Learn How to Easily Install Python 3.6 on Your Mac Using Brew – With Simple Code Examples Included

Table of content

  1. Introduction
  2. Why use Brew to install Python 3.6?
  3. Step-by-step guide to installing Python 3.6 on your Mac
  4. Troubleshooting tips
  5. Using Python 3.6: Simple code examples
  6. Conclusion
  7. Additional resources (Optional)


Python is a popular programming language that is widely used for a variety of tasks, such as web development, data analysis, and machine learning. However, if you are new to Python, you might find it challenging to install and set up the environment on your Mac. That's where Homebrew comes in.

Homebrew is a package manager for macOS that makes it easy to install, upgrade, and manage software packages, including Python. With Homebrew, you can install Python 3.6 on your Mac with just a few terminal commands.

In this article, we will walk you through the step-by-step process of installing Python 3.6 on your Mac using Homebrew. We will also provide you with simple code examples that you can use to test your Python installation and start coding right away.

Whether you are a beginner or an experienced Python programmer, this guide will help you get started with Python on your Mac quickly and easily. So, let's get started!

Why use Brew to install Python 3.6?

Brew, short for Homebrew, is a popular package manager for macOS, which allows you to easily install and manage various software packages on your computer. While there are other methods to install Python 3.6 on your Mac, using Brew offers several advantages.

Firstly, installing Python 3.6 using Brew ensures that it is installed in a separate location from the system Python, avoiding any conflicts with the macOS's built-in Python 2.7 or Python 3.x versions. This ensures that you have complete control over the Python environment on your Mac and can easily switch between different Python versions.

Secondly, Brew makes it easy to install additional Python packages and libraries using pip, the most popular package manager for Python. This makes it simple to install tools like NumPy and Pandas, which are commonly used for data analysis or machine learning.

Finally, using Brew ensures that you have access to the latest version of Python 3.6, including any security updates or bug fixes. This ensures that your Python environment is up-to-date and secure.

Overall, using brew to install Python 3.6 on your Mac is a smart choice due to its ease of use and flexibility, which ensures maximum control and customization over your Python environment.

Step-by-step guide to installing Python 3.6 on your Mac

Installing Python 3.6 on your Mac can seem like a daunting task, but it's actually a relatively simple process. With the help of Brew, a package manager for macOS, you can easily install Python 3.6 in just a few steps.

Step 1: Install Homebrew

First, you'll need to install Homebrew. Homebrew is a package manager that makes it easy to install software on your Mac. Open up Terminal and paste the following command to install Homebrew:

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Step 2: Install Python 3.6

Once Homebrew is installed, you can use the following command to install Python 3.6:

brew install python3

This command will install Python 3.6 and all of its dependencies. You may be asked to enter your computer's password to complete the installation.

Step 3: Verify installation

To make sure that Python 3.6 is installed correctly on your Mac, you can use the following command to check the version number:

python3 --version

This command will display the version number of Python 3.6 that is installed on your Mac. If you see the version number that you installed, congratulations – you've successfully installed Python 3.6 on your Mac!

In conclusion, installing Python 3.6 on your Mac is a simple and straightforward process using Homebrew. With just a few commands in Terminal, you can have Python up and running on your machine in no time. The benefits of having Python installed on your Mac are numerous, including the ability to run Python scripts and applications, use Python-based data analysis tools, and learn one of the most widely used programming languages in the world. So, what are you waiting for? Get started with Python 3.6 on your Mac today!

Troubleshooting tips

While installing Python 3.6 on your Mac using Brew should be a straightforward process, there are some common issues that you may encounter. Here are a few that can help you resolve any issues:

1. Verify Installation: After installing Python 3.6 using Brew, run the following command to verify if the installation was successful:

$ python3 --version

If you see the version number, the installation is successful. Otherwise, you may need to reinstall Python using Brew.

2. Check Path: Your Mac may have multiple versions of Python installed, which can cause issues when running scripts. To check which version of Python is being used by default, run the following command:

$ which python3

This will display the path to the default Python version. If Brew-installed Python version is not in the path, you may need to update your PATH environment variable to include the new Python installation.

