Advanced Python Programming Curriculum
Module 1: Introduction to Advanced Python Programming
- Overview of the course and its objectives
- Setting up Python environment (Anaconda, Jupyter Notebook, etc.)
- Revision of core Python concepts (functions, classes, modules)
- Importance of advanced Python libraries
Module 2: NumPy: Numeric Computing with Python
- Introduction to NumPy and its features
- Creating arrays using NumPy
- Array indexing and slicing
- Array manipulation (reshaping, stacking, splitting)
- Universal functions (ufuncs)
- Broadcasting in NumPy
- NumPy exercises and practical applications
Module 3: Pandas: Data Manipulation and Analysis
- Introduction to pandas and its role in data analysis
- Series and DataFrame data structures
- Data loading and cleaning with pandas
- Data manipulation (selection, filtering, grouping, aggregation)
- Handling missing data
- Data merging and joining
- Pandas exercises and real-world data analysis
Module 4: Data Visualization with Matplotlib and Seaborn
- Introduction to data visualization and its importance
- Creating basic plots using Matplotlib
- Customizing plots (labels, titles, legends)
- Exploring Seaborn for statistical visualization
- Creating different types of plots (scatter, bar, line, heatmap)
- Combining multiple plots
- Visualizing data with Matplotlib and Seaborn
Module 5: Web Scraping with Python
- Introduction to web scraping and its applications
- HTTP basics and requests library
- Parsing HTML using Beautiful Soup
- Navigating and extracting data from HTML elements
- Handling dynamic content (JavaScript, AJAX)
- Web scraping ethics and best practices
- Building a web scraping project
Module 6: SQL for Data Management
- Introduction to relational databases and SQL
- Basic SQL queries (SELECT, WHERE, ORDER BY)
- Aggregation and grouping data
- Joins and subqueries
- Modifying data (INSERT, UPDATE, DELETE)
- Database design principles
- Integrating Python with SQL databases
Module 7: GUI Development with Tkinter
- Introduction to graphical user interfaces (GUIs)
- Getting started with Tkinter
- Creating windows, frames, and widgets
- Layout management with grid and pack
- Handling user input and events
- Adding images and icons
- Building a simple GUI application
Module 8: Final Project and Practical Application
- Integrating multiple concepts learned throughout the course
- Planning and implementing a complete Python application
- Data analysis, visualization, and presentation
- Incorporating web scraping and database interaction
- Creating a polished GUI for user interaction
- Presenting the final project and sharing with others