# append to the history file, don't overwrite it shopt -s histappend # See bash(1) for more options HISTCONTROL=ignoreboth # don't put duplicate lines or lines starting with space in the history. # If not running interactively, don't do anything case $- in # see /usr/share/doc/bash/examples/startup-files (in the package bash-doc) # ~/.bashrc: executed by bash(1) for non-login shells. Python: /usr/bin/python /usr/bin/python3.5m /usr/bin/python3.5 /usr/bin/python2.7-config /usr/bin/python2.7 /usr/lib/python3.5 /usr/lib/python2.7 /etc/python /etc/python3.5 /etc/python2.7 /usr/local/lib/python3.5 /usr/local/lib/python2.7 /usr/include/python3.5m /usr/include/python2.7 /usr/share/python /home/haziq/anaconda3/bin/python /home/haziq/anaconda3/bin/python3.6-config /home/haziq/anaconda3/bin/python3.6 /home/haziq/anaconda3/bin/python3.6m-config /home/haziq/anaconda3/bin/python3.6m /usr/share/man/man1/python.1.gz Then I launch python by typing python but it still says that I am using python 2.7.Īnaconda: /home/haziq/anaconda3/bin/anaconda Then I create a new environment conda create -n python35 python=3.5 anaconda I installed anaconda using bash ~/Downloads/Anaconda3-5.1.0-Linux-x86_64.sh. Join today and get 150 hours of free compute per month.I am using ubuntu 16.04. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Includes step-by-step instructions and code snippets. KeywordsĪ comprehensive guide for data scientists on how to install TensorFlow with Python 3.5 and Anaconda. Stay tuned for our next guide, where we’ll dive deeper into TensorFlow and explore how to build and train your first machine learning model. With practice and patience, you’ll soon be able to harness the full power of TensorFlow. Don’t be discouraged if you encounter difficulties at first. Remember, TensorFlow is a powerful tool for data scientists, but it’s also complex. You’re now ready to start building machine learning models with TensorFlow. ConclusionĬongratulations! You’ve successfully installed TensorFlow with Python 3.5 and Anaconda. This will start the Jupyter Notebook server and open a new tab in your default web browser. Use the following command to create a new environment named tensorflow_env with Python 3.5: ![]() Step 1: Create a New Anaconda EnvironmentĬreating a new environment in Anaconda isolates your TensorFlow installation from other Python packages, preventing conflicts. This guide assumes that you’re familiar with Python and have a basic understanding of machine learning concepts. If not, you can download it from the official Anaconda website. Prerequisitesīefore we begin, ensure that you have Anaconda installed on your system. ![]() In this guide, we’ll walk you through the process of installing TensorFlow with Python 3.5 and Anaconda, a popular Python distribution for data science. ![]() Python, with its vast ecosystem of libraries and tools, is the preferred language for TensorFlow. In the world of data science, TensorFlow has emerged as a leading platform for building and deploying machine learning models. | Miscellaneous Installing TensorFlow with Python 3.5 and Anaconda: A Guide
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