
Live-coding session demonstrating real-time dashboard creation using KSQL, Python, and JavaScript. Showcases rapid development of KPI visualization tools for organizations or personal projects.

Explore Abzu's QLattice, an explainable AI technology inspired by Feynman's path integrals. Learn how it predicts and explains outcomes using simple mathematical equations, demonstrated through a heart failure case study.

Explore Geometric Deep Learning with StellarGraph, an open-source Python library for network-structured data analysis. Learn its applications, design philosophy, and implementation in real-world scenarios.

Explore ghidriff, an open-source Python package for efficient binary diffing using Ghidra. Learn about its command-line interface, function matching heuristics, and markdown output for simplified patch analysis and vulnerability research.

Explore Halide for high-speed image processing in 3D machine vision, including the transition from OpenCL, benefits, and challenges faced in real-world applications.

Explore async generators in Python with working examples, internal implementation, and practical use cases. Gain insights from Python core developer Łukasz Langa.

Explore threat modeling as a development tool, learning its principles, techniques, and value for developers, managers, and testers. Gain insights on implementing continuous threat modeling and using Pytm for a Pythonic approach.

Explore Hedy, a gradual programming language designed for multilingual learning. Discover its unique levels, syntax evolution, and the challenges of creating an inclusive coding environment for diverse languages and cultures.

Learn to leverage Python for information security tasks, enhancing your cybersecurity toolkit with practical coding skills and automation techniques.

Explore Android socket programming, security implications, and techniques for identifying and analyzing sockets. Learn about different socket types and their uses in Android development.

Explore automated malware analysis techniques for threat intelligence, including kill chain concepts, Python coding, and C2 clustering to enhance cybersecurity defenses.

Explore YARA for malware detection, covering heuristics, memory analysis, and comparison with other frameworks. Learn to create effective rules for identifying malicious capabilities.

Explore Empire's evolution, new features, and design decisions in this comprehensive overview of the popular post-exploitation framework's development and community impact.

Explore effective log data generation in complex environments, focusing on meaningful data, thresholds, and log management systems for improved security and analysis.

Learn to create efficient Windows timelines using Python, MySQL, and shell scripting for enhanced digital forensics and incident response capabilities.

Explore real-world applications of predictive analytics and machine learning in IT security, covering data mining, modeling techniques, and practical implementation strategies.

Learn to create covert communication channels using Scapy and Python. Explore techniques for hiding data, constructing protocols, and implementing command and control systems in network traffic.

Explore PANDA, an open-source cloud networking solution, covering its objectives, features, and architecture. Learn about its performance stack, traffic flow, and global layout.

Explore decentralization's role in enhancing security and freedom, covering VPNs, autonomous tools, and innovative projects like IPFS and Magic Wormhole.

Explore Railgun, a Python-based post-exploitation tool for macOS, learning its implementation, memory handling, and practical demonstrations.

Learn why Django excels in secure web development, covering key security features and best practices to protect against common vulnerabilities and threats.