SortedCoding
*Python Detailed Roadmap* 🚀📌 1. Basics◼ Data Types & Variables◼ Operators & Expressions◼ Control Flow (if, loops)📌 2. Functions & Modules◼ Defining Functions◼ Lambda Functions◼ Importing & Creating Modules📌 3. File Handling◼ Reading & Writing Files◼ Working with CSV & JSON📌 4. Object-Oriented Programming (OOP)◼ Classes & Objects◼ Inheritance & Polymorphism◼ Encapsulation📌 5. Exception Handling◼ Try-Except Blocks◼ Custom Exceptions📌 6. Advanced Python Concepts◼ List & Dictionary Comprehensions◼ Generators & Iterators◼ Decorators📌 7. Essential Libraries◼ NumPy (Arrays & Computations)◼ Pandas (Data Analysis)◼ Matplotlib & Seaborn (Visualization)📌 8. Web Development & APIs◼ Web Scraping (BeautifulSoup, Scrapy)◼ API Integration (Requests)◼ Flask & Django (Backend Development)📌 9. Automation & Scripting◼ Automating Tasks with Python◼ Working with Selenium & PyAutoGUI📌 10. Data Science & Machine Learning◼ Data Cleaning & Preprocessing◼ Scikit-Learn (ML Algorithms)◼ TensorFlow & PyTorch (Deep Learning)📌 11. Projects◼ Build Real-World Applications◼ Showcase on GitHub📌 12. ✅ Apply for Jobs◼ Strengthen Resume & Portfolio◼ Prepare for Technical InterviewsLike for more ❤️💪
1 week ago | [YT] | 7
SortedCoding
*Python Detailed Roadmap* 🚀
📌 1. Basics
◼ Data Types & Variables
◼ Operators & Expressions
◼ Control Flow (if, loops)
📌 2. Functions & Modules
◼ Defining Functions
◼ Lambda Functions
◼ Importing & Creating Modules
📌 3. File Handling
◼ Reading & Writing Files
◼ Working with CSV & JSON
📌 4. Object-Oriented Programming (OOP)
◼ Classes & Objects
◼ Inheritance & Polymorphism
◼ Encapsulation
📌 5. Exception Handling
◼ Try-Except Blocks
◼ Custom Exceptions
📌 6. Advanced Python Concepts
◼ List & Dictionary Comprehensions
◼ Generators & Iterators
◼ Decorators
📌 7. Essential Libraries
◼ NumPy (Arrays & Computations)
◼ Pandas (Data Analysis)
◼ Matplotlib & Seaborn (Visualization)
📌 8. Web Development & APIs
◼ Web Scraping (BeautifulSoup, Scrapy)
◼ API Integration (Requests)
◼ Flask & Django (Backend Development)
📌 9. Automation & Scripting
◼ Automating Tasks with Python
◼ Working with Selenium & PyAutoGUI
📌 10. Data Science & Machine Learning
◼ Data Cleaning & Preprocessing
◼ Scikit-Learn (ML Algorithms)
◼ TensorFlow & PyTorch (Deep Learning)
📌 11. Projects
◼ Build Real-World Applications
◼ Showcase on GitHub
📌 12. ✅ Apply for Jobs
◼ Strengthen Resume & Portfolio
◼ Prepare for Technical Interviews
Like for more ❤️💪
1 week ago | [YT] | 7