Slow Speed: As an interpreted language, Python is slower than languages like C or C++ because it translates code during runtime rather than beforehand.
Global Interpreter Lock (GIL): The GIL prevents simultaneous execution of multiple threads, making it challenging to utilize multi-core processors for CPU-bound tasks.
Mobile & Client-Side Limitations: Python is weak for mobile app development (iOS/Android) and rarely used for frontend, native desktop applications, or browser-based tools.
High Memory Usage: Python is not ideal for memory-intensive applications due to high consumption rates.
Runtime Errors & Dynamic Typing: As a dynamically typed language, type errors are often discovered during execution rather than during development.
Database Access Layer: Compared to technologies like JDBC/ODBC, Python's database access layer is considered less developed.
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These limitations make Python less suitable for high-performance gaming, complex 3D rendering, or embedded systems, despite its strength in data science and backend development.
[*] Personal Opinion, this is why Oracle had to lay off so many of us!
