Systems | Development | Analytics | API | Testing

When you write a Selenium test, every interaction depends on one crucial step: identifying the right element. Whether it's a button, input field, dropdown, or link, Selenium must find it before it can click, type, or select. This is where element locators come in. These strategies help your Python scripts pinpoint specific pieces of the page, just like a user would. In this guide, you'll learn exactly how to find element in Selenium with Python confidently and consistently.

It's important and useful to schedule background tasks for your Python application. Tasks allow your app to perform time-based or long-running operations without blocking the main thread or slowing down the user-facing functionality of your app. Background tasks can be used for anything from running recurring jobs like data cleanup or reporting, to sending asynchronous emails or other notifications.

You will encounter debugging while developing backend systems, web applications, or automation scripts – it’s an inevitable step in the development life cycle. Debugging is a necessary step preceding any delivery of a software product. The Python ecosystem academic is different in that you may not see your errors until you are running the code. Having a stable way to debug your Python code is very important for continuing your development journey.

You have probably seen pages where fresh information loads in without a page reload, or some forms that submit without an apparent refresh. What is happening here is that API calls are being made to send and receive information in background. API calls generate seamless and responsive application experiences. In this introductory tutorial, you will learn to examine an API call in the Chrome DevTools; replay it in Python, and sanitise the Flask REST API data for safe and organised input into the database.

When it comes to data-driven applications, developers and data engineers are always trying to balance factors such as scalability, speed, flexibility, latency, and availability. In other words, databases and infrastructure are the foundations for well-structured applications: just like bricks are for houses. This article explores Redis' data store features and includes use cases. We'll learn how to use Redis in Python with a step-by-step tutorial. Let's get started!

In this tutorial, we will build a Flask app with Docker, create a background worker with Celery, and use RabbitMQ as the message broker between the two services. This (relatively) simple example will be used to demonstrate how Docker makes it easier to run multiple services and share configuration details between developers. In the last section, we will also build and optimize our app for deployment to Render, so we can avoid some of the common gotchas it is easy to fall victim to along the way!

In the constantly changing landscape of software development, shipping features fast and consistently is a must. Automated testing is one of the central pillars that enable this agility. And for writing solid, scalable, and comprehensible automated tests, Python is a go-to for both developers and QA engineers alike.

In the programming language, Python, binary data and text are often used when working with files, APIs, data encoding and decoding, and networking. In this article, we are going to answer some of the common questions that arise in this process. Some of which include what bytestrings are, how to convert strings to bytes and vice versa, their differences, and many more. This guide will cover all that is required for you to master bytestrings in Python.

If you have spent some time developing Flask applications, you have probably encountered terms like request, session, current_app, and g. You might even use them daily. But have you ever stopped to think about how Flask makes these seemingly global objects available exactly when you need them, especially in a multi-threaded web server environment? Well, the magic lies in Flask's context system. In this article, you will learn what contexts are in Flask and how to use them with practical examples.