This comprehensive intermediate Python programming course is designed for developers who want to deepen their Python knowledge and gain practical experience working with data structures, file handling, APIs, and testing. The course combines theoretical concepts with hands-on exercises and real-world applications.
Week_2_Intermediate_Python/
├── Functions/ # Foundation concepts
│ ├── basic_functions.py
│ ├── advanced_functions.py
│ ├── recursion.py
│ └── exercises/
├── Day_1_Data_Structures/ # Core data structures
├── Day_2_File_Handling/ # File operations
├── Day_3_OOP/ # Object-oriented programming
├── Day_4_APIs/ # APIs and system libraries
└── Day_5_Testing/ # Testing and project work
- Basic Functions
- Function definition and parameters
- Return values and docstrings
- Default and keyword arguments
- Advanced Functions
- Lambda functions
- Decorators
- *args and **kwargs
- Higher-order functions
- Recursion
- Recursive functions
- Base cases and recursive cases
- Memory considerations
- Advanced List Operations and Comprehensions
- List methods and operations
- List comprehensions
- Nested lists and matrices
- Performance considerations
- Tuples and Their Applications
- Immutable sequences
- Named tuples
- Tuple unpacking
- Performance benefits
- Dictionaries and Complex Data Structures
- Dictionary methods
- Dictionary comprehensions
- Nested dictionaries
- defaultdict and OrderedDict
- Sets and Set Operations
- Set creation and methods
- Mathematical set operations
- Set comprehensions
- Performance benefits
- Map, Filter, and Lambda Functions
- Functional programming concepts
- Anonymous functions
- Iterator operations
- Practical applications
- File Operations
- Reading and writing files
- Binary vs text modes
- File pointers and seeking
- Context Managers
- The
with
statement - Creating custom context managers
- Resource management
- The
- Exception Handling
- Try-except blocks
- Custom exceptions
- Best practices
- Working with CSV Files
- CSV reader and writer
- Dialect handling
- Data transformation
- JSON Data Processing
- JSON serialization
- Complex data structures
- Schema validation
- Classes and Objects
- Class definition
- Instance and class attributes
- Methods and self
- Special Methods
- Magic methods
- Operator overloading
- Custom sequences
- Encapsulation and Properties
- Private attributes
- Property decorators
- Getter and setter methods
- Abstraction and Abstract Classes
- ABC module
- Interface definition
- Abstract methods
- Inheritance
- Single inheritance
- Multiple inheritance
- Method resolution order
- Polymorphism
- Method overriding
- Duck typing
- Interface implementation
- HTTP Requests
- GET and POST requests
- Headers and parameters
- Response handling
- API Integration
- RESTful APIs
- Authentication methods
- Rate limiting
- Error Handling
- HTTP status codes
- Timeout handling
- Retry mechanisms
- File System Operations
- Path manipulation
- File operations
- Directory handling
- Command Line Arguments
- argparse module
- System arguments
- User interaction
- Unit Testing
- unittest framework
- Test cases and suites
- Assertions
- PyTest
- Test discovery
- Fixtures
- Parametrization
- Mini Project
- API application
- Testing implementation
- Documentation
-
Clone the Repository
git clone <repository-url> cd Intermediate-Python-Concepts-and-Working-with-Data
-
Set Up Environment
python -m venv venv .\venv\Scripts\Activate.ps1 pip install -r requirements.txt
-
Navigate Through Content
- Start with the Functions section
- Progress through Days 1-5 in order
- Complete exercises in each section
- Check solutions in the exercises directory
- Basic Python syntax and data types
- Basic control flow (if/else, loops)
- Function basics
- Basic file operations
- Python 3.8 or higher
- pip package manager
- Text editor or IDE (VS Code recommended)
- Git for version control
requests==2.28.1
pytest==7.3.1
python-dotenv==0.21.0
pandas==1.5.3
-
Start with Functions
- Complete basic_functions.py
- Practice with exercises
- Move to advanced concepts
-
Progress Through Days
- Read theory in each .py file
- Run and modify examples
- Complete exercises
- Review solutions
-
Final Project
- Implement mini project
- Write tests
- Document code
We welcome contributions to improve the course content:
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
- Python Software Foundation
- Open Source Community
- Contributors and Reviewers