I followed the instructions on this site and seem to be having issues when I come to calling pyspark in my terminal. I have Anaconda installed.
https://towardsdatascience.com/how-to-get-started-with-pyspark-1adc142456ec
Output from pyspark command
Any help/guidance would be appreciated if anyone has alternative ways to get this downloaded or know how I can fix this issue.
Thanks in advance!
Related
I am trying to install "azureml-sdk[databricks]" on my cluster in DataBricks using PyPi. But it is taking very long time and the status is always "Pending". I have waited around 2-3 hours but this package is still not installed.
Some other packages I can install easily using the same procedure. As you can see in the picture.
Could anybody tell me that what could be the problem ?
Thanks !!!
Yes, you are correct, it seems like a bug. I tried to reproduce the same in my environment it took a very long time.
You can reach out to Azure Support or Can raise a GitHub Issue.
Or
You can follow below alternative approach. I successfully installed azureml-sdk[databricks] using the 10.5 ML Version.
Azure Databricks Runtime Version: 10.5 ML (includes Apache Spark
3.2.1, Scala 2.12)
I recently decided to switch from W10 to GNU/Linux, and yes still a Linux noob.
So which is the most recommended way to install flutter on Linux?, a way which won't get me troubles in the future when I try to update flutter.
Right now I only now this three ways, which one is the best option? (you're free to tell me is there is another and better option)
Install Flutter using snapcraft (snapd)
Install Flutter manually with github repo or tar
Install Flutter using yay (Arch-based distros only)
I really don't know anything about flutter in GNU/Linux so, I'd appreciate any opinion and advice.
Thank you in advance.
The best and most stable for me was manually, but not from gitHub, by using tar.
SnapD caused errors, but using .tar has been fine for 5 months now. Updating easily and seamlessly.
As you may have seen, but follow the documentation here step by step will work fine.
https://flutter.dev/docs/get-started/install/linux
If you have trouble exporting the path, come back for further help.
Welcome to the club.
I am working with Jupyter notebook for some studying. I just updated all my python libraries and now when I start a new python notebook, it just continuously says connecting to kernel in yellow.
Do I have to change something using my terminal to tell my mac to use the localhost? I have been trying to initiate an EC2 instance for another project, which I put on hold until I can figure out why that is not working, but now I can't connect locally anymore.
Sorry, I am so vague in my explanation but it is literally my first time trying to remote connect and now I think I might have messed up the paths or something.
I am reading something about websockets on git?
Any and all help is greatly appreciated!
I ended up uninstalling and reinstalling anaconda. This seems to have fixed it.
I fixed it by downgrade tornado to 5.1.1 version.
Apparently, the 6.0 version has some issues.
Reference
https://github.com/jupyter/notebook/issues/4399
I am migrating a python 2 project to python3.2. I am stuck on options for M2Crypto. On the forums I only found that M2Crypto still does not support Python3 and a lot of folks have moved to pycrypto.
Any alternatives that you guys suggest ? Or should I look at pycrypto.
Thx
There is an issue opened on the git of M2Crypto.
It seems to be under development since a year.
(When) Will m2crypto be ported to Python3?
There is a python3 branch that you can try out.
But I guess, there is no warranty that it will work.
https://gitlab.com/m2crypto/m2crypto/tree/python3
Currently i'm working on a project where I need to use Python 3.3 and celery.
I've been following the first steps tutorial, but i keep getting errors due to problems with librarys like _subprocess. Does annyone have some more information on this.
I also tried replacing the _subprocess with _winapi, with more errors as result. I'm open for anny suggestions. anny help on the mather would be appriciated.
ps:
I'm working on a windows machine.
I'm using RabbitMq as broker
celery doesn't yet work perfectly with python3.3 on windows it seems.
I ran the exact same setup on linux fedora and got it to work.
This problem should be fixed in future development of the package so be patient.