated, thank you.
Just a remark: you forgot to tell that here you are using the default vpc. I don't think it is a best practise. I understand the video would be longer but it would worth mentioning it. As well depending on how you created your VPC, AWS now can create for you automatically a connection between for ec2 instance and S3.
I am getting the error at the last step, i.e to store the csv file in the s3 bucket. can you please help me with that the log file shows like-- ERROR - Failed to execute job 42 for task transform_load_weather_data ([Errno 22] The provided token is malformed or otherwise invalid.; 54783)
I am getting Permission Denied: No AccessKey Presented when i try to run my DAG. I have created access keys from my AWS, and have also pasted them in aws_credentials variable. Please Help!!
I want to make my airflow run every hour, but it seems my token is expired (the one that I get with aws sts get-session-token). how can i get aws credentials that has no expiration? for example, each time i run, how can i run aws sts get-session-token and make the result into python variable?
Thanks for the tuto, just as remarque no need for hard coding credentials, since you gave iam role full access and assumed by the EC2. you can write directly in S3 from EC2
@tuplespectra When i try to login airflow by using instance public ip and port 8080. Unable to connect. I have try all things related to security and all
Hello bro can you explain why airflow throw DAG import error: Broken DAG: [/home/ubuntu/airflow/dags/weather_dag.py] Traceback (most recent call last): File "", line 241, in _call_with_frames_removed File "/home/ubuntu/airflow/dags/weather_dag.py", line 8, in import pandas as pd ModuleNotFoundError: No module named 'pandas' I installed pandas with sudo pip install pandas but it still there. Could you explain this. Thank you so much for your work !
i had an error after lunching airflow standalone can you help me please ? SqlAlchemySessionInterface.__init__() missing 6 required positional arguments: 'sequence', 'schema', 'bind_key', 'use_signer', 'permanent', and 'sid_length' i tried pip install Flask-Session but nothing , i had the same error in my wsl and i solved it the flask-session
Access key for openweather is not working when integrated with airflow, but it is working fine if used without airflow. Any reason why this could be happening?
I'm guessing you are probably making some mistakes. Could you watch the video again and follow it step-by-step? That way you might be able to see what the issue is.
when i connected my vscode to my EC2 instance i didnt get all those files in my vscode. just the .py file. i didnt get airflow file or any other files? please help!
i get my load_data task failed i configured everything right but still get failed for the last task i couldnt figure it out anyone with the same scenario got any soln?
at 58:41 you say to save the python file and it should sync to airflow, ive waited several minutes but dont see any the dag appearing how do i ensure hte file is saved? or can i see even where it failed to be uploaded to airflow?
I suggest you look at you code to ensure there are no mistakes or typo after which restart your airflow server. Let me know if this fix your issue. Thanks for reaching out.
It was excellent sessions no doubt, can you please tell us if we want to take multiple country's like, India, America, France, ... etc then how to do that in that case ??????
Hi, My DAG breaks because of "import pandas as pd". It's giving me below error is airflow: Broken DAG: [/home/ubuntu/airflow/dags/weather_api_etl_asp.py] Traceback (most recent call last): File "", line 241, in _call_with_frames_removed File "/home/ubuntu/airflow/dags/weather_api_etl_asp.py", line 7, in import pandas as pd ModuleNotFoundError: No module named 'pandas' I've pandas installed on my EC2 instance.
@@tuplespectra I tried that too, tried uninstalling and installed again, specifically version compatible with python version. Lately I tried some python coding in jupyter lab/notebook and found same import error. Anyone else faced this weird import error? Not just in this project, but while running any py files? Please shed some light on this
Actually, you can go for either one as a beginner. But I will say since you are already getting the foundations to SQL from my channel using postgresql, I will say to go with postgresql to master the sql skills.
I'm struck at airflow standalone command after running this command it continuessly kept printing like conversation between webserver and triggered. Please help me out
@@tuplespectra if you could give me your Gmail I can send you some screenshots and I can explain you clearly within the mail where I am getting problem
@@tuplespectra to enter username and pw I need to start the airflow right..... By giving the command airflow standalone..... After giving airflow stand alone command the airflow ui is not coming
If you have problems with installing dependencies it is because instead of sudo apt install3.10-venv, replate it to sudo apt install3-venv to get the latest version. Currently, it's at 3.12
I am getting following error while creating a virtual environment. E: Unable to locate package python3.11.9-venv E: Couldn't find any package by glob 'python3.11.9-venv' If anyone can help then it would be great!!
