Image Processing Using Scipy in Python
Learn essential image processing techniques using SciPy in Python, including importing, pixel manipulation, filtering, and edge detection with Sobel filters.
Live Breaking into Encrypted 3D Printer Firmware
Hands-on workshop on breaking encrypted 3D printer firmware, covering techniques like frequency analysis, known-plaintext attacks, and ARM architecture exploitation using tools such as Matplotlib and SciPy.
Linear Algebra in NumPy and SciPy - ME3255
Learn essential linear algebra operations using NumPy and SciPy libraries in Python for efficient numerical computations and data analysis.
Advanced NumPy - SciPy Japan 2019 Tutorial - Juan Nunuz-Iglesias
Hands-on tutorial exploring advanced NumPy concepts: broadcasting, strides, and indexing. Ideal for Python users familiar with array computing, taught by scikit-image core developer.
Pyodide - A Python Distribution for the Browser
Explore Pyodide: Run Python in browsers and Node.js using WebAssembly. Learn about porting packages, JavaScript-Python integration, and building serverless web apps with Python.
Three Musketeers - Sherlock Holmes, Mathematics and Python
Explore how mathematics and Python can be used to solve crime mysteries, inspired by Sherlock Holmes. Learn to apply statistical concepts and Python libraries to tackle forensic puzzles and hypothetical cases.
Brain Waves for Hackers
Explore brain wave analysis using Python and the Neurosky Mindwave headset. Learn EEG basics, neurofeedback applications, and how to start experimenting with consumer-grade EEG devices for mental training and potential therapeutic uses.
Statistics 101 for System Administrators
Python for sysadmins: Analyze system data using statistics, scipy, and matplotlib. Learn to parse logs, calculate distributions, find correlations, and create informative plots to quickly identify performance issues.
Scikit-learn to "Learn Them All"
Overview of Scikit-learn for machine learning in Python, covering supervised and unsupervised techniques, with code examples and insights on implementation. Includes comparison to other ML libraries and scaling to big data.
Activity Map from Space - Supporting Mine Clearance with Python
Satellite image processing with Python to detect ground activities and create maps for efficient UXO removal in minefields, using numpy, scipy, gdal, and IPython Notebook.
Multibody Simulation Using Sympy, Scipy and Vpython
Explore multibody simulation using Python packages sympy, scipy, and vpython for engineering and educational purposes. Learn to formulate mechanical problems and integrate equations.
From Linear Algebra to Machine Learning
Explore the mathematical foundations of machine learning, from linear algebra to optimization, with practical Python implementations using NumPy, SciPy, and TensorFlow.
The Painless Route in Python to Fast and Scalable Machine Learning
Learn to optimize Python for high-performance machine learning, from Intel-enhanced packages to scalable data processing and analytics pipelines that rival C++/MPI performance on large datasets and clusters.
Solving Data Problems in Management Accounting
Streamline management accounting with Python: automate data screening, identify outliers, and improve report accuracy using statistical tools and machine learning for enhanced productivity.
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.
ME3255 - Python Code Examples from Discussion
Learn Python coding techniques for mechanical engineering applications through practical examples and discussions.
Essential Python Libraries for Data Science and Development - 2024
Master essential Python data science libraries including NumPy, Pandas, Matplotlib, Scikit-learn, and more through hands-on examples and practical demonstrations, culminating in building a Tic Tac Toe game.