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📌 Python Learning Plan: Week 1 (Pure Python) 📅
## Day 1: Introduction to Python and Basic Syntax 🐍
1. Python Installation and Environment Setup:
- Installing Python from - https://www.python.org/downloads/.
- Setting up an IDE (e.g., Jupyter Notebook, VSCode).
2. Basic Syntax and Data Types:
- Variables and Data Types: int, float, str, bool.
- Basic Operations: arithmetic, comparison, and logical operators.
- String Operations: concatenation, slicing, and formatting.
3. Input and Output:
- Using
input() to get user input.
- Printing to the console with print().
## Day 2: Control Flow 🔄
1. Conditional Statements:
- if, elif, and else statements.
- Nested conditionals.
2. Loops:
- for loops: iterating over sequences.
- while loops: conditions and loop control.
- Loop control statements: break, continue, pass.
3. List Comprehensions:
- Creating lists with comprehensions.
- Conditional comprehensions.
## Day 3: Functions 🔧
1. Defining Functions:
- Function definition with def.
- Parameters and arguments.
- Returning values from functions.
2. Scope and Lifetime:
- Local and global scope.
- global and nonlocal keywords.
3. Lambda Functions:
- Anonymous functions using lambda.
- Using lambda functions with map(), filter(), and sorted().
## Day 4: Data Structures 🗂️
1. Lists:
- Creating and modifying lists.
- List methods: append(), remove(), pop(), extend(), index(), count(), sort(), and reverse().
2. Tuples:
- Creating and accessing tuples.
- Tuple immutability.
- Unpacking tuples.
3. Sets:
- Creating sets.
- Set operations: union, intersection, difference, symmetric difference.
- Set methods: add(), remove(), discard(), pop().
4. Dictionaries:
- Creating and accessing dictionaries.
- Dictionary methods: keys(), values(), items(), get(), update(), pop(), popitem().
## Day 5: Advanced Data Structures 🌟
1. Nested Data Structures:
- Lists within lists, dictionaries within dictionaries, etc.
- Accessing and modifying nested structures.
2. Comprehensions with Complex Structures:
- Nested comprehensions.
- Dictionary comprehensions.
## Day 6: Object-Oriented Programming (OOP) 🧩
1. Classes and Objects:
- Defining classes with class.
- Creating objects (instances) of classes.
- Instance variables and methods.
2. Class Variables and Methods:
- Defining class variables.
- Class methods with @classmethod.
- Static methods with @staticmethod.
3. Inheritance:
- Creating subclasses.
- Overriding methods.
- Using super() to call parent class methods.
4. Special Methods:
- __init__ for initializing objects.
- __str__ and __repr__ for string representation.
- Operator overloading with methods like __add__, __len__, __eq__.
## Day 7: Error Handling and File I/O 📂
1. Error Handling:
- Using try, except, else, and finally blocks.
- Raising exceptions with raise.
2. File Input and Output:
- Opening and closing files with open() and close().
- Reading from files with read(), readline(), readlines().
- Writing to files with write() and writelines().
- Using with statement for file operations.
3. Custom Exceptions:
- Defining custom exception classes.
- Raising and catching custom exceptions.
# Key Interview Topics 🎯
1. Python Basics:
- Syntax, data types, and basic operations.
2. Control Flow:
- Conditional statements, loops, and comprehensions.
3. Functions:
- Defining and using functions, lambda functions.
4. Data Structures:
- Lists, tuples, sets, dictionaries, and their methods.
5. OOP:
- Classes, objects, inheritance, and special methods.
6. Error Handling and File I/O:
- Handling exception, file operations
Title: The Hitchhiker's Guide to Machine Learning Algorithms
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