Python and JavaScript share many foundational programming concepts: both are interpreted, object-capable, and dynamically typed. Both languages provide similar primitive types such as integers, floats, strings, and Booleans, and both support lists/arrays and objects/dictionaries for compound data. Functions, default parameters, loops, and conditionals operate in comparable ways across the two languages. Key differences appear in syntax and style: Python uses indentation for blocks, the def keyword for functions, and tends to be more concise. Prior experience in JavaScript accelerates learning Python, with the primary effort being adaptation to Pythonic conventions and syntax.
If you already know JavaScript, learning Python will feel easier because many core concepts are the same. Both languages use similar data types (strings, numbers, lists/arrays, objects/dictionaries), functions with default parameters, and control flow (loops, conditionals). The biggest differences are in syntax: Python relies on indentation instead of curly braces, uses keywords like def instead of function, and is generally more concise. Your JavaScript knowledge gives you a strong head start-you'll just need to adjust to Python's style and rules.
JavaScript and Python are interpreted programming languages, meaning their runtime environments use an interpreter (or engine) that parses and executes code one statement at a time. The two languages are also "object-based" - everything is (or can be treated as) an object: strings, numbers, data structures, functions, etc. Primitive Types First up, JavaScript and Python have similar built-in data types. For example, both use numeric data types (integers and floats), strings and Booleans.
Python and JavaScript are "dynamically typed" languages, which means you do not have to set the type of a variable explicitly. The data type is set when you assign a value to a variable. In JavaScript, you use the typeof operator to verify the data type of a variable. Python provides a similar built-in function, type(). You can convert from one type to another, like a string to a number, in Python with the int() and float() functions:
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