configure -prefix/usr/local/curl Compile: make Install: sudo make install Then you will find curl in path /usr/local/curl with four documents bin, include, lib, share. After the `init` was called, the `base` environment will be activated by default. Download curl install package and extract it Use terminal to enter curl install package folder root directory Set install path. Just for fun, restart the Terminal once again before activating the environment. The following Terminal line will create a virtual environment called `base_env` based on Python 3.8: conda create - name base_env python=3.8įinally, initialize the conda for the Z shell (zsh): conda init zsh That’s it! Miniforge is now installed and you’re ready to create virtual environments and initialize conda. You can then run the following wget command to download the. server cd Locate the version you wish to install here: Right click a. Make sure you're in your user's home directory. It’s a couple hundred MB download, so it will take some time to complete. Installing curl Log into your server via SSH. Once both XCode build tools and Homebrew are installed, you can restart the Terminal and install Miniforge: brew install miniforge The Terminal will inform you if these are missing and will ask if you want to install them. Sure, the process isn’t the same as with Intel’s (unless you’re using Miniforge), but the process is still simple. Keep in mind - if you’re setting up a new M1 Mac, it’s likely you won’t have XCode build tools installed, which are required for Homebrew. To conclude there’s no need to bang your head against a wall when configuring a new M1 Mac for data science. It’s a package manager for Mac, and you can install it by executing the following line from the Terminal: /bin/bash -c “$(curl -fsSL )" To start, you’ll need to install Homebrew. It will take you between 5 and 10 minutes to set up completely, depending on the Internet speed. Download cURL for Mac MacUpdate Home Internet Utilities cURL cURL Version 7.85.0 Command line tool and library for transferring data with URLs. I’ve spent so much time configuring the M1 Mac for data science.
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