How To Numpy For Python 3.6 Mac

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  • Homebrew is a package manager for Mac OS X. Here's how to install it beforehand. Next, let's upgrade our default installation of Python to something greater than 2.7. Step 1 - Install Libraries Pip. Pip is a package manager for Python. Easyinstall pip.
  • This Python Numpy tutorial for beginners talks about Numpy basic concepts, practical examples, and real-world Numpy use cases related to machine learning and data science What is NumPy? NumPy in python is a general-purpose array-processing package. It stands for Numerical Python. NumPy helps to create arrays (multidimensional arrays), with the help of bindings of C. Therefore, it is quite.

Being a software engineer, you often come across many instances where you would require to have Python installed on your Mac.

However, the issue is most modern macOS versions come with rather with Python 2.7.x installed and not the newer, modern version like Python 3.6.5 or Python 3.7.2 (which is the most up-to-date version right now).

This short guide is written to show you how to properly install Python 3 on a Mac OS Xcomputer.

Before you jump into the guide, do take note that there are multiple ways to install Python 3 on a Mac but with this guide, I’ll show you the two easiest ways to do this, step-by-step.

Personally, the way I did it was using a package manager like HomeBrew (it’s okay if you don’t understand what it is). Again, I’ll show you how to do this method down below.

Packages have been ported to. Note 2: All versions of. Mac OS X come with Python 2.7 already installed for their own needs. Version of Python must not be deleted or disturbed when installing Python. And its packages. Please follow these instructions exactly to avoid corrupting Python 2.7. Conda list grep numpy numpy 1.18.1 py37h7241aed0 numpy-base 1.18.1 py1 numpydoc 0.9.2 py0 Conclusion All of the above methods are useful to check the Numpy version on Mac, Linux, and Windows.

Wait, how do I check if Python 3 is already installed on my Mac?

Simple. Open up your Terminal and type the following line python --version and then hit your Enter key:

You should see the python version that is currently installed on your Mac.

How to Install Python 3 on macOS: 2 Ways

1. The Simplest Way.

Perhaps the simplest way to install Python 3 on macOS.

This is for you especially if you’re a newbie (though I still strongly recommend you try the HomeBrew method below) or if you don’t want to deal with copy-pasting code into your Terminal and downloading other software.

Here’s how to install Python 3 on your macOS:

  1. Jump into Python.org downloads page and simply just download the latest Python version.
  1. Next, run the Python Installer to install Python 3 onto your Mac.

Note

The Python installation may require about 100MB of disk space to install. Once you’ve installed Python 3 you can have it alongside Python 2 without having to delete the latter from your Mac.

  1. Great! Now once Python 3 is installed, you’ll be able to find it within the Applications directory of your Mac. You’ll also find here a simple IDE called “IDLE.app” which gives you a basic Python IDE.
Help! Where do I find the Applications directory?

If you can’t find the Applications directory, simply go to Finder by clicking the Finder icon in the Dock (it’s usually the first icon from the left side of the Dock). From there simply, go to the Go menu and select Applications.

How To Numpy For Python 3.6 Mac

Done. If you got yourself lost through the process, you can comment down below.

Next up, I’ll show you how you can install Python 3 using HomeBrew onto your macOS. This is my preferred way and it is just as simple as the method before but it will make your life a whole lot simpler, in the long run, using Python.

2. Install Python 3 on Mac using HomeBrew.

This method is dead-ass simple and a little fun. 🙂

First of all, you’ll need to have this thing called HomeBrew installed on your Mac. Homebrew is basically a “package manager”. A package manager is an application that helps you install the stuff you need that Apple (or even your Linux System) hadn’t installed in the first place for you.

It’s simple, fast and safe.

Second, you will need to have installed XCode onto your Mac. If you’re thinking of learning how to program or creating iOS apps on your Mac, then it’s good to have XCode installed. We will be using XCode to install HomeBrew application.

Note

If you have already installed XCode onto your Mac you can skip step 1 and jump straight to step 3.

Here are the steps to install XCode, HomeBrew as well as install Python 3 using HomeBrew onto your Mac:

  1. Jump into your Terminal app on your Mac and run the copy/paste the following command into the Terminal to install XCode onto your Mac:
  2. Simply click through all the confirmation crap that XCode shows. It may take a little while to install XCode since it is a large program.
  3. Great! Now that you have XCode installed, you can install HomeBrew! To install HomeBrew, simply copy/paste the following command into your Terminal:

Note

You can confirm the HomeBrew installed correctly by running the command: below:

  1. You’ve installed HomeBrew! Now let’s install the Python 3, the reason why you’re here. To install the latest version of Python, just copy/paste the following command into your Terminal:

Note

You can confirm which version of Python was installed all by running the command below (the exact same command you tried earlier in this guide). It should show up as follows:

  1. Finally, let’s run our new Python 3. Simply enter python3.

Voila! You have now installed Python 3 successfully if you see something similar in your Terminal:

Bonus

•If you want to exit, type exit() and then hit your Return button on your keyboard. You can also hit both Control and D keys at the same time instead of the Return key.

