harinishri2204-cpu
Pollu-Sence
PolluSense is an AI-driven platform that monitors and forecasts air pollution by identifying sources and predicting Air Quality Index (AQI) levels using machine learning and deep learning with real-time data.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides a comprehensive, organized path from beginner to advanced Python, including modern tools and real-world automation tasks.
Who it is for
- Python beginners
- Intermediate developers seeking structured learning
- Educators or trainers designing Python courses
- Self-taught programmers wanting a checklist
Use cases
- Self-paced learning of Python fundamentals to advanced
- Reference for course syllabus creation
- Planning a bootcamp or workshop
- Reviewing topics for interview preparation
Strengths
- Covers a wide range of practical topics from data structures to FastAPI and Selenium
- Includes modern Python features like type hinting, dataclasses, and async programming
- Emphasizes testing and code quality (pytest, flake8, SOLID)
- Incorporates real-world automation (file handling, databases, web, email, SSH)
Considerations
- Lacks code examples, exercises, or project descriptions within the README
- No indication of difficulty level or prerequisites for each module
- May be too broad without depth for absolute beginners; requires additional resources
README quick start
Python Curriculum
Module 1: Python Language Fundamentals
- Environment Setup for Python
- Installing Python
- Setting up IDE
- Python Basic Data Types
- Arrays
- Sets
- Understanding Integers, Floats, Strings, and Booleans
- Type Conversion
- Variables
- Keywords
- Comments
- Declaring and Using Variables
- Python Operators
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Bitwise Operators
- Type Casting
- Data Types Overview
- Input Statements (
input()) - Reading Different Data Types
- Output Formatting
print()Function- String Formatting
Module 2: Conditional Statements
ifelifelse- Nested Conditional Statements
Module 3: Looping Statements
forLoopwhileLoopenumerate()breakcontinuepass
Module 4: Data Structures
- Lists
- Tuples
- Dictionaries
- Sets
- Accessing Elements
- Updating Elements
- Slicing
- Adding Elements
- Deleting Elements
- Working with Loops
- Membership Operator (
in)
Module 5: Python Strings
- String Slicing
- String Formatting
- f-Strings
format()- String Built-in Methods
lower()upper()split()join()
Module 6: Python Functions
- Built-in Functions
range()- User Defined Functions
- Parameters
- Return Values
*args**kwargs- Type Hinting
- Higher Order Functions
- Function Overloading
- Function Overriding
- Decorators
- Generators
- Magic (Dunder) Methods
- Local Variables
- Global Variables
globals()- Recursive Functions
Module 7: File Handling
- Opening Files
- Closing Files
- Reading Files
- Writing Files
- File Modes
- Creating Files
- Deleting Files
- Creating Folders
- Deleting Folders
osModule
Module 8: Object-Oriented Programming
- Classes
- Objects
__init__- Constructors
- Destructors
- Inheritance
- Method Resolution Order (MRO)
- Dataclasses
- Intermediate OOP
- Configuration Management
- Environment Variables
- Pydantic
- Cyclomatic Complexity
- PEP 8
- Flake8
- SOLID Principles
- AST Parsing
- Exception Handling
- Logging
- Document Automation
- Excel Automation (
openpyxl) - Word Automation
- Command Line Arguments
- Pytest
- unittest
- doctest
- Multiprocessing
- Async Programming
aiohttp- Concurrency
- Coroutines
- Event-Driven Programming
- Pytest Fixtures
- Mock Patching
- Futures
Module 9: Regular Exp
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