Why is Python so bad?
Python is one of the most powerful and beginner-friendly programming languages. Whether you're aiming for a career in software development, data science, AI, or automation — Python is the key, and iHub Talent Training Institute is the best place to learn it!
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
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Python is interpreted, not compiled.
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It’s significantly slower than languages like C++, Java, or Rust.
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Not ideal for performance-critical applications (e.g., high-frequency trading or embedded systems).
2. High Memory Usage
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Python’s data structures are not memory efficient.
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Poor choice for memory-constrained environments (like mobile apps or embedded devices).
3. Dynamic Typing Can Be Risky
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Lack of compile-time type checks can lead to runtime errors that are hard to debug.
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This can make large codebases harder to maintain.
4. Mobile Development Support is Weak
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Python has limited adoption for Android or iOS app development.
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Java/Kotlin (Android) and Swift (iOS) are much better choices.
5. GIL (Global Interpreter Lock)
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Python’s CPython implementation restricts true multi-threading due to the GIL.
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Bad for multi-threaded performance in CPU-bound tasks.
6. Packaging & Dependency Management Can Be Messy
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Virtual environments and package versions can conflict.
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Tools like
pip,conda, andvenvhelp, but the ecosystem can be confusing for beginners.
7. Not Ideal for Low-Level Programming
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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:
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Super readable and beginner-friendly
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Amazing for prototyping and automation
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Powerful in data science, AI/ML, scripting, and web development
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Backed by a massive community and thousands of libraries
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