Get started with Conda

Video description

Packaging in Python has always been polarizing. From complicated beginnings where you couldn't uninstall libraries, to virtualenv that allows you to work in a self-contained environment that can be thrown away. In this video, I'll present an introduction to Conda, and to a chanel-specific variation of it that is maintained by the community called miniforge.
If you are looking for a way to get scientific packages for the new Apple M1 silicon, this video will also help you out get everything sorted, including installing versions of Python that are pre-packaged and ready for data science tasks.
Topics include:
* Install Conda by using the community version called miniforge.
* Use conda to install a specific version of Python, without system installs
* Find more about the differences between virtualenv, pip, and conda
* Install data science libraries in the new Apple M1 silicon

Useful links:
* Conda documentation
* Conda Forge community documentation
* Conda miniforge project

Table of contents

  1. Lesson 1
    1. "Intro To Conda"

Product information

  • Title: Get started with Conda
  • Author(s): Alfredo Deza, Noah Gift
  • Release date: August 2021
  • Publisher(s): Pragmatic AI Solutions