Tag: python
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Introduction to REST API in Python
APIs (Application Programming Interfaces) are like bridges that let different software systems talk to each other. Among the many types of APIs, REST APIs are the most popular because they follow a simple and well-defined architecture. In this blog, we’ll explore what REST APIs are, how they work in Python, and how you can build…
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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…
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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…
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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…
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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…
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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…
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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…
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Python Testing with Pytest: Features & Best Practices
Introduction 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…
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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…
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13 Best IDEs for Python developers in 2025 (Updated)
Python remains one of the most loved programming languages in 2025, used everywhere from web development to machine learning and AI. But to get the most out of Python, you need the right IDE (Integrated Development Environment). The IDE you choose can make a big difference in productivity, debugging efficiency, and code quality. Some developers…
