Computer Programming¶

Python for Data Science¶

Essential Python techniques and libraries for data analysis and machine learning applications.

Topics Covered¶

• NumPy & Pandas: Data manipulation and analysis
• Matplotlib & Seaborn: Data visualization
• Scikit-learn: Machine learning algorithms
• Best Practices: Code organization and optimization

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Modern JavaScript¶

Exploring ES6+ features, async programming, and modern web development frameworks.

Topics Covered¶

• ES6+ Features: Arrow functions, async/await, modules
• Node.js: Backend development with JavaScript
• Web APIs: Fetch, WebSockets, and more
• Framework: React, Vue, and modern tools

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