This video has the signature of a master teacher. You introduced key concepts in a way that is simple to understand. Thank you for starting from level 1 without any assumptions of what we viewers/learners bring to the subject.
Thanks so much for this comment. It really means a lot to me. I'm glad you found it valuable.
bring more on databricks as well end to end please. @@tuplespectra
idk why you are not at least as hype as Zach Wilson. thank you very much for giving out high quality content for free!
Thanks so much for your comment. I'm glad you found the video helpful.
Very detailed and basics tutorial with actual hands-on recorded. No PPT's simply a basic teaching which is very helpful for data engineer.
Glad it was helpful! Thanks so much for your comment.
Thank you, for this! Love the enthusiasm, exuberance and energy brother. Usually, most tutorials are dull, monotonous and riddled with confusing, and abstract terms and acronyms. You really take the time to distill things in plain speak!
Thanks for taking the time to talk this video out!
I've been looking for an ETL project videos that I can follow to learn basic data engineering stuff and finally I found your video! Thank you for this!
Awesome, thank you! I'm glad it was helpful. Please go ahead to explore other videos to take your skill to the next level.
i was initially puzzled or worried if i can grasp all but thanks for this video. this helps to dive in to code with airflow
Glad it helped!
After watching this video, I knew I had to thank you for this truly awesome video. I have learnt more from this video than from many others out there. You are amazing.
Great to hear! Thanks so much for this comment. It means a lot to me.
This was just what I was looking for! Now it's time to apply it on my own projects. Keep the good work! Big thank you from Brazil!
Thank you! I'm glad you like the video. Always a good idea to apply the learning in another project. Goodluck!
This is really good info! Thank you! One possible area to further advance this video is to upgrade the final task by loading data to an actual database (PostgreSQL for example).
Thanks so much for your comment. Means a lot to me. I agree that we can add a final task to load the data in a database. I have done that in other videos where we loaded to PostgreSQL and in another video we loaded to AWS redshift and yet in another video we loaded to snowflake. Please see my airflow playlist for several airflow projects to explore. Thanks so much. ruclips.net/video/DKsf88oCPWA/видео.html
this video is so clear and helpful. there are many airflow courses, but this video goes beyond and helps you "practice" airflow. hats off to the master and look forward to more awesome videos!!!
simple and clearly explained, THANKS !!
Thanks for your comment. I'm glad you found the video helpful.
Thank you very much for making the concepts so easy to understand👌
You are welcome!
without using of AWS access key it will work too, I think you just had to wait few seconds longer. I liked this project and hope to see more!
Thank you! I'm glad you find the video valuable.
can you tell us how? I also created the role but it does not seem to allot the ObjectPut access.. even with S3FullAccess
Great work ! Thank for this project. I have already completed and i learn a lot.
Helped me to upskill my knowledge, Awesome tutorial keep it up!!!
Glad it helped!
so how do we make an instance. do we have to pay for this?
When choosing the OS for the instance...does it matter what the local machine is? I'm having error issues with trying to call Airflow "airflow standalone" command. There are multiple errors so have to look at each one, but I wanted to see first if selecting the same OS "ubuntu" and other criteria might be the issue?
Issue was the storage size. “ec2 triggerer_job_runner.py:576} info - triggerer's async thread was blocked.....". Thought it was a different issue because there were many error msgs (like Kubernetes not installed). But after googling the issue...finally found out it was storage size of the VM. That resolved it.
Thank you so much for this tutorial, was very helpful for an interview !!!
Glad it was helpful!
The scheduler does not appear to be running. Last heartbeat was received 32 minutes ago.
The DAGs list may not update, and new tasks will not be scheduled.I have followed all commands you mentioned but i was getting like this in my airflow user interface and the command prompt which i connected to ec2 was running airflow standalone where to run new commands so that i can run airflow scheduler ? pls reply
I am very grateful to see this kind of teaching, and I have searched a lot to see a way to connect airflow to the free instance I found a blog on medium that demonstrates that: ( How to Install Apache Airflow on AWS EC2 Instance?)
Glad it was helpful!
Did it worked for you?
Very clear explanation
Excellent presentation. Even though I'm an experienced person still I need to learn a lot from your videos. This reminds me to watch more of your other videos in future. Good work and keep it up.
