Intermediate Python

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In the Python Intermediate Course, you will learn more advanced concepts such as object-oriented programming, file I/O, regular expressions, error handling, and working with databases. You will also learn how to work with third-party libraries and modules, as well as how to create your own packages. By the end of the course, you will have a deeper understanding of Python and be able to develop more complex applications.

Class 1: Object-Oriented Programming

• Review of basic concepts of OOP
• Defining classes in Python
• Creating objects and invoking methods
• Inheritance and polymorphism
• Practice: Create a simple class hierarchy to model a system of employees and managers

Class 2: File Handling

• Reading and writing to files using Python
• Opening and closing files
• Reading and writing text and binary files
• Practice: Create a program that reads data from a file, performs some processing on it, and writes the result to a new file

Class 3: Regular Expressions

• Introduction to regular expressions
• Basic syntax and metacharacters
• Using regular expressions in Python
• Practice: Create a program that searches a text file for occurrences of a specific pattern using regular expressions

Class 4: Data Structures

• Review of built-in data structures (lists, tuples, sets, dictionaries)
• Working with arrays and matrices
• Creating and using custom data structures
• Practice: Implement a hash table data structure in Python

Class 5: Multithreading and Multiprocessing

• Introduction to concurrency in Python
• Using threads to achieve parallelism
• Using processes to achieve parallelism
• Practice: Create a program that uses threads or processes to perform a long-running computation

Class 6: Networking

• Introduction to network programming in Python
• Working with sockets
• Implementing client-server applications
• Practice: Implement a simple chat server using sockets in Python

Class 7: Debugging and Testing

• Techniques for debugging Python programs
• Using the Python debugger (pdb)
• Writing and running unit tests with pytest
• Practice: Debug and test a provided Python program, and write unit tests for it

Class 8: Web Scraping

• Introduction to web scraping with Python
• Working with web APIs
• Parsing HTML with BeautifulSoup
• Practice: Create a program that scrapes data from a website and saves it to a file or database

Class 9: Database Programming

• Introduction to database programming with Python
• Connecting to databases
• Performing CRUD operations (create, read, update, delete)
• Practice: Create a program that interacts with a database, performs some data manipulation, and retrieves data based on user input

Class 10: Data Visualization

• Introduction to data visualization with Python
• Using Matplotlib and Seaborn for creating plots and charts
• Practice: Create a program that reads data from a file or database, performs some data analysis, and creates visualizations to represent the results

These are just some ideas for topics that can be covered in a Python Intermediate Course. The key is to balance theory and practice, and to provide students with plenty of opportunities to apply what they learn to real-world scenarios.