It offers all the required packaged involved in data science at once.
It focuses on the distribution of R and Python programming languages and aims at simplifying the data management and deployment of the mentioned languages. You don’t use your normal command prompt at the end, you go into the start menu > Anaconda3 (64-bit), and either use Anaconda Navigator or Anaconda prompt.Anaconda is primarily developed to support data science and machine learning tasks.The only thing is, it’s important that you select Python 3.6 and not 2.7. The installation is straightforward and I used just recommended settings, so I’m not going to include that in this guide.Anaconda installation for windows can be found here:.The rest of this guide helps you if you’re confused somewhere. Open Anaconda Prompt (NOT Anaconda Navigator).The entire thing can be summarized in five points: Everything works fine in Anaconda Prompt, and there’s not much support for running things outside of the provided Anaconda tools. I made the mistake of trying to figure out Python with VS Code and briefly with Command Prompt before remembering that the Anaconda installation mentioned something about Anaconda Prompt. Note that this guide uses the Anaconda Prompt and not Command Prompt.
Because of my unfamiliarity with working with Windows, I went down the wrong path multiple times, and so in this guide I tried to include these mishaps so they can avoided. I come from the Linux or MacOS world so I’m not familiar with getting things setup on windows, so getting PyTorch just installed on my laptop was a whole ordeal and took forever. I have a budget gaming laptop and I wanted to see if I could leverage it for machine learning practice. This guide was made for Windows when PyTorch was on 0.4.1. This is my personal notes but hopefully it helps someone. How to Install PyTorch on Windows Step by Step
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