Streamline Your PhD Workflow: Step-by-Step Guide for Using Conda To Manage Your Dev Environments
Ever had conflicting Python versions wreak havoc on your development environment? Need a way to keep dependency versions from stomping on each other? Enter Conda environments! 🌟 Why Watch? As a PhD student myself, I’ve faced the same challenges you’re likely encountering—managing tools and packages without disrupting my research. Conda has been a game-changer for me, and it can be for you too! In this video, we'll go over the basics of using Conda and troubleshoot a common issue with Conda's base environment. Easily follow along in your own terminal window! This video assumes you have Conda installed already. If you have not installed Conda yet, you can get installation instructions here: https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html 💡 Don’t Miss Out! If you found this tutorial helpful, please like the video, subscribe for more research-related tips, and leave a comment about how you use Conda in your projects! Chapter Guide 00:00 Using Different Python Versions 02:10 Create A New Conda Environment 02:41 Activate Your New Environment 03:20 Conda Install Packages 04:00 What To Do When Packages Not Found 04:55 How to Fix and Avoid Future Problems with Conda Environments System Used: Linux Ubuntu 20.04