question-mark
Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

ARM based installation

See original GitHub issue

I am setting up a raspberry pi to run my algorithms on. I am creating my own Docker Image for the raspberry pi that is based on the provided dockerfiles. I am having issues with the pip install with the error:

numpy.distutils.system_info.NotFoundError: No lapack/blas resources found.

If anyone has successfully made a docker image for ARM, please let me know

Thnaks

Issue Analytics

  • State:open
  • Created 3 years ago
  • Comments:5 (3 by maintainers)

github_iconTop GitHub Comments

1reaction
bweescommented, Sep 26, 2020

The Raspberry Pi is super low powered so you can run small to medium sized algorithms without having to use a larger desktop or server. The performance is nowhere near a modern day x86 computer but, for most server and number crunching tasks, it performs adequately.

I personally have 2 Raspberry Pi 3B+ (Originally 4 running BOINC COVID research) in a Docker Swarm configuration so it has both failover and distributed workload capabilities. Pylivetrader runs in tandem with some other services on the cluster such as network-wide ad-blocking and a VPN server. I have tested my algorithm which uses about 35 Tech Indicators for decisions and it can process decisions for 25-30 stocks every minute. The main reason I use it is the fact that its not a desktop sucking a large amount of power from the wall and being noisy. The Raspberry Pi is only $35 so it makes it perfect for server applications.

1reaction
bweescommented, Sep 26, 2020

I have successfully created and ARM-based docker image of pylivetrader. If you would like to use, run the following: docker pull bwees/pylivetrader:latest

Caveats include:

  • Python 3.7 vs 3.6
  • Pipeline-Live is not installed due to the need for compiling zipline
  • Pandas 0.23 is used because 0.22 is not compiled in 3.7 and the only need for 0.22 is because of zipline
Read more comments on GitHub >

github_iconTop Results From Across the Web

Install Windows on a Mac with Apple M-series chip
To install Windows 11 ARM, run Parallels Desktop, then click on the Parallels icon in the Mac menu bar > Control Center >...
Read more >
How to Download and Install Windows 11 ARM With ISO
You can use UUP Dump to download the Windows 11 ARM64 ISO for the latest and older builds. You can also use it...
Read more >
Installing on Generic ARM-based Device - Nakivo Help Center
Installing on Generic ARM-based Device · Log in to the Linux machine and allow for the execution of the installer file. Example ·...
Read more >
Windows Arm-based PCs FAQ - Microsoft Support
Yes, you can install Windows apps that aren't available in the Microsoft Store in Windows. Peripherals and devices only work if the drivers...
Read more >
How to Download and Install Windows 11 on Arm with ISO?
If you want to install Windows 11 on an Arm-based computer, you need to first download Windows 11 Arm ISO, then create a...
Read more >

github_iconTop Related Medium Post

No results found

github_iconTop Related StackOverflow Question

No results found

github_iconTroubleshoot Live Code

Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free

github_iconTop Related Reddit Thread

No results found

github_iconTop Related Hackernoon Post

No results found

github_iconTop Related Tweet

No results found

github_iconTop Related Dev.to Post

No results found

github_iconTop Related Hashnode Post

No results found