: 
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
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
https://hot4share.com/xt26ng5l5xhi/jme5p.Get.started.with.Conda.rar.html
https://uploadgig.com/file/download/a76b7c7917138872/jme5p.Get.started.with.Conda.rar
https://rapidgator.net/file/ddb464600c96c873e6a5dc6f54a000cd/jme5p.Get.started.with.Conda.rar.html
http://nitro.download/view/C58B6E4368D4719/jme5p.Get.started.with.Conda.rar
Links are Interchangeable - No Password - Single Extraction