.jpg)
Day 1–5: Basics of Python
Day 1: Setting Up the Environment
- Install Python and IDEs (VS Code, PyCharm, Jupyter Notebook).
- Learn about Python syntax, comments, and running Python scripts.
Day 2: Variables and Data Types
- Explore variables, constants, and naming conventions.
- Understand data types: integers, floats, strings, and booleans.
Day 3: Input, Output, and Typecasting
- Learn input(), print(), and formatting strings.
- Typecasting between data types (e.g., int(), float()).
Day 4: Conditional Statements
- Learn if, elif, and else.
- Implement examples like even/odd number checks and age verification.
Day 5: Loops
- Explore for and while loops.
- Learn about break, continue, and else in loops.
Day 6–10: Python Data Structures
Day 6: Lists
- Create, access, and manipulate lists.
- Use list methods like append(), remove(), sort().
Day 7: Tuples
- Understand immutable sequences.
- Learn slicing and tuple operations.
Day 8: Sets
- Explore sets and their operations like union, intersection, and difference.
Day 9: Dictionaries
- Create and access dictionaries.
- Learn methods like get(), keys(), values().
Day 10: Strings
- Work with string methods like upper(), lower(), split(), and replace().
- Learn about string slicing.
Day 11–15: Functions and Modules
Day 11: Functions Basics
- Define and call functions.
- Understand function arguments and return values.
Day 12: Lambda Functions
- Learn about anonymous functions with lambda.
Day 13: Modules
- Import and use built-in modules (math, random, etc.).
- Create your own modules.
Day 14: Exception Handling
- Learn try, except, finally, and raise.
Day 15: Decorators
- Understand decorators and their applications.
Day 16–20: Object-Oriented Programming (OOP)
Day 16: Classes and Objects
- Create classes, objects, and attributes.
Day 17: Methods
- Define and use instance and class methods.
Day 18: Inheritance
- Learn single and multiple inheritance.
Day 19: Polymorphism
- Understand method overriding and operator overloading.
Day 20: Encapsulation
- Learn about private and protected members.
Day 21–25: File Handling and Libraries
Day 21: File Handling
- Open, read, write, and close files.
- Understand file modes (r, w, a).
Day 22: JSON
- Work with JSON files (json module).
Day 23: Python Libraries Overview
- Learn basic usage of popular libraries: numpy, pandas, and matplotlib.
Day 24: Regular Expressions
- Learn about pattern matching using re.
Day 25: Web Scraping
- Use requests and BeautifulSoup to scrape websites.
Day 26–30: Projects
Day 26: CLI Calculator
- Build a calculator that performs basic arithmetic operations.
Day 27: To-Do List
- Create a task manager with file storage.
Day 28: Weather App
- Use an API (like OpenWeatherMap) to fetch and display weather data.
Day 29: Web Scraper
- Build a scraper that collects data (e.g., headlines, product details).
Day 30: Portfolio Website
- Create a simple portfolio website using Python (e.g., Flask or Django).
.png)
.png)
.png)
.png)
.png)
%20in%20Finance).jpg)
.png)
.png)
.png)
.png)
Posts
