What are the differences/similarities between multiple python package management?

Python seems to have multiple package management system that leads to confusions and conflicts when use in parallel. I would like some guidance in how to operate with these tools to get the best system state.

Here are my questions:

  • There are so many package installing tools when it comes to python: apt-get, pip, easy_install, conda and the python3 version of those. Could somebody explain when one should use the particular tools and the concept of those tools work together? I would even appreciate it if someone could give me a link to an article which actually goes through each of these systems in detail, compares them, and highlights the differences between them.
  • Would installing and running python stuff anaconda take care of the headache of using multiple python package tools?
  • If the python packages that anaconda installs are already present in the system how those two coordinate when we use them?

Thanks.

Replay

Category: package management Time: 2016-07-29 Views: 4

Related post

iOS development

Android development

Python development

JAVA development

Development language

PHP development

Ruby development

search

Front-end development

Database

development tools

Open Platform

Javascript development

.NET development

cloud computing

server

Copyright (C) avrocks.com, All Rights Reserved.

processed in 0.252 (s). 12 q(s)