Glad it was helpful! Thanks for your comment.
Been following along with this but used GCP instead as it's got $300 free credits for sign up. Might be worth doing that in future?
Thanks for the great content. Teaching style is brilliant. I'll definitely be checking out your other videos. All the best man.
Thanks!
Thanks for this wonderful tuto. It’s time for me to practice now 🙏🏽
You’re welcome 😊 . Yes! Practice!
Your channel is pure gold
Thanks so much. I'm glad you find our videos valuable. We hope to continue to provide you with more awesome instructional videos.
Being an aspiring data engineer, this project is really helpful . Thank you so much for this content :)
You're very welcome! Thanks for your comment.
can it run in free tier EC2 instance?
Thanks so much PROF. Your teachings are absolutely amazing 👍 #iJustSubscribed.
Really good tutorial. Nicely done. Looking forward to part 2!
Thanks! I'm glad you like it!
Excellent information, thank you so much for posting this video here
Glad it was helpful!
This is a masterpiece. Thank you again and again !!!
Glad you enjoy it!
This video is an absolute game-changer for anyone looking to build and automate Python ETL pipelines with Airflow on AWS EC2!
Waiting for part 2!
Second part coming out soon.
amazing man...would love more airflow/dags/python tutorials and also maybe how i can use with scraping data..cheers!
Thanks! We have more videos on airflow you can explore. We will look into your request as well. Thanks!
Thank you for this good end-to-end example. However, there are some overheads, e.g. you don't need AWS STS tokens, AWS CLI setup is enough. Also, there is no need to IAM role for EC2. Greetings from Croatia!
congratulation, good job, part 2, dont forget
Second part coming out soon.
I have followed the exact same steps this weekend but this time i am encountering error when I say airflow standalone. The same exact setps I followed last weekend was working flawlessly. Below is the error I am getting this time, Any help would be appreciated. Error:
pydantic.errors.PydanticUserError: A non-annotated attribute was detected: `dag_id = `. All model fields require a type annotation; if `dag_id` is not meant to be a field, you may be able to resolve this error by annotating it as a `ClassVar` or updating `model_config['ignored_types']`.
I also had the same error as you.
Same for me....Same issue
I had the same error
I was able to get pass the error. All I did was to downgrade from pydantic 2.0 to 1.10.10. I hope it works for you
@@bukolasalami9021 How to downgrade from pydantic 2.0 to 1.10.1
Good beginners video. I am personally not a fan of running your processing code and orchestration on same instance. How do you ensure package dependency,manage virtual environments,resource allocation for different workloads.
Excellent job
Thank you so much for the video, just have a question, how can we make the airflow scheduler keep running after exit ssh? I noticed that the airflow scheduler stopped running after a while or if you exit the connection interface to ec2.
my guy is 100% nigerian
I was enable to open Airflow on EC2 instance, and establish an SSH connection to my Visual Studio. However, my DAG isn't getting created on Airflow. Can you please help?
Thank you, this was super helpful!
You're so welcome!
Thank you for this amazing, well-explained project on apache airflow. I hope you'll make a tuto on apache superset too.
I'm glad you love it! Thank you!
Hi bro. Congrats for the video!!
I have experiencing a major issue, the airflow service and the SSH connection collapses after a few minutes of the instance initiation... What can I do?
Tutorial is really great. However, I am having some issues with loading the airflow UI. When I use ''airflow standalone'', and go to the 8080 port on the url from s3 instance it takes a long time to load the UI. Most times it doesn't load at all. I can't seem to understand what the reason is. Could you please help me?
I was able to do this just fine, I had 2 issues though, the t2.small didnt have enough memory, it kept freezing up, so I had to use a t2.medium instance, then it worked perfectly!
I'm glad all went all for you. Thanks for watching the video.
is medium availabe in free tier?
@@swarupsaha9451 unfortunately no
@@swarupsaha9451 No, you will have to pay for using medium, however it is not expensive in as much you did not leave it running extensively.
t2.small has low ram thus wasn't able to run airflow ,one alternate solution is to use swap space.
This tutorial is great. Looking up to more videos. You got a follower.
I'm glad you love it! Thank you! And thanks for subscribing. You can also explore our playlist of Postgresql video series.
yay, i managed to finish it! and i have the csv file in s3. thx, u deserve the like lol.
