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-Napisz program w języku Python, który narysuje wykres funkcji liniowej y=x.
+Programming Challenges - Increasing Difficulty
 
-Author: AI
+Task 1: Basic Plotting
+Create a Python script that plots a simple quadratic function y = x^2 for x values from -5 to 5.
+Requirements:
+- Use NumPy to generate the x values (at least 100 points)
+- Calculate corresponding y values
+- Plot the function using Matplotlib
+- Add appropriate labels and title
 
+Task 2: Multiple Functions
+Extend your script to plot two functions on the same graph:
+- y1 = sin(x)
+- y2 = cos(x)
+Requirements:
+- Plot both functions for x values from 0 to 4π
+- Use different colors for each function
+- Add a legend to distinguish the functions
+- Include axis labels and a title
 
+Task 3: Parametric Plotting
+Create a script that plots a parametric curve (e.g., a spiral or Lissajous figure).
+Requirements:
+- Use parametric equations to generate x and y coordinates
+- Plot the curve with appropriate styling
+- Add labels, title, and grid
+- Experiment with different parameter ranges
+
+Task 4: Data Visualization
+Create a script that visualizes a dataset (you can generate synthetic data or use built-in datasets).
+Requirements:
+- Create at least 2 different types of plots (e.g., line plot, scatter plot, bar chart)
+- Include proper labels, titles, and legends
+- Use color effectively to enhance understanding
+- Add annotations or special markers for important data points
+
+Task 5: Interactive Plotting
+Create an interactive plot where users can modify parameters and see the results in real-time.
+Requirements:
+- Use matplotlib widgets or another interactive library
+- Allow users to change at least 2 parameters of a function
+- Update the plot dynamically as parameters change
+- Include clear instructions for the user
+
+Task 6: Advanced Visualization
+Create a comprehensive visualization that combines multiple plot types in subplots.
+Requirements:
+- Create at least 3 subplots with different types of visualizations
+- Share axes where appropriate
+- Use consistent styling across all subplots
+- Include a main title for the entire figure
+- Save the figure to a file with high resolution
+
+Task 7: Object-Oriented Plotting
+Refactor one of your previous scripts to use object-oriented Matplotlib approach.
+Requirements:
+- Use Figure and Axes objects explicitly
+- Create reusable plotting functions or classes
+- Implement proper error handling
+- Document your code with comments or docstrings
+
+Task 8: Custom Visualization
+Create a unique visualization of your choice that demonstrates advanced Matplotlib features.
+Requirements:
+- Use advanced features like custom colormaps, 3D plotting, or animations
+- Include data analysis or transformation
+- Make the visualization informative and visually appealing
+- Provide a clear explanation of what the visualization shows