![]() ![]() ![]() Anaconda behaves slowly and jsonserver crashes Work-around: Consider disabling SublimeCodeIntel for Python views or disabling/removing it completely when using anaconda. SublimeCodeIntel interferes with anaconda's auto-completion. NOTE: The cache path can be obtained from the Sublime TExt 3 console using the code sublime.cache_path() Auto-complete drop-down shows up incorrectly. Work-around: Create a new Python directory in your Packages directory and copy the contents of the file Completion Rules.tmPreferences there with the same name.ĭelete your Sublime Text Cache file Cache/Python/Completion. Sublime Text 3's default Python package cancels the auto-completion when some words are detected (for example def or class). ![]() Work-around: Add a Python interpreter (named python) to your PATH or set a right full path to your python interpreter as parameter of python_interpreter settings option, for example /usr/local/bin/python3.4. Your Sublime Text can't find the interpreter that you set in your configuration, by default, anaconda sets this as python so it will get your configured Python interpreter in your PATH (if any). Errors in the console about “the file can't be open” in worker.py file. Work-around: You have to update your Package Control version to the version 2.0 or better. Anaconda does not appear in the Available Packages list on Package Control. This section lists some common issues faced by users, along with workarounds. Note: This feature is enabled for users of Sublime Text 3 build 3070 or superior only. TooltipsĪnaconda officially supports user themeable tooltips and displaying advanced signatures. This program is distributed under the terms of the GNU GPL v3. Donate today.Īnaconda works out of the box but there are multitude of options and features that you can tune and adapt to your own style or needs. The capability that we are concerned with is installing modules without root.\_,_| _| _| \_,_| \_| \_/ _| _| \_,_| \_,_|Īnaconda turns your Sublime Text 3 into a full featured Python IDE. If you are working on small projects and/or ones which don't need to be deployed/shared, then pipenv is probably not necessary. Please note: Pipenv is helpful for large projects, where keeping dependencies installed and up-to-date is an issue. Much of its functionality is beyond the scope of this documentation. These instructions should be used with venv 3.3 or above only.Ĭreate a virtual environment in your home directory:īefore using pipenv, please read pipenv documentation for a description of what pipenv is and how to install it. See Anaconda's managing environments documentation for how to manage anaconda environments Using virtual env (venv) Install to a specific env, with the `-n` flag Install pip and any other packages you may want Go to your home directory, if you are not already there, and source your `.bashrc` file.Ĩ. Specifically when it asks "Do you wish the installer to initialize Anaconda3 by running conda in it?" make sure to say yes.Ħ. Enter through the license and answer 'yes' to all the questions. To get the latest download url, go to Anaconda's website and right click the download button with the 'copy link' option.Ĥ. Download the shell script from anaconda's website. Check that anaconda isn't already installed with `which conda`.Ģ. Pip install -install-option="-prefix=$HOME/local" package_nameĪnaconda is recommended if users do not have access to pip. If it is already installed, consult the Using Anaconda section below.ġ. Install packages relative to your home directory with either of the following commands: This is the recommended method, assuming user has access to pip. ![]()
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