In this Python Programming Tutorial, I will be showing how I personally manage multiple projects, virtual environments, and environment variables. If you have ever worked on multiple projects, you probably know that it can be a hassle to keep all of your dependencies and project information separate. The strategy I have adopted over the years allows me to easily separate out my environments in such a way that they can be easily exported, activated, and also automatically activate the correct environment variables. Let's get started... The workflow I follow: https://conda.io/docs/user-guide/tasks/manage-environments.html Anaconda Intro Video: https://youtu.be/YJC6ldI3hWk The original conda_auto_env code I modified can be found here: https://github.com/chdoig/conda-auto-env/blob/master/conda_auto_env.sh My modified version of conda_auto_env: https://github.com/CoreyMSchafer/code_snippets/blob/master/conda_auto_env.sh ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python