Introduction When dealing with large datasets in PySpark, it's common to encounter situations where you need to manipulate string data within your DataFrame columns. One such common operation is extracting a portion of a string—also known as a substring—from a column. In this tutorial, we will...
Introduction FastAPI is a modern web framework that empowers developers to build web APIs quickly and efficiently using Python. A POST endpoint in FastAPI allows clients to submit data to the server, often for creating new resources. One part of a POST request ist the Request Body, which contains the...
Introduction FastAPI is a modern web framework that empowers developers to build web APIs quickly and efficiently using Python. A GET endpoint allows clients to retrieve data from a server. In a GET request, query parameters allow passing additional information to an endpoint via the URL's query string,...
Introduction FastAPI is a modern web framework that empowers developers to build web APIs quickly and efficiently using Python. A GET endpoint allows clients to retrieve data from a server. In a GET request, path parameters can be used to pass values directly in the URL to retrieve specific resources....
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...
Introduction Building an interactive chatbot interface is easier than ever with tools like Gradio. Gradio is an open-source Python library that allows you to create user-friendly interfaces for machine learning models and other Python functions with minimal effort. In this post, we'll walk through the steps of creating...
Introduction The Requests module offers a simple and user-friendly way of making HTTP requests in Python. Whether you are retrieving data from a web page, interacting with an API, or sending information to a server, the Requests module makes the task straightforward. In this tutorial, we will explore how to...
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...
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....