Most engineering teams today say they’ve adopted AI coding tools like Cursor, GitHub Copilot and Claude Code. The tools are ...

Abstract: Detecting vulnerabilities in source code using deep learning models is emerging as a valuable research area. The key issue in using deep learning to detect vulnerabilities is the accurate ...

Abstract: Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access scheme for enabling massive connectivity in next generation wireless networks. However, current SCMA ...

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 ...

Thank you for sharing this great work! While reviewing the code in model/load_Comparison_model.py, I noticed a small detail that might need clarification or correction. con_v_1 = Conv3D(8, (3, 3, 3), ...

According to @DeepLearningAI, Anthropic launched Claude Sonnet 4.5 with a variable reasoning-token budget, expanded 200k–1M token context windows, improved coding and reasoning benchmark performance, ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Ask any Python developer about their least favorite part of the job, and environment management will top the list. The endless juggling of virtual environments, dependency conflicts, and version ...

—you’re not alone. This issue occurs when Windows can’t locate Python’s executable in your system’s PATH. Luckily, there are several simple ways to fix it, so you can run Python and pip from any ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.