Why is Python so bad?
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That’s a fair question—while Python is extremely popular, it’s not perfect. Like any tool, it has trade-offs. Here's an honest look at why some people consider Python "bad" or limited in certain situations:
⚠️ Common Criticisms of Python
1. Slow Execution Speed
Python is interpreted, not compiled.
It’s significantly slower than languages like C++, Java, or Rust.
Not ideal for performance-critical applications (e.g., high-frequency trading or embedded systems).
2. High Memory Usage
Python’s data structures are not memory efficient.
Poor choice for memory-constrained environments (like mobile apps or embedded devices).
3. Dynamic Typing Can Be Risky
Lack of compile-time type checks can lead to runtime errors that are hard to debug.
This can make large codebases harder to maintain.
4. Mobile Development Support is Weak
Python has limited adoption for Android or iOS app development.
Java/Kotlin (Android) and Swift (iOS) are much better choices.
5. GIL (Global Interpreter Lock)
Python’s CPython implementation restricts true multi-threading due to the GIL.
Bad for multi-threaded performance in CPU-bound tasks.
6. Packaging & Dependency Management Can Be Messy
Virtual environments and package versions can conflict.
Tools like
pip,conda, andvenvhelp, but the ecosystem can be confusing for beginners.
7. Not Ideal for Low-Level Programming
You don’t get the kind of control over memory and hardware as you do in C or C++.
🧠 So Why Do People Still Use Python?
Despite these flaws, Python is:
Super readable and beginner-friendly
Amazing for prototyping and automation
Powerful in data science, AI/ML, scripting, and web development
Backed by a massive community and thousands of libraries
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