hypervanse

😂 DoctorMyPass.py is a perfect name for this! Let’s get to exactly what you need—local, simple, clear diagnostic code for your Android environment (ARM) running QuickEdit Pro or PyIDE, without confusion from virtual environments like PythonAnywhere.

Here’s what we’ll do:
🔎 Probe minimal system info (device architecture, platform).
🔎 Show the actual Python executable path (so you’re 100% sure it’s the real local interpreter).
🔎 List sys.path (so you can see where Python is looking for modules).
🔎 List installed modules, but only those importable in your environment—no reliance on server context.
🔎 Write the output to a local file (DoctorMyPass.txt) and also print it to the terminal.

⸻

hypervanse

Hypervanse

#permanent session with in environment changes
import systemOS
# Print all environment variables
for key, value in os.environ.items():
    print(f"{key}: {value}")
{Environment Variables: 
 'KUBERNETES_SERVICE_PORT_HTTPS': '443',

hypervanse

ChatGPT image generation makes ADOBE Web Templates

While OpenAI boasts about the image generation giggly vibe, Hypervanse, Frederico Moreira, shows that not only the image generation uses ADOBE ttols, but also makes office templates.

https://linktr.ee/hypervanse

A Pen by Frederico Moreira on CodePen.

License.

hypervanse

# Source: https://gist.github.com/vfarcic/8ebbf4943c5c012c8c98e1967fa7f33b

#####################################################################
# Say Goodbye to Containers - Ephemeral Environments with Nix Shell #
#####################################################################

# Additional Info:
# - Nix: https://nixos.org
# - Dagger: The Missing Ingredient for Your Disastrous CI/CD Pipeline: https://youtu.be/oosQ3z_9UEM

hypervanse

ChatGPT's Advanced Data Analysis and Code Execution - Experiments

Recently, I learned that ChatGPT now allows advanced data analysis, which includes executing code (Python or possibly others). This feature is available to registered users via GPT-4o, albeit with limitations.

I quickly tried running system commands using this functionality, and here are the results:

It clearly shows that system commands can be executed through Python code in a sandboxed environment.