Python

Python

100 posts
PySpark - Count Rows and Columns of a DataFrame
Academy Membership PySparkPython

PySpark - Count Rows and Columns of a DataFrame

Introduction In data processing and analysis with PySpark, it's often important to know the structure of your data, such as the number of rows and columns in a DataFrame. This is crucial for various operations, including data validation, transformations, and general exploration. In this tutorial, we'll...

How to Containerize a Gradio App with Docker: A Step-by-Step Guide
Academy Membership GradioDocker

How to Containerize a Gradio App with Docker: A Step-by-Step Guide

Introduction Building and deploying machine learning apps can sometimes be a complex task, but using Gradio, a Python library for quickly building interactive web apps for your ML models, simplifies it significantly. To make your app easily deployable across different environments, containerizing it using Docker is a perfect solution. In...

PySpark - Count Distinct Values of a DataFrame Column
Academy Membership PySparkPython

PySpark - Count Distinct Values of a DataFrame Column

Introduction In this tutorial, we want to count the distinct values of a PySpark DataFrame column. In order to do this, we use the distinct().count() method and the  countDistinct() function of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession from pyspark.sql....

PySpark - How to create and use Broadcast Variables
Academy Membership PySparkPython

PySpark - How to create and use Broadcast Variables

Introduction In distributed computing environments like Apache Spark, efficient data handling is critical for performance. One useful feature for optimizing computations is broadcast variables. Broadcast variables allow you to share large read-only data across all nodes in a Spark cluster without duplicating the data for each task. In this tutorial,...

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