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Variables are how your program stores information. Understanding them is the foundation for everything in AI.
In Python you don't need to declare the type โ it's inferred automatically.
name = "Ahmed" # text (str)
age = 25 # integer (int)
score = 98.5 # decimal (float)
is_student = True # boolean (bool)
| Type | Name | Example | Use in AI |
|------|------|---------|----------|
| int | Integer | 42 | epoch count, batch size |
| float | Decimal | 0.001 | learning rate, accuracy |
| str | Text | "GPT" | model names, text data |
| bool | Boolean | True | flags, training conditions |
scores = [95, 87, 92, 88, 91]
models = ["GPT-4", "Claude", "Gemini"]
print(scores[0]) # 95
print(models[-1]) # Gemini
print(scores[1:3]) # [87, 92]
models.append("Llama")
model_info = {
"name": "Claude",
"company": "Anthropic",
"context": 200000,
}
print(model_info["name"]) # Claude
model_info["version"] = "claude-opus-4-5"
dimensions = (224, 224, 3) # CNN image size โ immutable
unique_labels = {0, 1, 2, 1, 0}
print(unique_labels) # {0, 1, 2}
model = "Claude"
accuracy = 94.7
result = f"Model {model} reached {accuracy}%"
print(result)
# โโโ ู
ุชุบูุฑุงุช ูุฃููุงุน ุงูุจูุงูุงุช ูู ุณูุงู AI โโโ
model_name = "claude-opus-4-5"
accuracy = 0.947
training_epochs = 50
is_deployed = True
print(f"ุงููู
ูุฐุฌ: {model_name}")
print(f"ุงูุฏูุฉ: {accuracy * 100:.1f}%")
epoch_losses = [2.5, 1.8, 1.2, 0.9, 0.7, 0.6, 0.55, 0.52]
print(f"
ุงูู loss ุงูุฃูู: {epoch_losses[0]}")
print(f"ุงูู loss ุงูุฃุฎูุฑ: {epoch_losses[-1]}")
print(f"ุนุฏุฏ epochs: {len(epoch_losses)}")
models = {
"GPT-4": {"company": "OpenAI", "context": 128_000},
"Claude": {"company": "Anthropic", "context": 200_000},
"Gemini": {"company": "Google", "context": 1_000_000},
}
print("
--- ู
ูุงุฑูุฉ ุงููู
ุงุฐุฌ ---")
for name, info in models.items():
print(f"{name}: {info['company']} | {info['context']:,} token")
raw_score = "87.5"
score_float = float(raw_score)
score_int = int(score_float)
print(f"
ุงูุฏุฑุฌุฉ: {raw_score!r} โ {score_float} โ {score_int}")
print(f"ููุน accuracy: {type(accuracy).__name__}")