This is my repository for learning Python from scratch.
I started learning Python because I want to understand the basics of programming and improve my logical thinking skills. I don’t have any prior programming background, so this is my first step into the world of coding. However, i have an interest into AI, Machine Learning, Coding & LLM.
So far, I’ve learned some basic Python concepts, such as:
- Variables and Data Types: How to store data in variables.
- User Input: Creating programs that can interact with users.
- Conditionals (
if-else): Making decisions based on certain conditions. - Loops (
for,while): Automating repetitive tasks. - Functions: Organizing code into reusable blocks.
- Attention Mechanism: Understanding how models focus on specific parts of input data.
- Heatmap Visualization : Creating heatmaps to visualize data distributions and model attention.
- Export GIF/MP4 : Saving visual outputs as GIF or MP4 for better presentation and analysis.
- Reinforcement Learning Animation : Random visualization to look agent behaviour.
- Sankey Diagram : Visualizes token interactions using flow diagram.
- Nested Loop : Loop in Loop, use for make 2D structure diagram.
- Simple pattern 2D : Make a simple design with star, cross pattern, multi cross, hollow pyramid diagram
- To-Do List: An app to add, view, and delete tasks.
- Calculator: A program to perform basic math operations.
- Number Guessing Game: A simple interactive game to guess a random number.
- Calculator for Math : Make a simple calculator to work simple math operation.
- Diamond Diagram : Create diamond pattern with plot pattern & colour combination.
- Cube gif & Rotation : Implementation Matplotlib for Cube rotation with gif format.
- Basic Python & Machine learning Theory: Learned about libraries like NumPy and Pandas for Data Analysis & Machine Learning
- Analysis of product sales using the Panda library: Created a simple program to analyze product sales data, calculate revenue, and identify best-selling product.
- Exploring Attention Mechanism: Learned how attention weights work in Transformers and visualized them using heatmaps.
- Heatmap Animation : Created a simple animation to display attention weights using Matplotlib.
- Export as GIF/MP4 : Saved the visualization as a GIF and MP4 file to share.
- Animated Attention Heatmap : Color intensity represents attention strength, Animated layer transitions, Generates GIF output
- Sankey Diagram : Visualizes token interactions using flow diagram with Arrow, Nodes represent tokens/attention, Customizable colors/labels
- Reinforcement Learning Animation : Random action selection, Real-time pole balancing visualization, Outputs GIF of agent behavior
- Loops (
for,while): Automating repetitive tasks (remind). - Functions: Organizing code into reusable blocks (remind).
- Nested Loop : Loop in Loop, use for make 2D structure diagram.
- Simple pattern 2D : Make a simple design with star, cross pattern, multi cross, hollow pyramid diagram
- Loops (
for,while): Automating repetitive tasks (remind). - Functions: Organizing code into reusable blocks (remind).
- Nested Loop : Loop in Loop, use for make 2D structure diagram.
- Simple pattern 2D : Make a simple design with star, cross pattern, multi cross, hollow pyramid diagram.
- Calculator for Math : Make a simple calculator to work simple math operation.
- Diamond Diagram : Create diamond pattern with plot pattern & colour combination.
- Cube gif & Rotation : Implementation Matplotlib for Cube rotation with gif format.
I'm new to programming, starting with Python, Machine Learning, AI, and LLMs. My notes aim to understand how use Python properly.
This my first repository will be updated regularly as I continue learning Python, Machine Learning, AI & LLM 😊
If you have suggestions or ideas for simple projects I could try, feel free to let me know!