To activate the anaconda environment, run: conda activate You can create a new anaconda environment using the following command. Or you can update all the packages of Anaconda using: conda update -all You can update the anaconda using the following command. Or you can simply type anaconda-navigator in your terminal. You can now launch Conda Navigator from your system’s applications. Type conda or conda info in your terminal to verify anaconda installation. Run the following command to fetch your bashrc file. Conda inti will not only initialise the anaconda, but it will also add itself to the system variable PATH. Conda is a command-line package manager for Anaconda. Once installation is finished, Initialise the anaconda using the conda init by typing yes and proceed. Next, select the location of the installation and hit Enter. bash /tmp/Anaconda3-2021.11-Linux-x86_64.shĭuring installation, you will be prompted to accept the licence terms.
#Reinstall anaconda using sudo linux install#
Run the downloaded shell script and install Anaconda using the following bash command. Use the following SHA256sum command to get the hash of the downloaded file. It is recommended to take and compare the SHA256 hash of the downloaded file with the official file HASH to prove that your file is authentic. Next, download the installation file for Anaconda using the following wget command. sudo apt install libgl1-mesa-glx libegl1-mesa libxrandr2 libxss1 libxrandr2 libxcursor1 libasound2 libxcomposite1 libxi6 libxtst6 Anaconda Navigator is a QT-based graphical interface that is highly convenient on the desktop. To use Anaconda Navigator, you need to install the following packages. Note: Although the commands used in this tutorial are specifically for the Ubuntu system, all the methods are also valid for any other Linux-based system.
#Reinstall anaconda using sudo linux how to#
In this article, you will learn how to install, use, and remove Anaconda from your Ubuntu operating system. Anaconda also supports the creation of a basic, controllable environment, making any project deployment straightforward. It comes with various tools such as conda and Jupyter Notebook that provide you with a smooth and fast package and environment development. Anaconda is frequently used for the development of machine learning and artificial intelligence applications.Īnaconda makes package distribution and administration easier. Its purpose is to provide scientific libraries and dependencies for Python programmers. In simple terms, Anaconda is an open-source package and environment manager that houses thousands of predictive analysis, machine learning, and data science packages.
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