README-pyspark.md

Usando pySpark:

Consola

docker exec -it master bash
root@588acf96a879:/app# pyspark

file = spark.read.text("/dataset/yahoo-symbols-201709.csv")
file.count()
for line in file.take(10):
  print(line)

Usando Jupyter Notebook

Acceda al Jupyter Notebook aqui, los notebook disponibles en ese workshop están en Github

Material de lectura:

• Apache Spark in Python: Beginner's Guide
• Introduction to PySpark
• pySpark: Evaluating the machine learning model

Visualización de Datos

• Python Data Visualization with Matplotlib
• Top 50 matplotlib Visualizations
• Seaborn Library for Data Visualization in Python: Part 1

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Gustavo Arjones © 2017-2020