I'm completely new to programming and eventually want to study machine learning. I'm deciding whether to begin with Python or C++, but the course I'm considering is expensive, so I want to choose something that will genuinely help me. Some people say C++ provides a deeper understanding of programming, while others recommend starting with Python because of its extensive machine-learning ecosystem. If I may learn both eventually, which one should I learn first and why?
3 Answers
You can eventually learn both, but use them for different goals. Begin with Python because the machine-learning ecosystem and learning resources are much stronger there. Later, study C++ if you want to understand memory, hardware interaction, embedded systems, or how high-performance ML libraries are implemented. Don’t feel pressured to buy an expensive course immediately—begin with affordable or free introductory programming material and make sure you enjoy the subject first.
Python is the more practical starting point for machine learning. C++ is a great language and is useful for performance-critical systems, embedded development, and understanding lower-level concepts, but it can be unnecessarily difficult for someone who is just learning to program. You can always add C++ later once you have a solid foundation.
It can teach you lower-level details, but those details aren’t required before learning the basics. Learn core concepts such as variables, control flow, functions, data structures, and debugging in Python first, then explore C++ when you have a specific reason to use it.
Start with Python. Most machine-learning tools, tutorials, and libraries are built around it, so you can focus on learning programming and understanding ML concepts instead of dealing with compiler details and memory management right away.
I’ve heard that beginning with C++ might give me a deeper understanding of programming, so I wasn’t sure whether starting with Python would leave gaps in my fundamentals.