How sumanth19901/python_036-codegnan works
This repository is a flat collection of standalone Python अभ्यास/exercise scripts, not a single integrated application. The architecture is essentially “one file = one lesson/demo,” with no package structure, shared module layer, or obvious runtime wiring between files.
1. Overall shape
• The repo contains only top-level .py files plus a minimal README.md.
• There is no src/ layout, no tests, no build system, and no dependency manifest.
• Each script appears to be independently runnable from the command line or an IDE.
2. Primary boundary: script isolation
• The main architectural boundary is file-level isolation.
• Most scripts likely demonstrate one concept at a time and do not import each other.
• Any data flow is local to the script: input from the user, computation in memory, output to stdout.
3. Arithmetic and calculator-style examples
• Files such as balance.py, caliculater.py, factorial.py, smallest.py, gratest.py, and gratest numbere.py suggest basic numeric logic.
• These likely cover operators, comparisons, max/min selection, and simple procedural computation.
• table_2.py and febinokiseries.py likely generate numeric sequences or tables.
4. Control-flow demonstrations
• if, for, while, and nested-loop concepts are heavily represented: nested_if.py, while_loop.py, for_loop.py, foor_loop.py, nested_for loop.py, nested_loop.py, conduction.py, and conductional.py.
• These scripts likely focus on branching, looping, and repeated iteration patterns.
• The architecture here is educational rather than domain-driven.
5. Functions and recursion subsystem
• functions.py, none_voide functions.py, recurcive_function.py, and pass by valu_pass by referance.py indicate teaching function behavior.
• These scripts probably explore parameter passing, return values, void/non-void functions, and recursion.
• This is one of the few areas that may demonstrate reusable logic, but still at script scope.
6. Data structure examples
• list.py, list-1.py, list comprehsion.py, tuple.py, and possibly input.py/unknown.py likely illustrate core Python collections and basic manipulation.
• map.py may demonstrate the built-in map() function rather than a data-structure map.
• These scripts are isolated examples rather than a shared model layer.
7. Input/output and simple interactive flows
• input.py, password.py, quize.py, and task.py suggest user-driven console interaction.
• The main data path here is: read input → validate/process → print result.
• There is no evidence of persistence, networking, or external storage.
8. Object-oriented example
• class-1.py appears to be the only explicit class-oriented script.
• This likely introduces basic class definition and object usage, but it is not part of a larger object model or subsystem.
9. Miscellaneous educational examples
• Files like lambda.py, collage.py, raide.py, unknown.py, and balance.py indicate assorted learning exercises, likely covering smaller Python concepts.
• Because naming is inconsistent and includes typos, the repo looks like a personal practice set rather than production code.
10. Runtime and tooling
• The only explicit technology is Python.
• No additional runtime services, databases, APIs, or frameworks are visible from the file tree.
• The repo likely runs directly with the Python interpreter on a per-script basis.
11. What is missing architecturally
• No shared utilities, no central orchestrator, no dependency injection, no layered architecture.
• No clear separation into domain, application, and infrastructure layers.
• No persistent data flow across files.
12. Diagramming guidance
• Model this repository as a set of independent console programs under one folder.
• Show each script as a separate entry point feeding from stdin and writing to stdout.
• If you need grouping, cluster them by learning topic: control flow, functions, collections, recursion, I/O, and classes.
In short: this repo is a Python learning workbook, not a cohesive system. The important architectural takeaway is that each file is a self-contained example with no meaningful inter-file dependencies.
Main entry points: README.md README · list.py Lists · input.py Input · nested_if.py Nested If
Components 21
Input/Output
Console interaction scripts
Control Flow
Branching and looping examples
- Nested If · Conditional logic example
nested_if.py - While Loop · Repeated iteration example
while_loop.py - For Loop · Basic counted iteration
for_loop.py - Nested Loop · Loop nesting example
nested_loop.py
Arithmetic
Numeric and calculator exercises
- Calculator · Simple arithmetic operations
caliculater.py - Balance · Numeric practice script
balance.py - Factorial · Product and recursion-style arithmetic
factorial.py - Table 2 · Multiplication table exercise
table_2.py
Functions
Function behavior and recursion
Collections
Lists, tuples, and built-ins
Connections 14
- README → Input: describes · Repository notes this as an isolated console exercise
- README → Nested If: describes · Repository notes this as a control-flow lesson
- README → Calculator: describes · Repository notes this as a numeric exercise
- README → Functions: describes · Repository notes this as a function lesson
- README → Lists: describes · Repository notes this as a collections lesson
- README → Class Demo: describes · Repository notes this as the class example
- Input → Quiz: same pattern · Both are standalone interactive console practice scripts
- Nested If → While Loop: same pattern · Independent control-flow demonstrations
- For Loop → Nested Loop: same pattern · Loop examples at different nesting levels
- Calculator → Factorial: same pattern · Independent arithmetic exercises
- Functions → Recursion: same pattern · Function-focused teaching scripts
- Lists → List Comp: same pattern · Collection-oriented examples
- Lists → Tuple: same pattern · Core container examples
- Class Demo → Lambda: same pattern · Standalone language feature demos