How to Configure and Run Spyder Python Editor in Virtual Environments

#python #spyder #anaconda #machinelearning #python #vscode #programming #linux #ubuntu #aleksandarhaber #ros #ros2 #robotics #Cpp #engineering It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way: - Buy me a Coffee: https://www.buymeacoffee.com/AleksandarHaber - PayPal: https://www.paypal.me/AleksandarHaber - Patreon: https://www.patreon.com/user?u=32080176&fan_landing=true - You Can also press the Thanks YouTube Dollar button What is covered in this tutorial: In this Python tutorial, we explain how to correctly run Spyder Python editor in virtual environments and how to install custom Python packages in Spyder. Motivation: Although I am big fan of VS Code, I still think that Spyder is easier for the development of scientific software and for debugging. Maybe this is my personal preference due to the fact that I spent a significant amount of time during my PhD working in MATLAB. Since Spyder is developed for scientific computing, for me, Spyder seems like a natural Python development environment. On the other hand, my suggestion is to use virtual environments whenever you can. By using them, you can have precise control of all the packages that your software relies upon. You can be confident that your software will work on other platforms as long as the required packages and their versions are installed from scratch in the virtual environment. Also, by using virtual environments you can avoid version conflicts with the base Python or Anaconda environments. However, I have struggled a lot to figure out how to properly run Spyder inside of user-defined virtual environments. Finally, I figured out how to properly configure Spyder such it can recognize the virtual environment and execute the code inside of the virtual environment. I am sharing with you my knowledge and experience, so you can save time and become a more productive developer.