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installing tensorflow in python 3.5/3.6

tensorflow is a popular open-source machine learning library developed by google. it provides tools for building and training various machine learning models. here's a step-by-step guide on how to install tensorflow in python 3.5 or 3.6:

step 1: install python 3.5/3.6

if you don't have python 3.5 or 3.6 installed on your system, you can download it from the official python website: [python downloads](https://www.python.org/downloads/)

step 2: create a virtual environment (optional but recommended)

it's a good practice to create a virtual environment to manage dependencies for different projects. you can create a virtual environment using the following commands:



step 3: install tensorflow

you can install tensorflow using pip, which is the python package installer. here are the commands to install tensorflow in python 3.5 or 3.6:



step 4: verify the installation

you can verify if tensorflow is installed correctly by running the following python code in a python interpreter:



if tensorflow is installed successfully, you should see the version number printed on the console.

example code using tensorflow

here's a simple code example that demonstrates how to create a basic tensorflow graph and run a session:



conclusion

in this tutorial, you learned how to install tensorflow in python 3.5 or 3.6 and ran a simple code example to test the installation. tensorflow provides a powerful platform for building machine learning models, and with this installation guide, you can start exploring its capabilities in python.

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