Tag: python
-
How to Run Pytest Program?
When you’re building something in Python—whether it’s a personal project, an API, or a startup idea—one thing is certain: bugs happen. And while debugging can be fun (sometimes), wouldn’t it be better to catch issues before they cause problems? That’s where testing comes in. In today’s blog, we’ll explore how to test and run your…
-
What is the difference between pytest and unittest
When it comes to testing in Python, two popular frameworks often come into play: unittest vs pytest. Choosing the right one can make a big difference in how you write, run, and maintain your tests. In this blog, we’ll explore what sets these two apart and help you understand which one might be better suited…
-
Python Get Current Directory – A Complete Guide
When creating software with Python, the file system is something you will often interact with. You will be reading files, writing logs, processing datasets, handling configuration files, etc. In all of these actions, you will be working in reference to the current working directory (CWD), a concept that is foundational for every Python stylistic choice…
-
Top Tools for Static Analysis Help in Your Python Projects
Are you tired of chasing bugs in your python code? If you are, then you are in the right place! Yes, this article is your complete guide about harnessing the power of static code analysis tools and how they can greatly amplify your productivity by finding errors before running the code. This blog post will…
-
Top 8 Code Coverage Tools for Free: A Developer’s Guide to Smarter Testing
In software development, code coverage is more than just a metric—it’s a roadmap to understanding how thoroughly your tests exercise your codebase. High code coverage reduces the risk of undetected bugs, improves code quality, and instills confidence in your releases. But with so many tools available, how do you choose the right one—especially when budget…
-
Prompt Engineering for Python Code Generation with Keploy
Have you ever had a staring contest with a blinking cursor, waiting for your brain to come up with Python code that actually works? Don’t worry – you’re not alone! Enter the world of prompt engineering, a skill that turns AI tools like ChatGPT and Keploy into your ultimate code-writing sidekicks. Whether you’re a pro…
-
Python Testing with Pytest: Features & Best Practices
The importance that we give to developing the application with the software engineering best practices, and principles, the equal importance and significance lies to the unit testing side of the codebase. This is where Pytest, a robust, scalable, feature-rich, unit testing framework for Python comes into picture. It’s being widely used by many open source…
-
Finding Elements in a List using Python
When working with Python, lists are one of the most versatile data structures you’ll come across. It works majorly like Arrays, as seen in other programming languages. The lists allow you to store collections of items, such as integers, strings, or even other lists, and provide numerous ways to access and manipulate the data stored…
-
Top 5 Best Python IDE to use in 2024
Introduction Python is one of the most popular programming languages and choosing the right Integrated Development Environment (IDE) is essential for an efficient workflow. Whether you are a beginner or an experienced developer, choosing the right and best IDE is important because each developer’s needs are unique, whether working on scientific projects, professional applications, or…
-
Unit Testing in Python is way more convenient than you’ve thought
Introduction As software developers, we have to write a lot of unit tests for our software. And for the dynamic nature and the ease of writing tests alongside the code, Python can be a viable option for unit testing of our software. So, let’s dive into the nitty-gritty of writing unit tests and explore the…
