AIPython & Online Learning Resources for Artificial Intelligence: Foundations of Computational Agents (3rd Edition)

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Artificial Intelligence (AI) is no longer just an abstract concept studied in research labs- it’s shaping industries, driving innovation and transforming the way humans interact with technology. To build truly intelligent systems, however, learners need both a solid theoretical foundation and practical hands-on tools. That’s where Artificial Intelligence: Foundations of Computational Agents (3rd Edition) by … Read more

Agentic Design Patterns – A Hands-On Guide to Building Intelligent Systems by Google’s Antonio Gulli

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Artificial Intelligence is entering a new era. No longer limited to answering questions or generating text, today’s systems are evolving into autonomous agents – intelligent entities that can reason, plan, collaborate, and act. This shift requires a structured way of thinking about design and implementation. Antonio Gulli’s Agentic Design Patterns: A Hands-On Guide to Building … Read more

ART: Agent Reinforcement Trainer – Simplifying Reinforcement Learning for LLMs

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In recent years, the rise of large language models (LLMs) has opened the door for more intelligent and capable agents. However, training agents to perform multi-step tasks reliably remains challenging, primarily due to the need for careful reward function engineering. Enter (ART – Agent Reinforcement Trainer) an open-source framework designed to streamline reinforcement learning (RL) … Read more

PySpark Cheatsheet: The Ultimate Quick Reference for Big Data & Machine Learning

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If you are working with big data, distributed computing, or data pipelines, then Apache Spark is likely already on your radar. And when it comes to using Spark with Python, PySpark is the go-to library. However, with so many functions and modules (SQL, DataFrames, MLlib, Streaming), remembering everything can be overwhelming. That’s why this Cheatsheet … Read more

Mastering the Maximum Average Subarray I Problem in Python – LeetCode 75 Explained

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The Maximum Average Subarray I problem from LeetCode 75 is a common interview question that tests your understanding of sliding window techniques, array traversal, and optimization. The task is straightforward: given an integer array and a window size k, find the contiguous subarray of length k that has the maximum average. In this blog post, … Read more

Mastering the Maximum Number of Vowels in a Substring Problem in Python – LeetCode 75 Explained

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The Maximum Number of Vowels in a Substring of Given Length problem from LeetCode 75 is a common coding interview question that tests your understanding of sliding window techniques, string traversal and efficient counting. The task is to find the maximum number of vowels in any substring of a given length k in a string … Read more

Mastering the Container With Most Water Problem in Python – LeetCode 75 Explained

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The Container With Most Water problem from LeetCode 75 is a classic coding interview question that tests your understanding of two-pointer techniques, greedy strategies and area calculation logic. At first glance, the problem seems simple: given a list of heights, find the two lines that together with the x-axis form a container that holds the … Read more

Mastering the Max Number of K-Sum Pairs Problem in Python – LeetCode 75 Explained

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The Max Number of K-Sum Pairs problem from LeetCode 75 is a common interview question that tests your understanding of sorting, two-pointer techniques, and pair sum calculations. The challenge is simple to describe: given an array of numbers and a target sum k, determine the maximum number of pairs whose sum equals k. However, solving … Read more

SciPy Cheatsheet: The Ultimate Quick Reference Guide for Python Scientific Computing

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When working with scientific computing, mathematics, data analysis or optimization in Python, the SciPy library is one of the most powerful tools you can use. Built on top of NumPy, SciPy extends its functionality with specialized modules for linear algebra, optimization, signal processing, integration, interpolation and more. This SciPy Cheatsheet serves as a quick reference … Read more

PyTorch Cheatsheet: The Ultimate Quick Reference for Beginners and Developers

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When it comes to deep learning frameworks, two names dominate the field: TensorFlow and PyTorch. While TensorFlow has been around longer, PyTorch has quickly gained popularity due to its flexibility, dynamic computation graph and Pythonic style. Researchers, developers, and data scientists across the globe use PyTorch for everything from computer vision to natural language processing. … Read more

The Ultimate TensorFlow Cheatsheet: From Basics to Advanced

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If you are starting your journey in machine learning or deep learning, you will likely come across TensorFlow. Built by Google, TensorFlow is one of the most popular open-source libraries for building and deploying machine learning models. From powering image recognition systems to natural language processing models, TensorFlow is the go-to framework for developers, researchers … Read more