How to Be Pythonic - Design a Query Language in Python
Explore the design of WOQLpy, a Python query language for TerminusDB. Learn about challenges, methods, and best practices in creating Pythonic packages, with interactive discussions on effective Python design.
Sharing Reproducible Python Environments with Binder
Learn to share reproducible Python environments using Binder, integrating Jupyter Notebooks and Docker for easy packaging and cloud-based sharing of data science projects without complex setup.
Developing a Match-Making Algorithm Between Customers and Go-Jek Products
Explore how GoJek developed a personalized recommendation system using PySpark to match customers with relevant products and vouchers, improving conversion rates.
Making Pandas Fly
Optimize Pandas for larger datasets: compression techniques, faster operations, and alternatives like Dask and Vaex. Learn to process more data efficiently and boost your data analysis capabilities.
Writing and Scaling Collaborative Data Pipelines with Kedro
Discover how Kedro framework facilitates collaboration between data scientists and engineers, enabling scalable and sustainable data pipelines while balancing flexibility and stability.
Probabilistic Forecasting with DeepAR and AWS SageMaker
Explore probabilistic forecasting with DeepAR, combining deep learning and time series analysis for accurate predictions with uncertainty estimates across multiple related datasets.
Why Transformers Work
Explore the inner workings of transformers in machine learning, their advantages over RNNs, and applications in NLP and dialogue handling, with live demos and clear explanations.
Interactive Mapmaking with Python
Explore interactive mapmaking using Python and GeoDataframes. Learn to create visually appealing maps with libraries like Folium, Kepler.gl, and Plotly, and discover Geopatra for simplified geodata visualization.
Digital Transformation in the Fight Against Coronavirus
Explore how Goiás state in Brazil leveraged digital transformation and machine learning to enhance public services and information dissemination during the COVID-19 pandemic.
Accessible Python Education for Schoolgirls Using Avocados, Zombies, and Korean
Innovative Python education for young girls using engaging themes, resulting in increased interest and confidence in coding and scientific computing.
Data Ingestion and Big Data
Learn web scraping, crawling, and API usage for data retrieval. Explore technical and ethical considerations in simulating user navigation and leveraging data APIs for analysis and business opportunities.
How Scientific Computing is Advancing the World of Football
Explore how Python's scientific computing and data science applications are revolutionizing football, from tactical analysis to player insights, with potential for wider accessibility and impact.
Wildfire Modeling in Yosemite National Park
Explore wildfire simulation in Yosemite using GRASS GIS and Python libraries. Learn to obtain geospatial data, model fire behavior, and create interactive maps with Google Earth Engine and Jupyter Notebook.
Powerful Tests and Reproducible Benchmarks with `pytest-cases`
Explore advanced pytest techniques using pytest-cases for complex parametrization, elegant test organization, and reproducible benchmarks in scientific research and data science projects.
Leveraging Linked Data Using Python and SPARQL
Explore Python and SPARQL to extract structured knowledge from Wikipedia, creating datasets and corpora for data science projects without traditional web scraping techniques.
Innovation in the Newsroom
Explore BBC News Labs' innovative approach to enriching digital output using Python and AWS, focusing on extracting detailed information from TV and radio programme running orders.
Virtual Tourism in COVID Times
Explore building an interactive dashboard using Python to relive past travels during lockdown. Learn data processing, visualization, and integration of external sources for a personalized virtual tourism experience.
From Telemetry Data to CSVs with Python, Spark and Azure Databricks
Transforming industrial telemetry data into CSV format using Python, Spark, and Azure Databricks for analytics and AI model retraining in the context of Industry 4.0.
Heartbeats for Hackers
Explore electrocardiography, from heart basics to building an ECG with Arduino. Learn data analysis and machine learning techniques for heart data interpretation.
Connecting Communities - The Helmholtz Analytics Framework and the Making of Heat
Explore challenges and insights from uniting diverse academic fields for the Helmholtz Analytics Framework, focusing on HPC, Scientific Big Data, co-design, and Python integration.
Our Universe through Sight, Sound & Touch
Explore the cosmos through innovative sensory experiences: listen to stellar explosions, walk through the Milky Way in VR, and feel vibrations of stellar nurseries. Transform 2D data into immersive, multi-dimensional encounters with our universe.