Python AtoZ Notes
Python AtoZ Mastery Notes 
Master Python in One Place — 38 Parts of Lessons with Detailed, Indepth Theory + Code Examples + 50< Most Important Interview Oriented Key Q&As β
Syllabus Included in this Ebookπ
Python: The Complete Data Science & Programming Index
Basics – Includes 18 Parts
Advanced – Includes Next 20 Parts
In Total: 38 Parts, 105 Pages (Updated), covering all the topics from basic to advanced + 50 IMP Question & Answers
Phase I: Foundations & Syntax (Parts 1-5)
Focus: Environment Setup, Readability, and Core Control Flow
Part 1: Python Architecture & Philosophy
Part 2: Variables, Data Types, and Mutability
Part 3: Operators and Expressions
Part 4: Control Flow Statements
Part 5: Functions and Code Organization
Phase II: Core Data Structures (Parts 6-10)
Focus: The Big Four built-in data collections and their use cases
Part 6: Lists
Part 7: Tuples
Part 8: Dictionaries
Part 9: Sets
Part 10: Strings and Text Manipulation
Phase III: Modularity & Functional Concepts (Parts 11-14)
Focus: Code Reusability, File Operations, and Higher-Order Functions
Part 11: Modules and Packages
Part 12: File Input/Output (I/O)
Part 13: Exception Handling
Part 14: Functional Programming in Python
Phase IV: Object-Oriented Mastery (Parts 15-18)
Focus: Implementing OOP principles in Python's class model
Part 15: Classes and Objects
Part 16: Inheritance and Polymorphism
Part 17: Encapsulation and Property Decorators
Part 18: Special Methods (Dunder Methods)
Phase V: Advanced Concepts & Generators (Parts 19-23)
Focus: Iteration control, memory efficiency, and decorators
Part 19: Iterators and Iterables
Part 20: Generators and yield
Part 21: Decorators
Part 22: Context Managers
Part 23: Type Hinting (PEP 484)
Phase VI: Standard Library & Concurrency (Parts 24-29)
Focus: Professional Tools, Data Formats, and Parallel Execution
Part 24: Working with Dates and Time
Part 25: JSON and Data Serialization
Part 26: Testing and Debugging
Part 27: Concurrency: Multithreading
Part 28: Concurrency: Multiprocessing
Part 29: Asynchronous Programming
Phase VII: Data Science & Professional Development (Parts 30-38)
Focus: Core Data Science Stack, Data Visualization, ML Fundamentals, and Review
Part 30: Virtual Environments
Part 31: Data Science Utility: NumPy
Part 32: Data Science Utility: Pandas
Part 33: Data Visualization: Matplotlib
Part 34: Data Visualization: Seaborn
Part 35: Scikit-learn (SKlearn) Fundamentals
Part 36: SKlearn: Supervised Learning
Part 37: SKlearn: Model Evaluation & Unsupervised
Part 38: Top 50+ Python Interview Oriented Questions and Answers
In Total: Top 50+ Most Important Interview Oriented Question and Answers Included.
Basics – Includes 18 Parts
Advanced – Includes Next 20 Parts
In Total: 38 Parts, 105 Pages (Updated), covering all the topics from basic to advanced + 50 IMP Question & Answers
Phase I: Foundations & Syntax (Parts 1-5)
Focus: Environment Setup, Readability, and Core Control Flow
Part 1: Python Architecture & Philosophy
Part 2: Variables, Data Types, and Mutability
Part 3: Operators and Expressions
Part 4: Control Flow Statements
Part 5: Functions and Code Organization
Phase II: Core Data Structures (Parts 6-10)
Focus: The Big Four built-in data collections and their use cases
Part 6: Lists
Part 7: Tuples
Part 8: Dictionaries
Part 9: Sets
Part 10: Strings and Text Manipulation
Phase III: Modularity & Functional Concepts (Parts 11-14)
Focus: Code Reusability, File Operations, and Higher-Order Functions
Part 11: Modules and Packages
Part 12: File Input/Output (I/O)
Part 13: Exception Handling
Part 14: Functional Programming in Python
Phase IV: Object-Oriented Mastery (Parts 15-18)
Focus: Implementing OOP principles in Python's class model
Part 15: Classes and Objects
Part 16: Inheritance and Polymorphism
Part 17: Encapsulation and Property Decorators
Part 18: Special Methods (Dunder Methods)
Phase V: Advanced Concepts & Generators (Parts 19-23)
Focus: Iteration control, memory efficiency, and decorators
Part 19: Iterators and Iterables
Part 20: Generators and yield
Part 21: Decorators
Part 22: Context Managers
Part 23: Type Hinting (PEP 484)
Phase VI: Standard Library & Concurrency (Parts 24-29)
Focus: Professional Tools, Data Formats, and Parallel Execution
Part 24: Working with Dates and Time
Part 25: JSON and Data Serialization
Part 26: Testing and Debugging
Part 27: Concurrency: Multithreading
Part 28: Concurrency: Multiprocessing
Part 29: Asynchronous Programming
Phase VII: Data Science & Professional Development (Parts 30-38)
Focus: Core Data Science Stack, Data Visualization, ML Fundamentals, and Review
Part 30: Virtual Environments
Part 31: Data Science Utility: NumPy
Part 32: Data Science Utility: Pandas
Part 33: Data Visualization: Matplotlib
Part 34: Data Visualization: Seaborn
Part 35: Scikit-learn (SKlearn) Fundamentals
Part 36: SKlearn: Supervised Learning
Part 37: SKlearn: Model Evaluation & Unsupervised
Part 38: Top 50+ Python Interview Oriented Questions and Answers
In Total: Top 50+ Most Important Interview Oriented Question and Answers Included.
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