The Differences Between Python3 on Ubuntu vs Mac: A Comprehensive Guide

Python is a versatile programming language that can be installed and used on various operating systems, including Linux and macOS. However, when it comes to installing Python packages, such as pandas, there are some key differences between the two platforms. In this article, we will explore the differences between installing Python3 on Ubuntu vs Mac and provide you with a comprehensive guide on how to get started.

Installing Python Packages: A Comparison

One of the main differences between installing Python packages on Ubuntu vs Mac is the way you install them. On Ubuntu, you can use pip, which is the default package manager for Python, to install packages such as pandas. You can simply run the command `pip install pandas` in your terminal and you will be able to install pandas.

On the other hand, on a Mac, you can also use pip to install pandas, but you may need to use conda, which is a package manager developed by Anaconda, Inc., as well. This is because some packages, such as pandas, are not available in the standard Python repository and require conda to be installed.

Using Sudo: A Necessity on Ubuntu

Another key difference between installing Python packages on Ubuntu vs Mac is the use of sudo. On Ubuntu, you need to use sudo to install packages using pip or conda, as the default directory for installing packages is in the system directory where you may not have permission to write files.

On a Mac, however, you do not need to use sudo to install packages using pip or conda, as the default directory for installing packages is in your home directory, which you have permission to write files.

Creating Conda Environments: A Different Approach

If you want to create a conda environment and then install pandas, the process is different on Ubuntu vs Mac. On Ubuntu, you need to use the following command `conda create -n myenv` followed by `conda activate myenv` and then `pip install pandas`. This will create a new conda environment called 'myenv' and install pandas.

On a Mac, however, you can simply run the following command `conda create --name myenv` followed by `conda activate myenv` and then `pip install pandas`.

In conclusion, installing Python3 on Ubuntu vs Mac has some key differences, especially when it comes to installing packages such as pandas. On Ubuntu, you need to use sudo to install packages using pip or conda, while on a Mac, you can simply use pip or conda without needing to use sudo. Additionally, creating conda environments is different on the two platforms.

By following this guide, you should be able to successfully install Python3 and pandas on both Ubuntu and Mac, as well as create conda environments for your projects.

Differences between python3 on ubuntu vs mac