how to install numpy for python 3.6 on mac

For MacOS user: touch hello-tf.yml A new file named hello-tf.yml should appear inside anaconda3 For Windows user: echo.hello-tf.yml A new file named hello-tf.yml should appear Step 4) Edit the yml file For MacOS user: You are ready to edit the yml file.

TensorFlow Versions TensorFlow supports computations across multiple CPUs and GPUs.

With parallelization, you dont need to wait for weeks to obtain the results of training algorithms.

For Windows user, TensorFlow provides two versions: TensorFlow with CPU support only: If your Machine does not run on NVIDIA GPU, you can only install this version TensorFlow with GPU support: For faster computation, you can use this version of TensorFlow.

This version makes sense only if you need strong computational capacity.

During this tutorial, the basic version of TensorFlow is sufficient.

Numpy For Python 3.6 On How To Proceed MacOS

Here is how to proceed MacOS User: Install Anaconda Create a.yml file to install Tensorflow and dependencies Launch Jupyter Notebook For Windows Install Anaconda Create a.yml file to install dependencies Use pip to add TensorFlow Launch Jupyter Notebook To run Tensorflow with Jupyter, you need to create an environment within Anaconda.

It means you will install Ipython, Jupyter, and TensorFlow in an appropriate folder inside our machine.

On top of this, you will add one essential library for data science: Pandas.

Numpy For Python 3.6 On Download Anaconda Version

Install Anaconda Download Anaconda version 4.3.1 (for Python 3.6) for the appropriate system.

Anaconda will help you to manage all the libraries required either for Python or R.

Refer this tutorial to install Anaconda Create.yml file to install Tensorflow and dependencies It includes Locate the path of Anaconda Set the working directory to Anaconda Create the yml file (For MacOS user, TensorFlow is installed here) Edit the yml file Compile the yml file Activate Anaconda Install TensorFlow (Windows user only) Step 1) Locate Anaconda The first step you need to do is to locate the path of Anaconda.

You will create a new conda environment that includes the necessaries libraries you will use during the tutorials about TensorFlow.

Windows If you are a Windows user, you can use Anaconda Prompt and type: C:where anaconda 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.

For instance, in the picture above, Anaconda is installed in the Admin folder.

MacOS for MacOS user, you can use the Terminal and type: which anaconda You will need to create a new folder inside Anaconda which will contains Ipython, Jupyter and TensorFlow.

A quick way to install libraries and software is to write a yml file.

Step 2) Set working directory You need to specify the working directory where you want to create the yml file.

For MacOS user: The Terminal sets the default working directory to UsersUSERNAME.

As you can see in the figure below, the path of anaconda3 and the working directory are identical.

The Terminal will install all the libraries in this working directory.

If the path on the text editor does not match the working directory, you can change it by writing cd PATH in the Terminal.

Open your Terminal, and type: cd anaconda3 For Windows user (make sure of the folder before Anaconda3): cd C:UsersAdminAnaconda3 or the path where anaconda command gives you Step 3) Create the yml file You can create the yml file inside the new working directory.

The file will install the dependencies you need to run TensorFlow.

How To Install Numpy For Python 3.6 On Mac