AWS Unified Operations | Amazon Web Services
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AWS Unified Operations | Amazon Web Services
AWS Unified Operations is designed for mission-critical workloads, offering a global team of designated experts who deliver architecture reviews, guided testing, proactive optimization, and five-minute context-specific response times for critical incidents. The top-tier support plan that ensures maximum reliability and performance. Learn more ...
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Análisis de Datos con Python
Curso R y Python para econometría y análisis de datos en economía
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escuelaing.edu.co
Dec 19, 2023
🚀 De mirar tutoriales a programar de verdad. Aprende Python con un plan claro y resultados tangibles. El Programa en Python de UTEC Posgrado te guía paso a paso: algoritmos, estructuras de control y análisis de datos. 🗓️ Inicio: 20 de enero | 💻 Modalidad online en vivo 📲 Únete a los Early Adopters y empieza hoy | UTEC Posgrado
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🚀 De mirar tutoriales a programar de verdad. Aprende Python con un plan claro y resultados tangibles. El Programa en Python de UTEC Posgrado te guía paso a paso: algoritmos, estructuras de control y análisis de datos. 🗓️ Inicio: 20 de enero | 💻 Modalidad online en vivo 📲 Únete a los Early Adopters y empieza hoy | UTEC Posgrado
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Programa con Mica on Instagram: "Desafio de datos con python! Leer un archivo CSV e imprimir su contenido. import pandas as pd df = pd.read_csv(‘datos.csv’) # lee csv en un data frame print(df) print(df.to_string()) # imprime todo el contenido del data frame (sino se imprime solo las primeras y ultimas 5 filas) # Explicación: Este desafío te introduce a la biblioteca Pandas, que es esencial para la manipulación y análisis de datos en Python. Aprenderás a leer archivos CSV y a trabajar con DataFr
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Programa con Mica on Instagram: "Desafio de datos con python! Leer un archivo CSV e imprimir su contenido. import pandas as pd df = pd.read_csv(‘datos.csv’) # lee csv en un data frame print(df) print(df.to_string()) # imprime todo el contenido del data frame (sino se imprime solo las primeras y ultimas 5 filas) # Explicación: Este desafío te introduce a la biblioteca Pandas, que es esencial para la manipulación y análisis de datos en Python. Aprenderás a leer archivos CSV y a trabajar con DataFr
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