AI With Python 2026 (Part 2)

Why does Python dominate AI?

Simple syntax
Powerful libraries
Massive ecosystem
Fast development

Python powers modern AI.

Read: https://abkarikari23.medium.com/ai-with-python-2026-part-2-why-python-dominates-ai-development-950dc00c3745

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  • Simple syntax
  • Powerful libraries
  • Massive ecosystem
  • Fast development

@abkarikari23 all false.

The four strengths of Python you listed are true for Python and also true for other languages like JavaScript, Java, C#, Clojure, Julia, Ruby, and R. (Simple syntax, powerful libraries, massive ecosystems, and fast development cycles.)

So why is Python really dominant when any of those other languages have the same four strengths and could replace Python for exact same four reasons?

The real reason everyone uses Python:

  • Python is the language of choice in most programming 101 courses for most high schools and colleges around the world,
  • Most people hate learning new programming languages and don’t want to change to some other language after they have learned Python.
  • Python survived the popularity chicken-and-egg problem. Smaller languages aren’t used because “no one uses this language so why should we use it?” Once a language is popular enough, people all start saying “everyone uses this language, so we should use it too!”

But there is absolutely nothing special about Python compared to many other similar languages.

@abkarikari23 Easy integration with C libraries should top the list.
@dalke The focus now is on Python

@abkarikari23 Your focus is on *CPython*, a specific implementation of the Python language.

The powerful libraries exist because of CPython's Python/C extension API and core reference-counting-based semantics. C bindings for Java, for example, are more complicated.

PyPy tried hard to implement the extension API, but too many CPython-specific implementation details leak through. PyPy does not power modern AI. Nor Jython.

Other languages (eg Lisp and Smalltalk) have simpler syntax than Python.