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Introductory exploration of brain image analysis using nipy tools. Learn to process fMRI data, perform registration, ICA analysis, and visualize resting-state networks. Potential coverage of atlas-based segmentation.
Learn to create 3D models for printing using Python APIs in popular software like Blender and Fusion 360. Explore basic concepts, practical tips, and real-world project examples for generating 3D models programmatically.
Explore Python's inner workings through its C API. Learn about reference counting, memory management, and the implementation of objects and modules by creating bindings between C and Python.
Strategies for breaking down monolithic applications into manageable components, addressing dependency challenges, and improving code flexibility and maintainability.
Explore migrating from PostgreSQL to HDF5 for scientific projects with large floating-point datasets. Learn strategies for performance optimization, data migration, and maintaining system integrity during transition.
Interactive network visualization using NetworkX and Bokeh in Jupyter Notebooks. Learn to create, manipulate, and update network structures with Python, enhancing data exploration and analysis of social networks.
Explore how Python and Django can help researchers make their papers freely accessible, promoting Open Access and addressing challenges in academic publishing.
Learn to scale microservices efficiently using Crossbar.io, an open-source application router. Explore distributed scaling techniques and participate in a live demo showcasing WAMP protocol implementation.
Explore IoT server architecture using Python, MySQL, and Kivy for mobile apps. Learn about device registration, messaging, security, and database management in IoT environments.
Learn to create Python microservices using Test-Driven Development. Explore service and contract testing with Docker and Swagger for robust, confident development in a microservices architecture.
Explore rock music lyrics using data science techniques like web crawling, NoSQL, NLP, and visualization to uncover trends, themes, and correlations among legendary bands.
Explore unconventional uses of Jupyter beyond scientific exploration, including command-line tutorials, interactive presentations, and web technology experimentation.
Explore deep learning with TensorFlow: compare Python ML libraries, create data flow graphs, and learn deployment strategies for production systems.
Learn to instrument Python apps with Prometheus for real-time insights. Explore metrics collection, dashboards, and monitoring to improve application performance and system understanding.
Learn to handle GPS data in Python, from reading/writing tracks to visualizing on OpenStreetMap. Explore libraries, add elevation data, and understand algorithms like Douglas-Peucker and Kalman filters for track simplification and smoothing.
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