yanfan001
19 agosto 2021, 07:57
https://i115.fastpic.org/big/2021/0819/05/730c28344cfc83e86404fab7a11da005.jpeg
MP4 | Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 00:26:40 | 924.7 MB
Genre: eLearning | Language: English
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
Screenshots
https://i115.fastpic.org/big/2021/0819/57/96078d358fe6d3c56529e64caa27d057.jpeg
Download link:
***Contenido oculto. Abra la versión completa del tema para visualizar los enlaces.***
MP4 | Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 00:26:40 | 924.7 MB
Genre: eLearning | Language: English
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
Screenshots
https://i115.fastpic.org/big/2021/0819/57/96078d358fe6d3c56529e64caa27d057.jpeg
Download link:
***Contenido oculto. Abra la versión completa del tema para visualizar los enlaces.***