- Comprehensive Python learning material covering basics to advanced topics
- Demonstrates practical skills and hands-on experience in Python programming
- Covers core concepts, OOP, file handling, exception handling, and popular libraries
- Python 3.x
- Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn,
Click to expand folder details
- Introduction_to_Python – Overview, installation, and setup
- Python_Basics – Variables, data types, operators, basic operations
- Control_Flow – Conditional statements, loops, logical flow
- Functions – User-defined functions, return values, scope
- File_Handling – Reading, writing, and managing files
- Exception_Handling – Errors, exceptions, try-except blocks
- Modules_and_Packages – Importing, creating modules, using packages
- OOPS – Classes, objects, inheritance, polymorphism, encapsulation
- Python_Libraries – Popular libraries like Pandas, NumPy, Matplotlib
Click to expand skills details
- Writing clean and efficient Python code
- Understanding core Python concepts and OOP
- Handling files and exceptions
- Using Python modules and packages effectively
- Performing data analysis and visualization with Python libraries
- Implementing Machine Learning and Deep Learning models
- Working with databases, files, and external data sources
- Email: anandaanandas390@gmail.com