Course overview
The Certified Python Developer course is designed to provide a comprehensive understanding of Python programming and its application in real-world scenarios. This course prepares participants for the Certified Python Developer exam by covering Python fundamentals, advanced programming concepts, and best practices for software development using Python.
Training methodology
Lectures and Presentations: Detailed explanations of Python concepts, syntax, and features.
Hands-On Labs: Practical coding exercises and projects to apply Python skills.
Case Studies: Real-world examples to understand Python application in various scenarios.
Group Discussions: Interactive sessions to explore programming challenges and solutions.
Quizzes and Practice Exams: Assessments to evaluate understanding and exam readiness.
Target competencies
- Python programming fundamentals and syntax
- Advanced Python concepts and libraries
- Software development best practices in Python
- Debugging and testing Python applications
Course objectives
By the end of the course, participants will be able to:
- To provide a thorough understanding of Python programming and its features.
- To prepare participants for the Certified Python Developer exam.
- To equip learners with practical skills for developing, testing, and deploying Python applications.
- To familiarize participants with Python libraries, frameworks, and best practices.
Course outline
1. Introduction to Python Programming
- Overview of Python and Its Applications
- Python Syntax and Data Types
- Control Structures (Loops, Conditionals)
- Functions and Modules in Python
2. Working with Data
- Data Structures (Lists, Tuples, Sets, Dictionaries)
- File Handling (Reading and Writing Files)
- Exception Handling and Debugging
- Working with CSV, JSON, and XML Data
3. Object-Oriented Programming (OOP)
- Introduction to OOP Concepts (Classes, Objects)
- Inheritance, Polymorphism, and Encapsulation
- Designing and Implementing Classes
- Using Python’s Built-in OOP Features
4. Advanced Python Concepts
- Decorators and Generators
- Context Managers and Iterators
- Regular Expressions and String Manipulation
- Python Collections and Comprehensions
5. Python Libraries and Frameworks
- Overview of Popular Python Libraries (NumPy, Pandas, Matplotlib)
- Introduction to Web Frameworks (Flask, Django)
- Working with APIs and Web Services
- Data Analysis and Visualization
6. Testing and Debugging
- Writing Unit Tests with unittest and pytest
- Debugging Techniques and Tools
- Performance Optimization and Profiling
- Error Handling and Logging Best Practices
7. Software Development Best Practices
- Code Style and Documentation (PEP 8, Docstrings)
- Version Control with Git
- Packaging and Distributing Python Applications
- Continuous Integration and Deployment (CI/CD) Pipelines