OneDDL Posted August 22, 2021 Report Share Posted August 22, 2021 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 https://hot4share.com/xt26ng5l5xhi/jme5p.Get.started.with.Conda.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/a76b7c7917138872/jme5p.Get.started.with.Conda.rar Download ( Rapidgator ) https://rapidgator.net/file/ddb464600c96c873e6a5dc6f54a000cd/jme5p.Get.started.with.Conda.rar.html Download ( NitroFlare ) http://nitro.download/view/C58B6E4368D4719/jme5p.Get.started.with.Conda.rarLinks are Interchangeable - No Password - Single Extraction Link to comment Share on other sites More sharing options...
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