Welcome to the Intermediate Python module! This module is designed to take your Python skills to the next level and provide you with a deeper understanding of the language. Throughout this module, you'll explore a wide range of topics and work on challenging exercises to strengthen your Python programming abilities.
In this class, we'll cover the following topics:
- Python Review
- Object-oriented programming (OOP) concepts
- Functional programming techniques
- Error handling and exception management
- File I/O and data persistence
- Testing and debugging strategies
- Asynchronous programming with async/await
- Decorators and generators
- Introduction to popular Python libraries and frameworks
- and more...!
The module includes a variety of exercises designed to reinforce your understanding of the concepts covered. Each exercise focuses on a specific topic and provides an opportunity to apply your knowledge in a practical way.
Here's a glimpse of what you can expect:
- Data Structures: Exercises involving dictionaries, sets, tuples, and more.
- OOP Fundamentals: Implementing classes, inheritance, and polymorphism.
- Functional Programming: Exploring lambda functions, map, filter, and reduce.
- Error Handling: Handling exceptions and creating custom exception classes.
- File Handling: Reading from and writing to files, working with CSV and JSON data.
- Testing and Debugging: Writing unit tests and debugging Python code.
- Asynchronous Programming: Understanding and utilizing async/await syntax.
- Decorators and Generators: Creating and using decorators and generator functions.
- Web Scraping: Extracting data from websites using Python libraries.
- Mini Projects: Applying your skills to solve real-world problems.
To get started with the Intermediate Python module, make sure you have Python installed on your system. We'll go through this in the VS Environment Setup together in class, but you always have the PDF attached here for reference.
Clone this repository to your local machine using the following command:
https://github.com/manutej/Int_Python_Day1.git