Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch.

Package your Python applications for redistribution with one click, no compiling, and almost no additional software.

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

Learn the essential tools and frameworks for creating intelligent AI agents that revolutionize industries and solve complex ...

The analogue in agentic systems is the ReAct (reasoning + action) model, in which the agent has a thought (“I’ll use the map ...

Google reports North Korean hackers using EtherHiding to embed adaptive malware in blockchain smart contracts.

Python’s clean syntax makes recursive functions easier to write and read. However, you need to be mindful of the recursion ...

Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.