/
My ML Dev env
My ML Dev env
- Marius Ciepluch
Owned by Marius Ciepluch
I use
a VMware Fusion VM: Linux Mint
IntelliJ IDEs / Neovide (a NeoVim frontend).
Usually Apt and Nix.
- Pretty standard. Very productive setup!
Anaconda / conda > pip
conda has a package for Jupyter Lab
conda install conda-forge::jupyterlab
PyCharm + GitHub Copilot
PyCharm has good debugging options. You can use the JetBrains toolbox.
Neovide (on Linux Mint via Nix)
Doesn’t need all that configuration. Well suited for opening large files and jumping to a specific line number (:1234)
marius@mleng:~$ which nix
/nix/var/nix/profiles/default/bin/nix
marius@mleng:~$ nix-shell -p neovide
...Linux Mint is rather conservative, which is good. As stable as Debian. Nix builds separate environments for modern packages like Neovide etc.
Related content
Atlassian Confluence
Atlassian Confluence
More like this
NeoVim (11.1.24)
NeoVim (11.1.24)
More like this
VMware ESXi for the lab
VMware ESXi for the lab
More like this
LangChain, an on-premises CPU LLM, and a basic Prompt
LangChain, an on-premises CPU LLM, and a basic Prompt
More like this
AutoML with tpot in a Linux VM, no GPU (15.1.2024)
AutoML with tpot in a Linux VM, no GPU (15.1.2024)
More like this
JVM ecosystem | Java, Kotlin, Maven, Gradle Home
JVM ecosystem | Java, Kotlin, Maven, Gradle Home
More like this