Install Python & Conda:
Conda package manager gives you the ability to create multiple environments with different versions of Python and other libraries. This becomes useful when some codes are written with specific versions of a library. For example, you define your default TensorFlow environment with python 3.5 and TensorFlow 1.6 with GPU by the name tensorflow. However, you may find another code that runs in python2.7 and has some functions that work with TensorFlow 1.2 with CPU. You can easily create a new environment and name it for example tf-12-cpu-py27. In this way you don’t mess with your default environment and you can create multiple environments for multiple configurations. The figure below might give you some hints:
To install the Anaconda follow these steps:
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Download the installer from here.
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Select the proper operating system.
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Download the python 3.6 installer:
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Follow the instructions on installation in here.
*Note: Remember the path that you are installing the Anaconda into. You will later need it for setting the path in PyCharm (we'll dive into it soon).
(For Windows): Make sure to select "Add Anaconda to my PATH environment variable".
*Note: If you wanna learn more about Anaconda, watch this amazing video which explains it thoroughly.
Thanks for reading! If you have any question or doubt, feel free to leave a comment. To download jupyter notebooks and fork in github please visit our github.
https://github.com/easy-tensorflow/easy-tensorflow