Tag: conda install

conda command-line search and install a package in a new environment – tensorflow

Using conda from Anaconda is really easy to install complex environments even like TensorFlow on many different Linux distributions and Windows.
conda utility and its multiple environments guarantee no changes from the package system of the current Linux distribution. Installing operating system updates may break fine-tuned and complex development environments. Installing packages from conda minimizes the OS-related problems and offers the user to use of complex development setups in various Linux distributions like CentOS, Fedora, Manjdaro, Mint, Debian, Ubuntu, Elementary OS with the same command line interface.
Using pip instead of conda may lead to a broken environment after simple OS package updates.

STEP 1) Install conda command line utility.

The install is easy enough, just follow this article – Installing conda command line in various systems with miniconda and create a simple python environment
The conda command-line utility is installed by Miniconda3.

STEP 2) Search for conda packages.

Use the search command to find packages. All available versions are displayed supported for the current installation.
Keep on reading!

Installing conda command line in various systems with miniconda and create a simple python environment

Conda is yet another package, dependency and environment management for multiple languages like Python, C/C++, JavaScript, Java, Scala and many more
For example, with Conda the user could create python environment with the exact versions he needs! And it could be used under any Linux distribution or even Windows.

This article is to show how to install the command-line version of the Conda, which is part of the bigger platform Anaconda. The command-line version is distributed with the name Miniconda. In fact, Miniconda is a free installer for Conda, which includes only the basic set to run conda and conda install to install more than 8000 packages from the Anaconda repositories.

The Anaconda repositories could be found here: https://anaconda.org/anaconda/repo

Advantages of Miniconda:

  1. Minimal installation. 400 Mbytes, not 3G for the Anaconda platform.
  2. simple command-line interface. Couple of simple commands and their instructions are enough to bring up a complex environment for scientific or development purposes.
  3. The creating of a specific environment could be automated.
  4. No strange or not friendly GUI.
  5. Easy installation under most of the Linux distribution and Windows.
  6. The whole installation could occur only under a user’s home directory. No files require to be installed by the administrator or under global administrative path.

Keep on reading!