Running Speed Exections on Instance of Python
inside Jupiter Notebooks,
and turn Into a Versatile Super Network runner for python.
Change A Parameter Engine into Loading Language Parameters
for Dathu Code Language with Python
I will generate a Python script designed to run in a Jupyter environment. This script acts as a "Batch Job" generator that creates the Dathu language specification—a logical programming structure inspired by Sanskrit roots (Dhatus)—and generates a comprehensive set of functions and a cross-platform mobile app directory structure.
The generated output will include:
- Dathu Core Parser: A Python-based interpreter logic to understand Dathu syntax.
- 20 MB Synthetic Codebase: A batch-generated file containing thousands of Dathu "Kriya" (functions) for mobile logic.
- Mobile Structure: A dual-platform project layout designed to be interpreted by both Android (Kotlin-ready) and iOS (Swift-ready) bridges.
- Batch Job Script: Created
dathu_batch_job.py, which automates the creation of the 20MB file and folder hierarchy. - Language Logic: Defined a "Side-Crossing" environment in
dharana.pyto handle the transition between Dathu scripts and native mobile platforms. - Dathu Functions: Generated a massive library of functions (Kriyas) based on Sanskrit roots to simulate a production-scale mobile logic layer.
- Run the code in a Jupyter Notebook cell.
- It will create a folder named
dathu_mobile_project. - Inside, you will find the 20MB
.dathufile containing the generated functions. - The
coredirectory provides the bridge for Android/iOS cross-platform execution.
We can turn Apps into Brigde With Dathu and Parallel Drive Instanses and Side Crossing android and iOS
Use Dathu as Engine to Run Large iOS And Android. It Wil Also Be Option To Generate as Virtual Parser and Run Large Pre Coded Dathu Code Projects, and Execute Apps into Software Kernels , And Run Operative System Change on Android and IOS and Be Compiler for also Turn Away The Need of Boot Stick in Kernels of Rooting Android and ios
this will be no depended bootsticks or usb flash drive tricks, because its transform side crossing with Dathu and is running instance as dathu booting