Exposing Hidden Exploitable Behaviors in Programming Languages Using Differential Fuzzing
Uncover hidden vulnerabilities in programming languages through differential fuzzing. Learn to identify undocumented functions, exposed sensitive data, unexpected code execution, and potential security risks.
Demystifying AI and Machine Learning to Enhance SOC Detection
Demystifies AI and machine learning for SOC teams, focusing on practical applications like data leak prevention. Includes live demo and insights from Credit Agricole's SOC experience.
Chasing Your Tail With a Raspberry Pi
Methodology for detecting wireless signal tracking using low-cost hardware and Python. Covers SIGINT techniques, MAC address randomization, and provides code for DIY implementation.
Python Physics: Numerical Line Integrals with Python
Explore numerical line integral calculations in Python for classical mechanics, breaking paths into short steps and comparing with analytical methods.
Python Physics: Finding the Height of an Elevator From Acceleration
Estimate elevator height using smartphone acceleration data and Python for numerical integration. Learn practical physics application.
Log Softmax Explained with Python
Explore log softmax implementation in Python, enhancing numerical stability for machine learning. Gain insights into softmax limitations and practical coding solutions.
Python.jl - Seamlessly Blend Python and Julia
Explore seamless Python-Julia integration, featuring demos, capabilities, challenges, and insights into extreme DSL embedding in Julia.
Interactive Brokers Web API Python Tutorial - Part 2
Explore Interactive Brokers Web API using Python. Learn to authenticate, access endpoints, retrieve contract info, request market data, and place orders programmatically in this hands-on tutorial.
Finding Hidden Gems in Temporary Mail Services - Monitoring and Security Analysis
Discover how to monitor temporary email services using a Python tool to uncover valuable information, from account credentials to bitcoin wallets, while learning about security implications and red team activities.
Creating a Q&A Tool with Langchain and OpenAI
Create a Q&A tool using Langchain and OpenAI for machine learning and data science applications. Learn to implement this powerful combination for efficient question-answering systems.
How to Set Up Environment and Root of Your ML Application
Configure environment variables and establish file structure for efficient ML application development.
Connecting Raspberry Pi to Azure IoT Hub for Sensor Data Transmission
Aprende a conectar tu Raspberry Pi a Azure IoT Hub y envía datos de sensores a la nube para análisis y monitoreo en tiempo real.
Python 3D Display of AC Voltage
Visualize AC voltage in 3D using Python. Create dynamic representations of electrical concepts with provided code for interactive learning and exploration.
Modeling a Slow Baseball Pitch
Explore the physics behind slow baseball pitches using Python programs, analyzing their trajectory and impact on gameplay.
Python Code from Scratch: Convert Hexadecimal to Decimal
Learn to convert hexadecimal numbers to decimal using Python code, with practical examples and step-by-step explanations.
Python Code from Scratch - Convert Decimal to Hexadecimal
Learn to convert decimal numbers to hexadecimal using Python code, with practical examples and step-by-step explanations.
Functions in Python: Lambda, Built-in, and User-Defined - Part 8
Explore Python functions including user-defined, built-in, lambda, and filter. Learn implementation with practical examples in PyCharm.
Tuple, Set, and Dictionary in Python - Basic Level
Explore Tuple, Set, and Dictionary data structures in Python, understanding their differences and practical applications using PyCharm.
Give Rust a Chance for High-Performance Data Processing in Python
Explore high-performance data processing in Python using Rust modules. Create Rust modules with Python bindings and discover why Rust is replacing C in data libraries.
FastUI - Panacea or Pipe Dream? Exploring Python-Based Web Interfaces
Explore Python-based web UI libraries, their trade-offs, and use cases. Analyze if building interfaces in Python is viable and when to use these tools effectively.
Writing Python like it's Rust - More Robust Code with Type Hints
Leverage Python type hints to create robust, maintainable code with fewer tests. Learn to design APIs that prevent misuse and build trustworthy programs.