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21 cards

Python Easy Theory

Core data types in Python

Core Python data types include numbers, strings, lists, tuples, sets, dictionaries, booleans, and `None`.

Mutable and immutable types differ
Some are ordered, some are hash-based
Choose types based on access and update patterns

#basics #data-types #python

Core data types in Python

Python Easy Theory

Dynamic typing and strong typing in Python

Python is dynamically typed because types are checked at runtime, and strongly typed because values do not silently coerce across unrelated types.

Names bind to objects
Type checks happen at runtime
Explicit conversion is preferred

#basics #python #typing

Dynamic typing and strong typing in Python

Python Easy Theory

Interpreted vs compiled in Python

Python source is usually compiled to bytecode first, then executed by the interpreter's virtual machine.

Source is not run directly
CPython compiles to bytecode
Execution still happens inside an interpreter

#basics #python #runtime

Interpreted vs compiled in Python

Python Easy Theory

Mutable vs immutable objects

Mutable objects can change in place; immutable objects require a new object for a changed value.

List and dict are mutable
str and tuple are immutable
Matters for side effects and hashing

#basics #objects #python

Mutable vs immutable objects

Python Easy Theory

Python operators overview

Python includes arithmetic, comparison, logical, membership, identity, bitwise, and assignment operators.

Operator families solve different problems
`is` is identity, `==` is equality
Bitwise operators are lower-level but still interview-relevant

#basics #operators #python

Python operators overview

Python Easy Theory

Python overview and key features

Python is a high-level, readable, batteries-included language that supports procedural, object-oriented, and functional styles.

Readable syntax
Large standard library
Works well for scripting, backend, data, and automation

#basics #overview #python

Python overview and key features

Python Easy Theory

Truthy and falsy values in Python

Python treats certain values as false in conditionals, including `False`, `None`, zero values, and empty containers.

Empty collections are falsy
Most objects are truthy by default
Truthiness powers concise condition checks

#basics #python #truthiness

Truthy and falsy values in Python

JavaScript Easy Theory

Date and time basics in JavaScript: Date object and common date methods

JavaScript's `Date` object represents points in time and exposes local or UTC getters, setters, and formatting helpers.

Dates are stored as timestamps
Timezone handling can surprise people
Common methods expose year, month, day, and time parts

#basics #date #javascript

Date and time basics in JavaScript: Date object and common date methods

JavaScript Medium Theory

Function declarations, function expressions, arrow functions, default parameters, rest parameters, callbacks, higher-order functions, first-class functions, IIFE, and pure functions

JavaScript functions are first-class values, which is why callbacks, higher-order utilities, and different function forms all matter.

Declarations and expressions behave differently
Arrow functions change `this` behavior
Pure functions avoid hidden side effects

#basics #functions #javascript

Function declarations, function expressions, arrow functions, default parameters, rest parameters, callbacks, higher-order functions, first-class functions, IIFE, and pure functions

JavaScript Easy Theory

JavaScript arrays, array methods, and push/pop/shift/unshift operations

Arrays are ordered list-like objects with mutation helpers like `push`, `pop`, `shift`, and `unshift`.

Array methods mix mutation and non-mutation
Front operations are typically costlier than tail operations
Arrays are objects under the hood

#arrays #basics #javascript

JavaScript arrays, array methods, and push/pop/shift/unshift operations