When you run the following command, you should see three environments if everything went well:Ĭonda create -n tf-2.0 tensorflow-gpu pip ipykernelĬonda create -n tf-1.15 tensorflow-gpu=1.15 pip ipykernelĪnaconda is a useful package that already includes a number of Python packages and provides for a quick entry into the Python world. We may use the following command to build a new conda environment. Add “-gpu” to TensorFlow to use the GPU version otherwise, leave it alone. ANACONDA3 INOTEBOOK INSTALLLet’s imagine you want to use Jupyter Notebook to install both Tensorflow 2.0 and Tensorflow 1.15.įirst, decide whether you want to utilise Tensorflow on the GPU or the CPU for this example. ANACONDA3 INOTEBOOK HOW TOHow to create an environment in Conda and Jupyter? If you’re using Python 3.5, then the command is print(“Hello, World!”). To get started (for Python 2.7), type print “Hello, World!” in the first cell and hit CTRL+Enter. You can have many notebooks open in many tabs.
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