(It actually does far more, but we’ll stop here 🤓)Ĭonda can do that because is a package manager, but also an environment manager. It compiles packages before publishing to the package repository so you don’t get compiler errors.It gives you the power to use any python version you want!.It allows you to use different versions of the same package.it does not know anything about python versions - python 2, python 3? Python 3.5 or 3.6? It can’t help with that.Ĭonda does far more than pip! It’s made for people like you, like me, people doing machine learning and data science.
for many packages, it uses your compiler, which could be incompatible - this is where your compiler errors are coming from. it does not support multiple versions of same package installed - that’s why you can’t have to projects using different versions of same package!. The difference is that pip does just that and nothing else! It downloads and installs packages you want to use. Pip (recursive “pip Installs Packages”) is a Python package installer. I can guarantee it does not have to be like that!Īfter you read what pip and conda do and how they work, you won’t be breaking your environment again. Everybody is mix and matching words pip, conda and install until it starts working! And it usually works, until it breaks your environment completely.Īnd you do not know why it broke so you remove and install all packages from scratch. I thought we’re using just python?!”.Īnd I did not know what to answer. “Is conda just python with preinstalled packages?”. People often ask me “Should I use conda or pip to install packages?”. I don't know if that confused anything.One of the first things I’ve noticed while coming into Machine Learning Engineer role was package management mess. My main question is why can I not see all of the environments with conda env list? The only thing that I can think of is that I also installed Anaconda (even though conda comes with ArcGIS Pro). I had used this same workflow on a different computer previously and had no problems. 
(Though oddly when I run conda env list again from the cloned environment, it has no output.) I can, however, activate it using the path to the cloned environment. However, when I do so from the Anaconda prompt, the environment is not shown (only base shows). The cloned environment shows up when I list out my environments in the Python Command prompt with conda env list. When I cloned arcgispro-p圓, I did so within my Python Command prompt. I followed these instructions from ESRI but gave a direct path name for the clone (C:\Users\me\AppData\Local\ESRI\conda\envs\arcgispro-p圓_clone). I am trying to clone my python environment that comes with ArcGIS Pro (arcgispro-p圓 located in C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-p圓) to a location I can access (I do not have administrative privileges).
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