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Python vs R en ciencia de datos

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Python vs R en ciencia de datos

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Comparativa de Python y R en ciencia de datos

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Universidad FUCS
Universidad FUCS
Colombia

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Python vs R en ciencia de datos
 

Python vs R en ciencia de datosOnline version

Comparativa de Python y R en ciencia de datos

by Universidad FUCS
1

El vector en Python es la unidad natural de trabajo (el vector es el concepto natural en R).

2

En R, la indentación delimita bloques obligatoriamente (no usa llaves).

3

R fue concebido por estadísticos para hacer estadística.

4

Python es más cómodo cuando el análisis debe integrarse con otros sistemas; R es más cómodo para informes estadísticos de alta calidad.

5

Proyectos maduros combinan ambos lenguajes y herramientas para aprovechar sus fortalezas.

6

Python y R concentran hoy la mayor parte de la actividad analítica en investigación, salud e industria.

7

El Zen de Python favorece que exista una única forma evidente de hacer las cosas y que la legibilidad importe.

8

x[0] es el primer elemento en R (indexación empieza en 1).

9

Python comenzó como lenguaje de propósito estrictamente estadístico.

10

La asignación en Python usa flecha (<-) en lugar de el signo igual (=).

11

Las estructuras de datos nativas incluyen DataFrame de pandas en Python y data.frame en R.

12

La indexación en Python empieza en 1, no en 0.

 
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