Systems | Development | Analytics | API | Testing

Selenium Python Tutorial for Beginners

In today’s rapidly evolving software development landscape, the dependability and functionality of web applications are really important. When used in conjunction with Python, Selenium presents a sophisticated answer to many urgent issues faced in the test automation area. It effectively tackles the need for swift, consistent, and precise testing of web applications across various browsers and environments.

Pytest Tutorial: Learn How to Test Python Code | Andrew Knight | #softwaretesting #pythontutorial

Unlock the power of Python testing with Andrew Knight's hands-on demonstration using Pytest, the most popular testing framework in the Python ecosystem. In this insightful video, Andrew guides you through the practical aspects of Pytest, showcasing its features and capabilities for effective and efficient testing in Python projects.

An Introduction to Testing with Django for Python

In a world of ever-changing technology, testing is an integral part of writing robust and reliable software. Tests verify that your code behaves as expected, make it easier to maintain and refactor code, and serve as documentation for your code. There are two widely used testing frameworks for testing Django applications: In this article, we will see how both work. Let's get started!

How to Fix "Function Object is Not Subscriptable" in Python

“Subscriptable” is just a fancy way of saying "something you can use square brackets on to get parts from it.” For example, my_list accesses the element at 0 and key, respectively. In Python you can only use square brackets [] to access elements of a list, array, or dictionary. If you try to do the same thing with a function, you get the “function object is not subscriptable” error.

Guide to Parallel Processing in Python

Parallel processing in computers is like having an efficient team working on different parts of a task simultaneously. In traditional programming, tasks are executed one after the other, like solving a puzzle piece by piece. However, parallel processing divides the task into smaller chunks, and these chunks are handled simultaneously by multiple processors or cores. Python provides modules that allow programs to leverage multiple processor cores efficiently.

40 Years of #Programming Wisdom: Navigating #Windows to #Python and Beyond! | Sanjay Vyas #coding

In this captivating video, join us on a remarkable journey through four decades of programming expertise. Sanjay Vyasr reflects on their career, starting from Windows programming, crafting GUI applications with meticulous detail, progressing through Java, Python, and JavaScript, and adapting to the latest frameworks and languages. Despite the ever-evolving tech landscape, the core essence of programming remains unchanged: solving customer problems efficiently.

Creating Python APIs

REST is an incredibly powerful solution for web APIs in the modern space. It offers a wide array of benefits that can help any service be more efficient, faster to iterate, and more stable. Python is a strong, high-level language that unlocks a high level of functionality across broad categories of systems and devices. It is human-readable, highly efficient, and widely adopted. These two technologies, when combined, can deliver an incredible product in the API space.

An Introduction to REST API with Python

REST API is an acronym that stands for Representational State Transfer Application Programming Interface. REST APIs are used to create "web services" in HTTP requests, which provide data between client and server applications. This article will cover some of the basics of REST APIs and will also walk you through making a basic API using Python. Here are the 5 key takeaways from the article.

How to Deploy a Python Flask app with Heroku

In this tutorial, we will build a simple Flask app that is primed and ready to deploy to Heroku. Once the bare bones of the app are built, we will guide you through the setup process on GitHub and Heroku so that you can start making automatic deploys in no time. But before we dive straight into the code, why choose Flask and Heroku in the first place?