Learning Path
Day 1: Python Foundations & Execution
Origins and Philosophy behind Python language
How does Python run?
Static vs Dynamically typed language
Python Spacing Importance
Python byte-code understanding
Data types in Python
Day 2: Operators, Strings & Conditionals
Operator precedence
String formatting
String interning (Advance topic)
Conditional statements
Truthy and Falsy Values
Loops
Day 3: Loops, Iterators & Collections
Day 4: Memory Management & Functions
Complete Practice set 1
How variable memory management works in Python and Mutability (IMPORTANT)
List comprehension
Functions
Practice set 2
Day 5: Modules, Packages & Error Handling
Scope in Python
Modules
Packages
Errors and Exception
Docstrings
Day 6: Object-Oriented Programming Foundation
Object Oriented Programming (all concepts: classes, objects, inheritance, polymorphism, encapsulation, abstraction)
Dunder methods
Practice set 4
Day 7: Advanced Functions & Standard Library
Day 8: Development Environment & Dependencies
Day 9: Data Handling & Serialization
Serialization and Deserialization (JSON, pickle, etc.)
Practice with file I/O operations
Practice set 3
Apply logging in real scenarios
Day 10: Testing & Quality Assurance
Testing and coverage (unittest, pytest)
Writing test cases for previous concepts
Code quality best practices
Day 11: Integration & Final Project
Training Tasks
Review all challenging topics (Memory management, OOP, Decorators)
Build a mini-project integrating:
OOP principles
Error handling
Logging
Testing
Virtual environment