Python
A readable, general-purpose language used across scripting, data, and AI.
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Overview
Python emphasizes readable syntax and a large standard library, making it a common first language and the dominant choice for data science, machine learning, and scripting/automation. It runs on the server side (unlike JavaScript's browser origins) via a standard interpreter.
- What it is
- A dynamically-typed, interpreted, general-purpose language known for readable syntax.
- Why it's used
- It reads close to plain English, has a huge ecosystem (especially for data/AI), and is a strong general-purpose backend language.
- Where it fits
- After general programming basics; a common entry point into data science, automation, or backend development.
Core concepts
- Variables and types
- Functions
- Lists, tuples, dicts, sets
- Classes and objects
- Exception handling
Example
f-strings (f"...") embed expressions directly in string literals -- one of several syntax choices that make Python read close to plain English.
def greet(name):
return f"Hello, {name}!"
print(greet("world"))Common use cases
- Scripting and automation
- Data science and machine learning
- Backend web services (Django, Flask)
Project ideas
- An expense tracker with file persistence
- A script that processes a CSV file and prints a summary