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Intermediate Python Concepts and Working with Data

Course Overview

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.

Repository Structure

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

Course Content

Functions (Foundation)

  • 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

Day 1: Data Structures

  • 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

Day 2: File Handling & Data Formats

  • 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
  • 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

Day 3: Object-Oriented Programming

  • 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

Day 4: APIs and System Libraries

  • 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

Day 5: Testing and Project Work

  • Unit Testing
    • unittest framework
    • Test cases and suites
    • Assertions
  • PyTest
    • Test discovery
    • Fixtures
    • Parametrization
  • Mini Project
    • API application
    • Testing implementation
    • Documentation

Getting Started

  1. Clone the Repository

    git clone <repository-url>
    cd Intermediate-Python-Concepts-and-Working-with-Data
  2. Set Up Environment

    python -m venv venv
    .\venv\Scripts\Activate.ps1
    pip install -r requirements.txt
  3. 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

Prerequisites

Required Knowledge

  • Basic Python syntax and data types
  • Basic control flow (if/else, loops)
  • Function basics
  • Basic file operations

Technical Requirements

  • Python 3.8 or higher
  • pip package manager
  • Text editor or IDE (VS Code recommended)
  • Git for version control

Required Packages

requests==2.28.1
pytest==7.3.1
python-dotenv==0.21.0
pandas==1.5.3

Learning Path

  1. Start with Functions

    • Complete basic_functions.py
    • Practice with exercises
    • Move to advanced concepts
  2. Progress Through Days

    • Read theory in each .py file
    • Run and modify examples
    • Complete exercises
    • Review solutions
  3. Final Project

    • Implement mini project
    • Write tests
    • Document code

Contributing

We welcome contributions to improve the course content:

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Python Software Foundation
  • Open Source Community
  • Contributors and Reviewers

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