Welcome to this comprehensive Python course that covers essential programming concepts and practical application. Whether you want to learn how to tackle real-life challenges with Python, already know the basic syntax, or new in programming, this course is for you! You will get over 100+ Video lectures along with practical implementation, Quizzes, resources like GitHub repository, cheat sheet and data sets. You don’t need to spend more than 10 hours, to have a solid foundation in Python Programming!
You will get expertise in building practical projects like chatbots, inventory management systems, Dashboard, order processing systems, Web scrapping, Finance Tracker and more.
With this clear, precise and straight-forward course, you will have strong grip over the following topic which will make you a confident Python developer.
Python Basics:
- Python installation (MacOS, Windows)
- Latest Version of Python –Python 3
- Python environment setup (Google Colab, Visual Studio Code, Python IDLE)
- Basic syntax
- Variables and data types (int, float, str, bool)
- Operators (arithmetic, comparison, logical)
- Input and output
- Control flow (if, else, Elif, nested if, for, while, break, continue)
- Functions (types, definition, calling, parameters, return values)Data Structures
- Lists (creation, indexing, slicing, methods)
- Tuples (creation, methods, indexing, immutability)
- Dictionaries (creation, access, method)
- Sets (creation, operations, methods)Object-Oriented Programming (OOP)
- Classes and objects
- Attributes and methods
- Constructors
- Inheritance (single, multiple, multi-level, hierarchical)
- PolymorphismPython Applications
- Data analysis and visualization (Pandas, Matplotlib)
- Web development (Django)
- Virtual Environment
- Automation
- Web scraping (Beautiful Soup, Request)Additional Topics
- Modules and packages
- Error and exception handling
- File handling
- Decorators
- Lambda functions
- Debugging
- Testing
- Troubleshooting Common Python Problems
- Database connectivity using SQLite
- Python libraries (NumPy, Pandas, Matplotlib, Plotly, Streamlit)
By the end of this course, you will have a strong foundation in Python, you will be able to work confidently in industries project, preparing you to excel in fields like data science, machine learning, web development, automation and empowers you to pursue roles such as Python Developer, AI engineer, data scientist, machine learning engineer, data engineer, back-end developer, full-stack developer, DevOps engineer, or software engineer.
