![]() ![]() Step 4: Configure Anaconda in Sublime Text 3 In the search bar that appears, type Anaconda and select it from the list.Type Package Control: Install Package and press Enter.Press Ctrl+Shift+P to open the command palette.This plugin adds Python autocompletion, linting, and IDE-like features to Sublime Text. write ( by ) Step 3: Install Anaconda Plugin for Sublime Text 3Īfter installing Package Control, you can now install the Anaconda plugin. hexdigest () print ( 'Error validating download (got %s instead of %s ), please try manual install' % ( dh, h )) if dh != h else open ( os. Import urllib.request, os, hashlib h = '6f4c264a24d933ce70df5dedcf1dcaee' + 'ebe013ee18cced0ef93d5f746d80ef60' pf = 'Package Control.sublime-package' ipp = sublime. Paste the following code into the console and press Enter:.Press `Ctrl+`` (backquote) to open the console.To install Package Control, follow these steps: ![]() Package Control is a package manager for Sublime Text that allows you to easily install, upgrade, and remove packages (plugins). Step 2: Install Package Control in Sublime Text 3 If not, you can download them from their official websites: Step 1: Install Sublime Text 3 and Anacondaīefore we start, make sure you have both Sublime Text 3 and Anaconda installed on your system. This blog post will guide you through the process of setting up Sublime Text 3 with Anaconda, ensuring a seamless coding experience for your data science projects. However, to fully leverage its capabilities, it’s crucial to configure it correctly with Anaconda, a powerful open-source distribution of Python and R. Sublime Text 3 is a popular code editor among data scientists due to its simplicity, speed, and extensibility. | Miscellaneous Configuring Sublime Text 3 for Anaconda: A Guide for Data Scientists ![]()
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