Programming for Students

Practical, friendly, and hands-on tutorials to get you building intelligent projects — even if you’re new to coding.

Who this is for

High school and university students, beginners, and anyone starting their journey into programming & AI. No prior experience required.

What you’ll learn

Python basics (variables, control flow, functions)
Working with data using Pandas and NumPy
Visualizing results with Matplotlib
Intro to Machine Learning with Scikit-learn
Building simple web apps with Streamlit or Flask

Lesson structure

Each lesson includes a short explanation, a code example you can run, and a mini exercise to test your skills.

Concept explained in plain language
Step-by-step code walkthrough
Mini project or exercise
Further reading & resources

Quick starter: Python example

Copy & paste this into a file named hello.py and run with python hello.py.

# hello.py
name = input("What's your name? ")
print(f"Hello, {name}! Welcome to AI-InsightLab's programming lessons.")

# small math: mean of a list
nums = [4, 8, 15, 16, 23, 42]
mean = sum(nums) / len(nums)
print('Mean =', mean)

Exercise 1: Modify the program to ask the user for a list of numbers (comma-separated) and print the mean and median.

Mini project idea (for beginners)

Create a simple “Study Tracker” app using Streamlit that logs study sessions (subject, minutes) and shows total time per subject as a bar chart.

# app.py (Streamlit)
import streamlit as st
import pandas as pd

st.title('Study Tracker')
subject = st.text_input('Subject')
minutes = st.number_input('Minutes', min_value=1)
if st.button('Add session'):
    st.write(f'Added {minutes} minutes for {subject}')

# (In lessons we show how to persist this to a CSV and plot totals.)

Resources & next steps

Interactive Python: Repl.it, Google Colab
Beginner courses: CS50 (Harvard), freeCodeCamp
Python docs & tutorials (official)

Programming for Beginner