Data Types in Python - Beginner's Course

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Tipos de Datos en Python

Este curso te ayudará a profundizar en los tipos de datos y a trabajar con ellos. Aquí aprenderás las operaciones básicas y todo lo relacionado a los números, los datos booleanos y las cadenas (strings). Este curso consiste en un montón de tareas prácticas con las que al final te convertirás en un programador hábil.

Course

Gain insight into a topic and learn the fundamentals

4.7

(619)

Beginner

Recommended experience

34 chapters

Flexible schedule

Learn at your own pace

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What you will learn

Maneja las operaciones fundamentales de los tipos de datos numéricos, como los números enteros, incluyendo cálculos matemáticos básicos y avanzados.
Comprende la mutabilidad de los tipos de datos y realiza cálculos de tiempo para diversas operaciones.
Reconoce el tipo de dato booleano con declaraciones lógicas y mejora la toma de decisiones con operadores and, or, not.
Perfecciona la manipulación de las cadenas con la indexación, el slicing y las operaciones comparativas, asegurando una presentación efectiva de los datos.

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Assessments34 assignments

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There are 6 modules in this course

Los tipos de datos numéricos son cruciales en Python, por lo que es importante empezar con ellos. Aquí trabajarás con operaciones matemáticas sencillas y descubrirás los propósitos de aprender diferentes tipos de datos numéricos.

El objetivo principal de esta sección es clarificar los tipos de datos booleanos; se trata de un subtipo de los datos numéricos, pero uno más desafiante. Ya que siempre es mejor destacar en los temas más complicados, esta sección se convertirá en una parte valiosa de tu currículo.

Las strings de caracteres son una forma de implementar nuestras frases en Python, es decir, de dar instrucciones a los usuarios quiénes son el público objetivo de tu programa. De hecho, siempre es bueno ser capaz de trabajar con strings ya que deberán ser utilizadas en tu código. Pronto entenderás por qué.

Este capítulo consta de tareas prácticas que combinan todos los temas estudiados con un poco de teoría.

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Why people choose Codefinity for their career

Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox

My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner

I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan

As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea

I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening

The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

Learner reviews

4.8

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Richard Krutop

Reviewed on Nov 17, 2024

I love that the learning is made easy with simple instruction and real-life application. It's also well-structured and I am enjoying it so far.

Rudy Beugels

Reviewed on Nov 15, 2024

Recommended if you're interested in learning Python

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