•Remember I mentioned you can run both your new Python 3 alongside your old Python 2? Yup. Simply type python into the Terminal to run with Python 2.

Share this guide with someone who’s looking to install Python 3 on macOS.

  • Keras Tutorial
  • Keras Useful Resources
  • Selected Reading

This chapter explains about how to install Keras on your machine. Before moving to installation, let us go through the basic requirements of Keras.

Prerequisites

You must satisfy the following requirements −

  • Any kind of OS (Windows, Linux or Mac)
  • Python version 3.5 or higher.

Python

Keras is python based neural network library so python must be installed on your machine. If python is properly installed on your machine, then open your terminal and type python, you could see the response similar as specified below,

As of now the latest version is ‘3.7.2’. If Python is not installed, then visit the official python link - www.python.org and download the latest version based on your OS and install it immediately on your system.

Keras Installation Steps

Keras installation is quite easy. Follow below steps to properly install Keras on your system.

Step 1: Create virtual environment

Virtualenv is used to manage Python packages for different projects. This will be helpful to avoid breaking the packages installed in the other environments. So, it is always recommended to use a virtual environment while developing Python applications.

Linux/Mac OS

Linux or mac OS users, go to your project root directory and type the below command to create virtual environment,

After executing the above command, “kerasenv” directory is created with bin,lib and include folders in your installation location.

Windows

Windows user can use the below command,

Step 2: Activate the environment

This step will configure python and pip executables in your shell path.

Linux/Mac OS

Now we have created a virtual environment named “kerasvenv”. Move to the folder and type the below command,

Windows

Windows users move inside the “kerasenv” folder and type the below command,

Step 3: Python libraries

Keras depends on the following python libraries.

  • Numpy
  • Pandas
  • Scikit-learn
  • Matplotlib
  • Scipy
  • Seaborn

Hopefully, you have installed all the above libraries on your system. If these libraries are not installed, then use the below command to install one by one.

numpy

you could see the following response,

pandas

We could see the following response,

matplotlib

We could see the following response,

scipy

How To Numpy For Python 3.6 Machine Learning

We could see the following response,

scikit-learn

It is an open source machine learning library. It is used for classification, regression and clustering algorithms. Before moving to the installation, it requires the following −

  • Python version 3.5 or higher
  • NumPy version 1.11.0 or higher
  • SciPy version 0.17.0 or higher
  • joblib 0.11 or higher.

Now, we install scikit-learn using the below command −

Seaborn

Seaborn is an amazing library that allows you to easily visualize your data. Use the below command to install −

You could see the message similar as specified below −

Keras Installation Using Python

As of now, we have completed basic requirements for the installtion of Kera. Now, install the Keras using same procedure as specified below −

Quit virtual environment

After finishing all your changes in your project, then simply run the below command to quit the environment −

Anaconda Cloud

We believe that you have installed anaconda cloud on your machine. If anaconda is not installed, then visit the official link, www.anaconda.com/distribution and choose download based on your OS.

Create a new conda environment

Launch anaconda prompt, this will open base Anaconda environment. Let us create a new conda environment. This process is similar to virtualenv. Type the below command in your conda terminal −

If you want, you can create and install modules using GPU also. In this tutorial, we follow CPU instructions.

Activate conda environment

To activate the environment, use the below command −

Install spyder

Spyder is an IDE for executing python applications. Let us install this IDE in our conda environment using the below command −

Install python libraries

We have already known the python libraries numpy, pandas, etc., needed for keras. You can install all the modules by using the below syntax −

Syntax

For example, you want to install pandas −

Like the same method, try it yourself to install the remaining modules.

Install Numpy Windows Python 3.6

Install Keras

Install Numpy

Now, everything looks good so you can start keras installation using the below command −

How To Numpy For Python 3.6 Macro

Launch spyder

How To Numpy For Python 3.6 Macros

Finally, launch spyder in your conda terminal using the below command −

To ensure everything was installed correctly, import all the modules, it will add everything and if anything went wrong, you will get module not found error message.