Advanced Python Programming
Take your Python skills further with OOP design patterns, API integration, web scraping, database connectivity, and data analysis.
About this course
Building on foundational Python knowledge, this advanced course dives deep into professional-grade Python development. You will master object-oriented design patterns, learn to interact with RESTful APIs, scrape and process data from the web, connect to databases using Python, and perform data analysis with popular libraries. The course emphasizes real-world project development, equipping you with the skills to build production-ready Python applications. Each live session is project-driven, ensuring that you leave with a portfolio of practical work that demonstrates your capabilities to employers and academic institutions alike.
What you'll learn
- Apply advanced OOP design patterns in Python projects
- Consume and integrate RESTful APIs
- Build web scrapers using BeautifulSoup and requests
- Connect to SQL and NoSQL databases from Python
- Perform data analysis with pandas and NumPy
- Create data visualizations with matplotlib
- Develop complete Python projects from requirements to deployment
Prerequisites
- Completion of Python Programming Essentials or equivalent
- Basic understanding of OOP concepts
Course curriculum
8 modules • Live instructor-led sessions
- Inheritance and polymorphism
- Abstract classes and interfaces
- Decorator and factory patterns
- SOLID principles in Python
- HTTP methods and REST principles
- Making API calls with requests
- Parsing JSON responses
- Authentication and API keys
- HTML parsing with BeautifulSoup
- Navigating the DOM
- Handling pagination
- Ethical scraping practices
- SQL basics and SQLite
- CRUD operations with Python
- Introduction to SQLAlchemy
- Working with MongoDB
- DataFrames and Series
- Data cleaning and transformation
- Aggregation and grouping
- Merging and joining datasets
- Matplotlib fundamentals
- Creating charts and graphs
- Customizing visualizations
- Seaborn for statistical plots
- Arrays and matrix operations
- Broadcasting and vectorization
- Statistical functions
- Linear algebra with NumPy
- Project planning and architecture
- Full-stack Python application
- Code review and best practices
- Presentation and documentation
Your instructor
Knowvate Faculty
Knowvate's faculty combines academic credentials from leading universities with professional industry experience. Every live session is taught by domain experts committed to your learning outcomes.