#Macports install python 3.6 install#

python -versionĢ - Another good way to test your installation is to try and open a Jupyter Notebook. If you had chosen a Python 2 version of Anaconda, you should get a similar output to the one below. If you had chosen a Python 3 version of Anaconda (like the one in the image above), you will get an output similar to above. Now, type the following command into your terminal python -version You can do this by clicking on the Spotlight magnifying glass at the top right of the screen, type “terminal” then click on the terminal icon. Close the installer and move it to the trash.ġ - Open a new terminal on your Mac. You can learn about Python Integrated Development Environments here.ġ0 - You should get a screen saying the installation has completed. It is an Integrated Development Environment.

#Macports install python 3.6 install#

You can install Microsoft Visual Studio Code if you like, but it is not required. After you enter your password, click on Install Software.ĩ - Click on Continue. You will need to read and click Agree to the license agreement before clicking on Continue again.Ĩ - You’ll be prompted to give your password, which is usually the one that you also use to unlock your Mac when you start it up. Click on Continue.Ħ - Click on Continue to get the License Agreement to appear. Do not choose both.Ģ - Locate your download and double click it.ĥ - Note that when you install Anaconda, it modifies your bash profile with either anaconda3 or anaconda2 depending on what Python version you choose.

If you aren’t sure which Python version you want to install, choose Python 3. Installing Anaconda using a graphical installer is probably the easiest way to install Anaconda.ġ ‒ Go to the Anaconda Website and choose a Python 3.x graphical installer (A) or a Python 2.x graphical installer (B).

An installation of Anaconda comes with many packages such as numpy, scikit-learn, scipy, and pandas preinstalled and is also the recommended way to install Jupyter Notebooks.

Anaconda is a package manager, an environment manager, and Python distribution that contains a collection of many open source packages.