Ask HN: Python dev on Windows?
The tools I'd be regularly using or exploring include: Falcon, Django, Postgres, RabbitMQ, Redis, Celery, Numpy, Scipy, lxml.
The tools I'd be regularly using or exploring include: Falcon, Django, Postgres, RabbitMQ, Redis, Celery, Numpy, Scipy, lxml.
If the FS is frustratingly slow, consider using HyperV or Virtualbox to run a Linux VM. the filesystem will be faster, but your RAM resources will be shared less “fairly” between Linux and Windows. VMs are quite fast these days, and most certainly preferable to a bare-metal Linux install for me, at least.
If you dual-boot or install on hardware, I worry you’ll add too much friction and end up spending more of your time fiddling with Linux instead of learning what actually interests you here: Python.
4) Use a virtual machine with Linux -- or the reverse, virtual machine with Windows running under Linux.