Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals
Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals
Python isn’t used for the problem space of speed… Try using PHP for data science visualisation. Need a library to solve a problem? Ruby probably doesn’t have it. Need to write a quick script to transform some data, better spend a more time than doing it manually as you accidentally allocate memory incorrectly in C++. Want to scrape a website for some text? Enjoy tonnes of boilerplate and 30 lines of Java vs the three lines of Python.
Python isn’t about speed, it’s not even about being the best at anything, it’s about being good enough at pretty much any task your average coder needs to pull off in as short a time as possible, all with a single language. Plus, it’s way to bounce to another language from Python should you need to (for instance it’s much easier to write a speed-critical component in Go vs the entire application stack in Go - Python has a much lower cognitive load and developers can easily extend or refactor thanks to Pythonic code).
Thinking speed is a ding on Python shows a gross lack of knowledge of Python and its purpose.
Ah, I see you’ve discovered the secret loophole to being infallible: simply declare it with a “lol” at the end! 🤣
This witty retort actually brought to you by ChatGPT (I made an account just for you).
Too many negative words for chatgpt, imo. “isn’t”, “not”, etc, chatgpt is usually positive and friendly to a fault.
Maybe you could provide a prompt that would output something substantially similar to what they wrote?
Not everyone with an attention span longer than yours is ChatGPT.
Assuming you’ve even read THIS far, that comment lacks all of the common gpt hallmarks.
Participants in awe of how Python lags behind C++, Java, C#, Ruby, Go and PHP
Comparing Python to compiled languages is like C++ is pretty unreasonable.
It’s python, it’s supposed to be slow.
Assembly runs the hardware, c kernel runs the assembly, c++ runs the libraries on the kernel, python runs rhe c++, the human runs the python.
Used to write all my uis in c++, but the turnaround time for python is just incredible, write the business logic there, if it turns out you’re using it to much lower it to c++.