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Sophia Portillo

Transcript

PRESENTACIóN Challenge 3

START

ÍNDICE

01.

Software

02.

Programm

03.

Programming language

04.

High language programming language

05.

Low level programming language

06.

Phyton

A collection of data or computer instructions that tell a computer how to perform specific tasks. It includes applications, operating systems, and tools.

SOFTWARE

A set of instructions written in a programming language that a computer executes to perform a particular task.

PROGRAMM

A formal language comprising a set of instructions that can be used to produce software and manage computer hardware. Examples include Python, Java, and C++.

PROGRAMMING LANGUAGE

High-level programming language

A high-level programming language is a type of programming language that provides a strong abstraction from the machine's hardware. It is designed to be easy for humans to read and write, using syntax and semantics that are closer to natural language or mathematical notation. High-level languages manage much of the complexity of programming tasks, making it easier to develop and maintain software.

Java: Designed to be platform-independent, Java is commonly used in enterprise environments, Android app development, and large systems.

Python: Known for its readability and simplicity, Python is widely used for web development, data analysis, artificial intelligence, and more.

Machine Code: The lowest-level programming language, consisting of binary code (0s and 1s) that is directly executed by a computer's CPU. Each instruction in machine code corresponds to a specific operation or command that the CPU can perform.

Low-level programming language

A language that provides minimal abstraction from a computer's hardware, allowing direct manipulation of system resources.

Assembly Language: A symbolic representation of a computer's machine code, assembly language is specific to a particular computer architecture and allows direct manipulation of hardware.

Python

IlKey Features:

  • Readable syntax
  • Extensive libraries (e.g., NumPy, pandas)
  • Cross-platform (Windows, macOS, Linux)
  • Supports multiple paradigms (procedural, object-oriented, functional)

High-Level Language: Easy to read and write

Creator: Guido van Rossum

First Released: 1991

Popular Uses: Web development, data analysis, AI, automation

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