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Python Adventures for Year 8

Python Adventures for Year 8

By admin Categories: Coding
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About Course

Course Overview: Welcome to the Python Adventures course! In this exciting journey, students will expand their Python programming skills and tackle more complex challenges. Through hands-on projects, coding exercises, and creative problem-solving tasks, students will enhance their logical thinking, computational skills, and creativity.

What Will You Learn?

  • By the end of this Year 8 Python programming course, students will have a strong grasp of advanced Python concepts, object-oriented programming, algorithms, web development, GUI programming, and data science basics. This course is designed to prepare students for more advanced programming studies while fostering critical thinking and creativity.

Course Content

Lesson 1: Review and Advanced Variables
o Recap variables, data types, and explore advanced data structures.

Lesson 2: Loops and Iterations
o Dive into loops, iterators, and solving complex problems.

Lesson 3: Functions and Modules
o Master functions, modules, and writing reusable code.

Lesson 4: Advanced Object-Oriented Concepts
o Explore advanced concepts of classes, inheritance, and polymorphism.

Lesson 5: Design Patterns
o Understand design patterns and their application in programming.

Lesson 6: Algorithms and Efficiency
o Study algorithm analysis, time complexity, and efficient solutions.

Lesson 7: Recursion and Backtracking
o Learn recursive algorithms and solving complex problems.

Lesson 8: Introduction to GUI Programming
o Understand GUI libraries and create interactive interfaces.

Lesson 9: Creating a Simple Game
o Design a game using GUI elements and interactive features.

Lesson 10: Advanced Web Development
o Explore advanced HTML, CSS, and JavaScript concepts.

Lesson 11: Building a Dynamic Website
o Develop a dynamic website using Flask and database integration.

Lesson 12: Introduction to Data Science
o Learn about data analysis, visualization, and basic statistics.

Lesson 13: Creating Data Visualizations
o Use libraries like Matplotlib to create compelling data visualizations.

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