As you can see in the figure below, the path of anaconda3 and the working directory are identical. The Terminal sets the default working directory to Users/USERNAME. You need to specify the working directory where you want to create the yml file.Īs said before, it will be located inside Anaconda.
#Install jupyter notebook to anaconda enviornment install
A quick way to install libraries and software is to write a yml file. You will need to create a new folder inside Anaconda which will contains Ipython, Jupyter and TensorFlow. In the next, we will set the working directory from c:\ to Anaconda3.įor MacOS user, you can use the Terminal and type: which anaconda For instance, in the picture above, Anaconda is installed in the Admin folder. We are interested to know the name of the folder where Anaconda is installed because we want to create our new environment inside this path. If you are a Windows user, you can use Anaconda Prompt and type: C:\>where anaconda You will create a new conda environment that includes the necessaries libraries you will use during the tutorials about TensorFlow.
The first step you need to do is to locate the path of Anaconda. Create the yml file (For MacOS user, TensorFlow is installed here).yml file to install Tensorflow and dependencies Refer this tutorial to install Anaconda Create. Install Anacondaĭownload Anaconda version 4.3.1 (for Python 3.6) for the appropriate system.Īnaconda will help you to manage all the libraries required either for Python or R. The Pandas library helps to manipulate a data frame. On top of this, you will add one essential library for data science: “Pandas”. It means you will install Ipython, Jupyter, and TensorFlow in an appropriate folder inside our machine. To run Tensorflow with Jupyter, you need to create an environment within Anaconda.
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