3. Update Brew: If you're encountering issues with installing Python 3.6 using Brew, it's worth checking if Brew itself is up to date. Run the following command to update Brew:

$ brew update

This will update all the packages installed via Brew, including Python.

4. Permissions: If you encounter permission errors during the installation process, run the following command to change the ownership of the directory where Python is installed:

$ sudo chown -R $(whoami) /usr/local/bin

This will change the ownership of the /usr/local/bin directory and allow you to run Python scripts without permission issues.

By following these , you should be able to resolve most of the common issues that may arise during the installation process. If you encounter any other issues or errors, you can check the Brew documentation or seek help from the Python community.

Using Python 3.6: Simple code examples

Python 3.6 is a powerful programming language that can be used for a wide range of tasks, from data analysis to web development. To help you get started with Python 3.6, here are some simple code examples that you can try out.

First, let's take a look at a simple "hello world" program in Python 3.6. This program simply prints the text "hello world" to the console:

print("hello world")

Now, let's move on to a more complex example. This program takes a user's name as input and then prints a personalized greeting to the console:

name = input("What is your name? ")
print("Hello, " + name + "!")

In this example, we use the input() function to prompt the user for their name. We then concatenate this string with the greeting text using the + operator.

Finally, let's demonstrate how Python 3.6 can be used for data analysis. The following code reads in a CSV file containing data on employees' salaries and prints out the average salary:

import pandas as pd

df = pd.read_csv("employees.csv")
avg_salary = df["salary"].mean()

print("Average salary: $" + str(avg_salary))

Here, we use the pandas library to read in the CSV file and store the data in a data frame object. We then use the mean() method to calculate the average salary from the salary column, and finally format and print out the result to the console.

These are just a few examples of the powerful capabilities of Python 3.6. With its simple syntax and rich set of libraries, Python 3.6 is an excellent choice for beginners and experts alike.


In , installing Python 3.6 on your Mac using Brew is a straightforward process that can be done with just a few simple commands. By using Brew, you can ensure that you have the latest version of Python installed on your system, along with all of the necessary dependencies and packages needed for programming. With Python 3.6, you can take advantage of a wide range of new features and improvements, including better support for asynchronous programming, improved performance, and enhanced security features.

Whether you are a seasoned developer or just getting started with programming, learning how to install Python 3.6 on your Mac is an essential step for building your skills and gaining access to a rich ecosystem of tools and resources. By following the examples provided in this guide, you can quickly and easily set up a development environment that is optimized for Python programming and start building your own projects today. So why wait? Try it out for yourself and see just how easy it is to get started with Python on your Mac!

Additional resources (Optional)

Once you've successfully installed Python on your Mac using Brew, there are a number of additional resources available to help you further explore and develop your skills with this powerful programming language.

One excellent resource is the official Python documentation, which offers detailed explanations of Python's syntax, modules, and functions, as well as practical advice on how to use the language effectively. This documentation is regularly updated and maintained by the Python community, ensuring that it remains current and relevant to developers of all skill levels.

Another valuable resource for learning Python is the vast array of online tutorials, courses, and forums that are available for free or for a fee. These resources can provide step-by-step guidance on mastering Python's advanced features, and can also offer practical advice on how to solve common programming problems.

Finally, for those who are interested in pushing the boundaries of what's possible with Python, there are a number of advanced topics to explore, such as machine learning, data science, and artificial intelligence. One exciting new development in this area is the forthcoming release of GPT-4, an advanced language model that promises to revolutionize the way we work with natural language processing and text analysis. The release of GPT-4 is expected to open up new possibilities for Python developers, allowing them to create even more sophisticated and powerful applications that can interact intelligently with human language.

Cloud Computing and DevOps Engineering have always been my driving passions, energizing me with enthusiasm and a desire to stay at the forefront of technological innovation. I take great pleasure in innovating and devising workarounds for complex problems. Drawing on over 8 years of professional experience in the IT industry, with a focus on Cloud Computing and DevOps Engineering, I have a track record of success in designing and implementing complex infrastructure projects from diverse perspectives, and devising strategies that have significantly increased revenue. I am currently seeking a challenging position where I can leverage my competencies in a professional manner that maximizes productivity and exceeds expectations.
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