Nice work! You did it! Keep learning! Keep growing!
Thank you very very very Much !
Simply… your the best
Thanks so much for your comment. It made my day.
Hello thank you for the great video. I am running into an issue where the EC2 instance keeps freezing and disconnecting every time I manually trigger a dag. I believe it's because the t2.small instance does not have enough memory but I see this is not an issue for you or others. Just wondering if anyone else is going through the same thing or whether it is something I did wrong? Any help is appreciated, thank you.
wonderful video
Great tutorial! Thank You.
Glad it was helpful! Thanks for your comment.
Thank you so much for the video. ❤😊
Thank you!
I am able to install airflow on free-tier EC2 instance but not able to connect to : Public IPv4 DNS . can anyone suggest on this ?
Just a remark: you forgot to tell that here you are using the default vpc. I don't think it is a best practise. I understand the video would be longer but it would worth mentioning it.
As well depending on how you created your VPC, AWS now can create for you automatically a connection between for ec2 instance and S3.
I am getting the error at the last step, i.e to store the csv file in the s3 bucket. can you please help me with that
the log file shows like-- ERROR - Failed to execute job 42 for task transform_load_weather_data ([Errno 22] The provided token is malformed or otherwise invalid.; 54783)
This is awesome! Thanks a lot
Thank you!
It's like T'Challa is teaching AirFlow! 🤣
Thank you very much for the amazing content. Already subscribed to your channel.
You are welcome. Awesome! Thank you for the sub!
excellent vibe, i love it. other tutorial make me sleep
Thanks for your comment. It really means a lot to me.
Great video 👍👍👍👍👍
Thanks 👍
Excellent tutorial
Thank you!
I am getting Permission Denied: No AccessKey Presented when i try to run my DAG.
I have created access keys from my AWS, and have also pasted them in aws_credentials variable. Please Help!!
did you find a workaround for this error? i am also facing the same issue.
Since you are using session token, isnt it a manual effort and hence DAG will not be automated?
Since session token will expire right and need to create new one every now and then
Amazing !! Looking forward to many more
I have just released a second part to this where I showed tasks running in parallel. See link here: ruclips.net/video/DKsf88oCPWA/видео.html
I want to make my airflow run every hour, but it seems my token is expired (the one that I get with aws sts get-session-token). how can i get aws credentials that has no expiration?
for example, each time i run, how can i run aws sts get-session-token and make the result into python variable?
you're good. I am looking forward to the next video.
Thank you so much. I'm glad you find our videos valuable.
Thanks for the tuto, just as remarque no need for hard coding credentials, since you gave iam role full access and assumed by the EC2. you can write directly in S3 from EC2
You're welcome! Thanks for the remark.
When import DAG from airflow it shows Module airflow not found can you please guide?
Awesome explanation
Thanks!
@tuplespectra When i try to login airflow by using instance public ip and port 8080. Unable to connect. I have try all things related to security and all
Hello bro can you explain why airflow throw DAG import error: Broken DAG: [/home/ubuntu/airflow/dags/weather_dag.py] Traceback (most recent call last):
File "", line 241, in _call_with_frames_removed
File "/home/ubuntu/airflow/dags/weather_dag.py", line 8, in
import pandas as pd
ModuleNotFoundError: No module named 'pandas'
I installed pandas with sudo pip install pandas but it still there. Could you explain this. Thank you so much for your work !
You have to install pandas within the airflow_venv for it to work
What if I use CSV file instead of API so how can I load the file into airflow file
Awesome project. Well explained
Thank you!
If all content creators use this method, showcasing their skills by creating projects, they would inspire so many. Thank you tuplespectra once again.
@@peterkatongole5984 Thanks for the comment.
i had an error after lunching airflow standalone can you help me please ?
SqlAlchemySessionInterface.__init__() missing 6 required positional arguments: 'sequence', 'schema', 'bind_key', 'use_signer', 'permanent', and 'sid_length'
i tried pip install Flask-Session but nothing , i had the same error in my wsl and i solved it the flask-session
how did you solve it can you please tell me ?
Amazing explanation, I've tried with Azure VM, if anyone is trying with that installation steps for airflow will be little bit different
Thank you!
great video!!!please can i help me with the installation of airflow because i have a few problems!
Thanks! What's the problem you got?
