Learning to code is a valuable skill that can lead to higher income and enjoyable work.
The author shares their journey as a data scientist and machine learning engineer for 4 years.
Starting with Fortran in physics undergrad, the author struggled initially but later found passion in coding.
Transitioning to AI and learning Python and SQL opened new career paths for the author.
Choosing a language based on career goals, like Python for AI, is recommended.
Emphasizing hands-on projects over excessive tutorials is advised for faster learning.
Focus on mastering fundamentals like data types, design patterns, and problem-solving skills over chasing trends.
Documenting learning publicly on platforms like GitHub and LinkedIn can enhance career prospects.
AI is seen as a tool rather than a threat to coding professions in the foreseeable future.
Avoiding distraction from shiny new technologies and focusing on consistent learning and skill-building can pave the way for a successful coding career.