CLI tool to generate academic practical code files for Compiler Design, Data Structures, OS, and DBMS
Project description
juneja-codebase
A Python CLI tool to generate academic practical code files offline.
Installation
pip install juneja-codebase
Usage
Standard Method
# List available subjects
juneja-codebase --list
# Generate all code files
juneja-codebase --all
# Generate specific subject
juneja-codebase --subject compiler_design
# Save to specific directory
juneja-codebase --all --output ./my_codes
# Create zip file
juneja-codebase --all --zip
Alternative Method (Use this in lab/college systems if juneja-codebase command doesn't work)
# If you get "command not found" or "not recognized" error, use:
python3 -m juneja_codebase.main --list
python3 -m juneja_codebase.main --all
python3 -m juneja_codebase.main --subject compiler_design
python3 -m juneja_codebase.main --all --zip
Note: The alternative method works on ALL systems and doesn't require the Scripts folder to be in PATH.
Subjects Included
- Compiler Design - Lex and Yacc practical files
- Deep Learning - Deep learning implementations
- Social Network Analysis - Network analysis code
Features
- Works completely offline
- All practical files bundled in the package
- Perfect for lab practicals and exam preparation
- No internet required after installation
License
MIT License
Project details
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juneja_codebase-4.0.0.tar.gz
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