A day wise course curriculum to start python from scratch.

Day-by-day curriculum for learning Python from scratch. Each day builds upon the previous one, gradually introducing new concepts and reinforcing earlier ones.

Day 1: Introduction to Python

• 1.Overview of Python: history, features, and applications.
• 2.Setting up Python environment (installing Python, IDEs like PyCharm or Jupyter Notebook).
• 3.Writing your first Python program (Hello World!).
• 4.Basic data types: integers, floats, strings, booleans.
• 5.Basic operations: arithmetic, string concatenation, comparison.
• 6.Using print() function to output text.

Day 2: Variables and Data Structures

• 1.Declaring variables and variable naming conventions.
• 2.Dynamic typing in Python.
• 3.Lists: creating, accessing elements, list methods.
• 4.Tuples: creating, accessing elements (immutable sequences).
• 5.Dictionaries: creating, accessing elements by key, dictionary methods.

Day 3: Control Flow

• 1.Conditional statements (if, elif, else).
• 2.Using logical operators (and, or, not).
• 3.Loops: for loops, while loops.
• 4.Loop control statements: break, continue.
• 5.Iterating through lists and dictionaries.

Day 4: Functions

• 1.Defining and calling functions.
• 2.Function parameters and arguments.
• 3.Return statement and returning values from functions.
• 4.Scope of variables: local vs global.
• 5.Built-in functions vs user-defined functions.

Day 5: More on Functions and Modules

• 1.Default arguments and keyword arguments.
• 2.Lambda functions.
• 3.Importing modules and using functions from them.
• 4.Creating your own modules.
• 5.Documenting functions using docstrings.

Day 6: File Handling

• 1.Opening and closing files.
• 2.Reading from and writing to files.
• 3.File modes: read, write, append.
• 4.Working with text files.
• 5.Handling exceptions using try-except blocks.

Day 7: Object-Oriented Programming Basics

• 1.Introduction to object-oriented programming (OOP).
• 2.Classes and objects.
• 3.Attributes and methods.
• 4.Constructors and destructors.
• 5.Inheritance and polymorphism.

Day 8: More on OOP

• 1.Encapsulation and access modifiers.
• 2.Class and static methods.
• 3.Method overriding and method overloading.
• 4.Special methods (dunder/magic methods).
• 5.Implementing OOP concepts in Python.

Day 9: Error Handling and Debugging

• 1.Understanding exceptions and error types.
• 2.Using try-except blocks for error handling.
• 3.Raising exceptions with raise.
• 4.Debugging techniques: print debugging, using debuggers.
• 5.Handling errors gracefully in your programs.

Day 10: Final Projects and Review

• 1.Work on a small project incorporating concepts learned.
• 2.Review all concepts covered in the past days.
• 3.Practice problem-solving on platforms like LeetCode, HackerRank, or Codecademy.
• 4.Seek help or clarification on any challenging topics.
• 5.Plan your next steps in Python learning.

We can adjust the pace based on our learning speed and schedule. It is not mandatory and it is not suggested to read the above all in 10 days . we may take 100 days to learn the basic python before stepping into the more advanced topics such as web development, data science, machine learning, or automation based on our interests and career goals.