SlipCover is a fast code coverage tool. It tracks a Python program as it runs and reports on the parts that executed and those that didn't. That can help guide your testing (showing code that isn't ...

Abstract: Python is an increasingly popular programming language used in various software projects and domains. Code smells in Python significantly influences the maintainability, understandability, ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

With the Union government notifying the enforcement of the four Labour Codes all over the country, the Tamil Nadu government has found itself in a tight corner with regard to the Code on Social ...

Abstract: When programmers write project code, they may copy or reference some open-source code, which may include defective code, causing vulnerabilities in the project. This causes a potential ...

OpenAI has finally added Code Interpreter to ChatGPT, the most anticipated feature that opens the door for so many possibilities. After ChatGPT Plugins, people have been waiting for Code Interpreter, ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Your browser does not support the audio element. Python is a highly popular programming language, widely used in various fields like software development, data ...

Would you trust an AI agent to run unverified code on your system? For developers and AI practitioners, this question isn’t just hypothetical—it’s a critical challenge. The risks of executing ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

We all know Python. It's one of the most popular programming languages because it's easy to read and quick to get things done. But when you need your code to run incredibly fast, or on tiny, low-cost ...