Python Development is the process of using the Python programming language to create, modify, and maintain software applications. Python is a versatile and widely used programming language known for its simplicity, readability, and vast ecosystem of libraries and frameworks.
What you’ll learn
- Gaining proficiency in the Python programming language and its syntax.
- Understanding fundamental programming concepts and applying them to Python development.
- Problem-solving skills and logical thinking in programming.
- Exploring Python libraries and frameworks for specific use cases like web development, data analysis, or machine learning.
- Developing skills to write clean, modular, and efficient Python code.
- Learning to solve real-world problems and build practical applications using Python.
- Understanding software development practices, such as testing, debugging, and deployment.
- Keeping up with the latest trends and updates in the Python ecosystem.
Requirements
- Basic understanding of programming concepts and logic.
- Access to a computer with Python installed (Python is free and available for major operating systems).
- Integrated Development Environment (IDE) or text editor to write and run Python code (e.g., PyCharm, Visual Studio Code, IDLE).
- The candidate must be equipped with quality webcam and headphones.
- Create your first UX brief & persona.
- How to use premade UI kits.
Duration & Fees
- Regular – 8 Weeks – ₦200,000
- Fast-Track – 6 Weeks – ₦300,000
Program Dates
- August – October, 2024
- October – December, 2024
- February – April, 2025
- May – July, 2025
Curriculum
- 8 Sections
- 23 Lessons
- 10
- Module 1: Python Basics3
- 1.1Understanding the fundamentals of the Python language, including variables, data types, operators, control flow, and functions.
- 1.2Learning about Python’s syntax and conventions for writing clean and readable code.
- 1.3Working with Python’s built-in data structures, such as lists, dictionaries, tuples, and sets.
- Module 2: Object-Oriented Programming (OOP) in Python3
- Module 3: Python Libraries and Frameworks3
- 3.1Exploring popular Python libraries and frameworks, such as NumPy, Pandas, Matplotlib, and TensorFlow.
- 3.2Leveraging these libraries to perform tasks such as data manipulation, scientific computing, data visualization, and machine learning.
- 3.3Understanding how to install and manage Python packages using tools like pip and virtual environments.
- Module 4: Web Development with Python3
- Module 5: Data Analysis and Visualization3
- Module 6: Testing and Debugging2
- Module 7: Deployment and Scalability3
- 7.1Understanding deployment options for Python applications, including local environments, virtual machines, and cloud platforms.
- 7.2Optimizing code and considering scalability and performance factors.
- 7.3Utilizing tools like Docker and Kubernetes for containerization and orchestration of Python applications.
- Module 8: Best Practices and Code Quality3
- 8.1Following coding standards and best practices, such as PEP 8, for writing clean, maintainable, and efficient Python code.
- 8.2Using version control systems like Git to manage code repositories and collaborate with other developers.
- 8.3Implementing code documentation and using code linters to ensure code quality.
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