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Maybe unpopular opinion, but... if you're not interested in learning DSA with any form of rigidity, you don't have to learn those right out the gate. Just get your feet through the door. Build a small project, automate something - you will learn about your chosen language's data structures by default. If there comes a point in time where you're expected to know about DSA, you'll probably have found the reasons/motivation by then
definitely. you can keep pushing forward on topics that reward you, and use that to passively pick up datastructures without the focus or name. then later you can re-formalize it and understand why what you were already doing was reinforcing datastructures, etc, and have a jumping off point to expand that.
Same way botany tends to work. Focus on field work, learn about biomes, learn the easy parts of flower morphology and ecology, then later you can start getting more into systematics and taxonomy. Starting by feeding the dopamine beast is often a great way to get into a new field.