The Python-MATLAB Lab

   Introduction to NumPy NumPy (Numerical Python) is a Python library used for working with arrays. It provides: High-performance multidimensional arrays . Mathematical functions to operate on these arrays. Tools for linear algebra, statistics, and random number generation . Why NumPy? Faster and more efficient than Python lists for large datasets. Supports vectorized operations (operations on whole arrays without loops). Installing NumPy You can install NumPy using pip or  python : Verify installation:

   1)Line Graph Purpose: Shows trends over time or continuous data. Example: Stock prices over days, temperature changes.   Purpose: Show trends, patterns, or changes over time or continuous data. Real-life examples: Stock prices over days or months. Temperature change during a week. Website traffic growth over time.  2) Bar Graph Purpose: Compare discrete categories. Example: Sales of different products. What a Bar Chart Is A bar chart shows categories and their values . Each category gets a bar , and the height of the bar shows the value . How It’s Used Compare things easily – you can see which category is bigger or smaller. Example: Compare sales of Product A, B, and C. Show numbers clearly – even without reading numbers, you can see the difference. Used in real life : How many students are in each class Sales of different products in a store Website visits on different pages 3) Horizontal Bar Graph Purpos...