Amazing video❤
Glad you liked it!!
Access key for openweather is not working when integrated with airflow, but it is working fine if used without airflow. Any reason why this could be happening?
I'm guessing you are probably making some mistakes. Could you watch the video again and follow it step-by-step? That way you might be able to see what the issue is.
Thank you so much, my father
Thank you!
thank you for this tutorial
Thank you so much
You're most welcome
when i connected my vscode to my EC2 instance i didnt get all those files in my vscode. just the .py file. i didnt get airflow file or any other files? please help!
nm i figured it out
Awesome.
i get my load_data task failed i configured everything right but still get failed for the last task i couldnt figure it out anyone with the same scenario got any soln?
at 58:41 you say to save the python file and it should sync to airflow, ive waited several minutes but dont see any the dag appearing
how do i ensure hte file is saved? or can i see even where it failed to be uploaded to airflow?
I suggest you look at you code to ensure there are no mistakes or typo after which restart your airflow server. Let me know if this fix your issue. Thanks for reaching out.
ok i didnt restart my airflow server, sounds like thats where i may have gone wrong@@tuplespectra
thank you so much. i did this on azure but the connection part is different than aws and it didnt work
Hello sir,
Any end to end AWS Data Engineer projects. So that we will tell in interview as 2 yoe.
You can work on my projects, understand them and discuss them during interviews.
It was excellent sessions no doubt, can you please tell us if we want to take multiple country's like, India, America, France, ... etc then how to do that in that case ??????
Check out this video where I showed how to extract for multiple cities ruclips.net/video/ocFzNmgYW9o/видео.html
@@tuplespectra Thank you so much noticing out my concern :)
Hi,
My DAG breaks because of "import pandas as pd". It's giving me below error is airflow:
Broken DAG: [/home/ubuntu/airflow/dags/weather_api_etl_asp.py] Traceback (most recent call last):
File "", line 241, in _call_with_frames_removed
File "/home/ubuntu/airflow/dags/weather_api_etl_asp.py", line 7, in
import pandas as pd
ModuleNotFoundError: No module named 'pandas'
I've pandas installed on my EC2 instance.
Try sudo pip install pandas if you haven't tried it.
@@tuplespectra I tried that too, tried uninstalling and installed again, specifically version compatible with python version. Lately I tried some python coding in jupyter lab/notebook and found same import error. Anyone else faced this weird import error? Not just in this project, but while running any py files? Please shed some light on this
You have to install pandas within the airflow_venv for it to work
You are clear!!
Thank you!
MySQL vs PostgreSQL . Which one should i go for as a begineer
Actually, you can go for either one as a beginner. But I will say since you are already getting the foundations to SQL from my channel using postgresql, I will say to go with postgresql to master the sql skills.
hi i can install panda package in airflow container for docker?
my ec2 instance is not loading using a t2 micro instance. could that be the only reason?
That's one possible reason. It has happened to me before.
It worked now. But now I’m facing a new issue. My airflow dag is not reflecting on airflow
I'm struck at airflow standalone command after running this command it continuessly kept printing like conversation between webserver and triggered. Please help me out
I believe it is working fine. You just need to go grab the user name and pw that airflow created for you and enter them on the airflow UI to sign in.
Let me know what you get.
@@tuplespectra if you could give me your Gmail I can send you some screenshots and I can explain you clearly within the mail where I am getting problem
@@tuplespectra to enter username and pw I need to start the airflow right..... By giving the command airflow standalone..... After giving airflow stand alone command the airflow ui is not coming
@@mudasurbasha5742 tuplespectra@gmail.com
Where does the airflow folder in vscode came from?
it will be created when you install airflow
amazing bro thanhs
If you have problems with installing dependencies it is because instead of sudo apt install3.10-venv, replate it to sudo apt install3-venv to get the latest version. Currently, it's at 3.12
Invalid operation upon using that.
This worked thanks
when I ssh using vs code it keeps disconnecting. anyone found a solution?
I am getting following error while creating a virtual environment.
E: Unable to locate package python3.11.9-venv
E: Couldn't find any package by glob 'python3.11.9-venv'
If anyone can help then it would be great!!
Hey jay try this sudo apt install3-venv
Command not working sudo pip install pandas in airflow _venv , what to do?
Try sudo airflow_venv/bin/python3 -m pip install pandas. It works well for me