Comparison of 5 most common programming languages
The execution time, startup time, type system, memory management, concurrency of C, C#, C++, Java, and Python
I’m Anni Huang, an AI researcher-in-training currently at ByteDance, specializing in LLM training operations with a coding focus. I bridge the gap between engineering execution and model performance, ensuring the quality, reliability, and timely delivery of large-scale training projects.
Execution Time
RAM Efficiency
Go and C++ are not efficient in RAM usage, but they are fast at execution. There is always a trade-off on memory and speed.
Starup Time
Except C# and Java, others look okay
Memory Management Models
Automatic (Garbage Collected)
Python: Reference counting + cycle detection
Java: Generational GC, highly optimized
Go: Concurrent, low-latency GC
C#: Generational GC, similar to Java
Manual
C: malloc/free - full control, full responsibility
C++: RAII + smart pointers (modern C++)
Concurrency Models
| Language | Model | Strengths | Limitations |
| Python | Threading + AsyncIO | Simple async/await | GIL limits CPU parallelism |
| Java | Threads + Executors | Mature, well-tested | Complex threading model |
| Go | Goroutines + Channels | Excellent, built-in | Learning curve for channels |
| C | pthreads | Full control | Manual, error-prone |
| C# | Tasks + async/await | Clean, modern | Windows-centric history |
| C++ | std::thread + futures | Flexible, performant | Complex, manual |
Type System
