From 3976c9e49cf6e515926d495465e7da51a52942cd Mon Sep 17 00:00:00 2001 From: "Jason K. Moore" Date: Sat, 14 Sep 2024 13:11:06 +0200 Subject: [PATCH] Remove 'on Windows' --- content/setup-development-environment.rst | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/content/setup-development-environment.rst b/content/setup-development-environment.rst index 5ecface7..f9854f26 100644 --- a/content/setup-development-environment.rst +++ b/content/setup-development-environment.rst @@ -12,12 +12,12 @@ Introduction ============ I have been teaching scientific Python for about 15 years now and helping -students install everything correctly on their own computer has not -really gotten simpler for them or me. I no longer have to coach students -through compiling NumPy and SciPy on Windows but that pain has now been -replaced with navigating them through the myriad of package managers that all -tout themselves to be *the* solution. These days, a new package manager option -seems to be released about every month. +students install everything correctly on their own computer has not really +gotten simpler for them or me. I no longer have to coach students through +compiling NumPy and SciPy but that pain has now been replaced with navigating +them through the myriad of package managers that all tout themselves as *the* +solution. These days, a new package manager option seems to be released about +every month. Back when I started in 2008, I would ``apt install`` the Python scientific computing stack for simple use on Debian Linux (which still works nicely @@ -26,8 +26,8 @@ packages I used, I would compile NumPy & SciPy from source in a Python virtual environment and then install mostly pure Python packages with ``easy_install`` from PyPI_ (we called it "The Cheeseshop" back then). The first release of pip_ was in 2008 and gained quick adoption over ``easy_install``, but it did not -(and still doesn't fully) solve the scientific python installation needs. But -in 2012, Continuum Analytics Inc. (now Anaconda Inc.) released the open source +(and still doesn't fully) solve the scientific Python installation needs. But +in 2012, Continuum Analytics Inc. (now Anaconda Inc.) released the open source Conda_ package manager and a website called binstar hosting Conda packages (pre-compiled binaries) with a goal to unify the bubbling scientific software packaging mess with particular focus on equal status on all three major