SQLAlchemy as the Backbone of a Data Science Company
Explore SQLAlchemy's advanced features for data science, including Core API, Expression Language, and database migrations. Learn to scale relational models for handling billions of records efficiently.
Datu bistaratze soluzioen garapena Smartcity proiektuetan
Smartcity proiektuetarako Django-rekin garatutako web orria, energia kontsumoa modu argi eta sinplean bistaratzeko, erabiltzailean oinarritutako diseinuarekin eta hainbat hizkuntzatan.
Brainwaves for Hackers 3.0
Explore brain secrets using Python and EEG devices. Interactive Jupyter experiments demonstrate evoked response potentials and neurofeedback training for hands-on brain wave analysis.
Handling GPS Data with Python
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.
Deep Learning with Python & TensorFlow
Explore deep learning with TensorFlow: compare Python ML libraries, create data flow graphs, and learn deployment strategies for production systems.
Jupyter for Everything Else
Explore unconventional uses of Jupyter beyond scientific exploration, including command-line tutorials, interactive presentations, and web technology experimentation.
Python, Data & Rock'n'Roll
Explore rock music lyrics using data science techniques like web crawling, NoSQL, NLP, and visualization to uncover trends, themes, and correlations among legendary bands.
NetworkX Visualization Powered by Bokeh
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.
Log All the Things!
Discover how to collect, clean, store, and analyze log data from various systems using the ELK stack, enhancing DevOps practices and gaining valuable insights into your infrastructure.
Scientist Meets Web Dev - How Python Became the Language of Data
Explore Python's evolution as a data science powerhouse, blending scientific computing with web development. Learn how this versatile language empowers researchers and analysts to tackle complex data challenges.
How to Create Inspiring Data
Explore the process of creating engaging data visualizations, from concept to execution, with insights on inspiring and captivating audiences through creative visual storytelling techniques.
Realtime Distributed Computing at Scale - Storm and Streamparse
Explore realtime distributed computing using Apache Storm and streamparse in Python. Learn to handle high-volume data processing with low latency and high availability, suitable for large-scale production environments.
Big Data Analytics at the MPCDF - GPU Crystallography with Python
Explore GPU-accelerated Python for big data analytics in atom probe crystallography, focusing on Fourier spectral analysis, scalability across multiple GPUs, and interactive visualization techniques.
Facing the Challenge of Climate Change with Xarray and Dask
Explore climate data analysis using xarray and Dask, leveraging Python's scientific ecosystem to process and visualize complex climate forecasts and projections from the Copernicus Climate Change Service.
How to Use Pandas the Wrong Way
Explore common pitfalls in pandas usage, focusing on performance and robustness. Learn efficient indexing, data type handling, and optimized group operations for better data manipulation.
Neat Analytics with Pandas Indexes
Explore advanced Pandas indexing techniques for efficient data analysis, covering index types, time-series resampling, and multi-indexing to enhance your productivity in Python analytics.
Simple ETL in Python 3.5+ with Bonobo
Learn to create simple, efficient data pipelines using Bonobo, a Python 3.5+ ETL framework. Explore writing processors, running jobs, and engineering testable systems for data transformation.
Full-Text Search in Django with PostgreSQL
Implementación de búsqueda de texto completo en Django utilizando PostgreSQL, explorando ventajas sobre otras soluciones y demostrando funcionalidades con datos reales.
A Gentle Introduction to Data Science
Explore data science fundamentals, from AI's influence to practical machine learning in Python. Covers key concepts, problem-solving applications, and essential Python tools for aspiring data scientists.
A Faster Python? You Have These Choices
Explore options for optimizing Python performance, from C extensions to PyPy. Learn trade-offs between speed and code maintainability, with real-world examples and benchmarks.
How to Apply Deep Learning for 3D Object Recognition
Practical guide to achieving 80% accuracy in 3D object recognition using deep learning, covering data preparation, model optimization, and implementation strategies.