This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning. While DataCamp's Introduction to Deep Learning in Python course gives you everything you need for doing deep learning on your laptop or personal computer, you’ll eventually find that you want to run deep learning models on a Graphical Processing Unit (GPU). This p
PythonForDataScience Cheat Sheet PySpark - SQL Basics Learn Python for data science Interactively at www.DataCamp.com DataCamp Learn Python for Data Science Interactively Initializing SparkSession Spark SQL is Apache Spark's module for working with structured data. >>> from pyspark.sql import SparkSession >>> spark = SparkSession \ .builder \ .appName("Python Spark SQL basic example") \ .config("s
This PySpark SQL cheat sheet is your handy companion to Apache Spark DataFrames in Python and includes code samples. You'll probably already know about Apache Spark, the fast, general and open-source engine for big data processing; It has built-in modules for streaming, SQL, machine learning and graph processing. Spark allows you to speed analytic applications up to 100 times faster compared to ot
Learn all about Python dictionary comprehension: how you can use it to create dictionaries, to replace (nested) for loops or lambda functions with map(), filter() and reduce(), ...! Dictionaries (or dict in Python) are a way of storing elements just like you would in a Python list. But, rather than accessing elements using its index, you assign a fixed key to it and access the element using the ke
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