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Backend development delves into the foundational elements of software applications, including server-side logic, databases, and application architecture, crafting robust digital infrastructures for seamless functionality.

Thumbnail of an article about Testing APIs with PyTest: how to effectively use mocks in Python
SOFTWARE DEVELOPMENT

Testing APIs with PyTest: how to effectively use mocks in Python

In this article, we'll explore how to test APIs in Python using the popular PyTest library. We'll also demonstrate how to use mocking to simulate responses from external services, making your tests faster, more reliable, and easier to maintain.
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SOFTWARE DEVELOPMENT

Give Python more speed with type annotations

Have you ever wondered if there is a way to speed up a Python project? I did, and I found such a way by using type annotations. With them programmers have a better understanding of the code base, make fewer silly mistakes, and iterate quicker with new features.
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SOFTWARE DEVELOPMENT

Spying on Python with py-spy

In this article, we will take an in-depth look at py-spy and its capabilities. After reading, you will have a comprehensive understanding of how to leverage py-spy to ‘spy’ on your Python applications, uncover performance issues, and enhance your coding efficiency.
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SOFTWARE DEVELOPMENT

Golang code refactoring: Best practices and a practical use case

Anyone working as a software engineer has experienced diving into existing code written by another person or team. Despite many articles, courses, and blog posts that emphasize the need to write clean and tested code, the reality never really lives up to the idealistic picture presented to us. Inexperience and deadlines, among many other reasons, can leave code repositories with suboptimal documentation, resulting in a constant need for refactoring and a growing to-do list. In this blog post, I would like to invite you to take a peek at the ongoing development of one such repository my team has inherited.
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SOFTWARE DEVELOPMENT
QUALITY ASSURANCE

Best practices for Python code quality — linters

When developing and maintaining software, code quality is of paramount importance. Being confident that code is readable and therefore easier to maintain and more efficient not only makes it easier for developers to work together, but also significantly reduces the likelihood of errors. One effective way to maintain high quality and at the same time ease of use is to use Python linter tools. These tools are helpful in ensuring Python code is clean, consistent and error-free, resulting in a streamlined development process and a better final product.
Thumbnail of an article about Embracing Tox: a powerful automation tool for Python projects
SOFTWARE DEVELOPMENT

Embracing Tox: a powerful automation tool for Python projects

Python has become a popular choice among developers thanks to its versatility, readability, and vast library ecosystem. However, as with any programming language, these projects can become complicated, especially when you need to support multiple Python versions and various dependencies. This is where tox steps in as a powerful automation tool to streamline your project's testing, building, and deployment processes. In this blog post, we'll explore what tox is, the problems it solves, its capabilities, how it's used to automate and standardize testing, and how you can integrate it into your CI/CD pipeline.
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SOFTWARE DEVELOPMENT

25 backend tools to facilitate web development

We all know that appearance matters. However, when it comes to web applications, it is definitely not enough. Your end users might come for the beautiful layout and intuitive interface, but if your application is slow, full of errors, or crashes often, you won’t be able to retain clients. That is why in software development, it is important to pay equal attention to both the backend and frontend of your application. In software, the backend is everything that makes the app work behind the scenes. It connects the frontend, that is, the user-facing part of the application, with the database, where the data is stored.
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SOFTWARE DEVELOPMENT

Why is Rust programming language so popular?

Rust was created to ensure high performance similar to that offered by C and C++,but with emphasis on code safety, the lack of which is the Achilles heel of these two languages. However, Rust has more than just memory safety on its side. High performance while processing large amounts of data, support for concurrent programming, and this together with an effective compiler are other reasons why well-known software heavyweights now use this programming language. Firefox, Dropbox, Cloudflare, and many other companies from startups to large corporations use Rust in production.
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SOFTWARE DEVELOPMENT

Top 7 code coverage tools for Java

It is not a secret that writing code can sometimes take less time than making sure it works correctly. Running tests is crucial to guarantee the new build of your software has a successful release. Automating this task can save a lot of time for your developers and reduce time to market. But how can you be sure the tests you run are efficient enough? It is logical to strive to test as much of your code and as thoroughly as possible. That is why, for example, unit testing is used; it allows testing of smaller, logically isolated pieces of code like a property or a function.
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