Introduction to Nonparametric Bayesian Models
Explore flexible machine learning with Nonparametric Bayesian Models. Learn about Dirichlet Process, compare parametric vs nonparametric approaches, and discover relevant Python libraries for advanced data analysis.
Inside Airbnb - Visualizing Data That Includes Geographic Locations
Aprende a visualizar datos geográficos utilizando herramientas como Bokeh, Holoviews y Datashader. Explora técnicas para representar información de Airbnb en mapas interactivos y dashboards dinámicos.
Feeding Data to AWS Redshift with Airflow
Explore Airflow for efficient data pipelines and learn to integrate it with AWS Redshift for effective ETL processes, schema management, and data transformation techniques.
PyPy Meets Python 3 and Numpy
Explore PyPy's advancements in supporting Python 3.x and scientific computing with Numpy, offering improved performance and expanded application domains for Python developers.
Plone - Where Is It Today and Where Is It Going
Explore Plone CMS's current state and future direction, focusing on its robust security features, customization capabilities, and upcoming enhancements in version 5.1 and beyond.
Lessons Learned in X Years of Parallel Programming
Insights and practical examples on advanced parallel programming in Python, covering performance, debugging, and useful libraries for both enterprise and scientific applications.
I Don't Like Mondays - What I Learned About Data Engineering After 2 Years on Call
Insights and best practices for data engineering on-call duties, including minimizing emergencies, effective problem-solving, and implementing robust monitoring systems for improved reliability.
Pybind11 - Seamless Operability Between C++11 and Python
Explore pybind11, a lightweight C++11 library for creating Python extension modules with minimal boilerplate. Learn to write bindings, handle complex data structures, and understand internal mechanisms.
Deep Learning Your Broadband Network at Home
Automate internet speed tests, log data, and analyze time series using Python. Learn data mining, visualization, and anomaly detection techniques like ARIMA and LSTM for broadband network performance.
Large-Scale Data Extraction, Structuring and Matching Using Python and Spark
Explore large-scale data extraction, structuring, and matching techniques using Python and Spark. Learn to handle compressed archives, extract metadata, and perform matches in big data environments.
Overcoming Cognitive Bias
Explore cognitive biases in tech, their impact on the Python community, and strategies for overcoming them to foster inclusivity and innovation.
Python and Angular - A Perfect Match?
Explore integrating Python backend with Angular-based Ionic framework for cross-platform mobile app development, enabling modern UX design while leveraging Python's capabilities.
From an Old-School Data Managing Company to Data Analytics with Python
Exploring the transition to Python-based data analytics for project communication management, focusing on clustering, event detection, and network analysis to enhance project and risk management.
Scientific Computing Using Cython - Best of Both Worlds!
Explore Cython for scientific computing, combining Python-like syntax with C speed. Learn to build native extensions, use static typing, and integrate with C code for optimal performance.
Pythonic Refactoring - Protecting Your Users From Change
Learn techniques for refactoring Python libraries while maintaining backward compatibility. Discover how to identify and protect public interfaces, use language features effectively, and manage breaking changes.
The Encounter - Python’s Adventures in Africa
Explore Python's impact in African countries, discussing recent events, open-source software's significance, and the mutual benefits of this cultural exchange for both Python and Africa.
Pythonist View on Microservices & Containerization
Explore microservices and containerization in Python, covering implementation, advantages, Docker usage, CI/CD approaches, and trade-offs for loosely coupled system design and deployment.
Modelling Pollution from Traffic, Using Smartphone Data and Python
Explore Python-based modeling of traffic pollution using smartphone data, combining traffic assignment, econometric models, and congestion analysis for urban environmental monitoring and mitigation.
Pandas - Not Just for Data Scientists
Discover how Pandas can enhance Python performance and overcome limitations, with practical examples for experienced developers beyond data science applications.
Introduction to TensorFlow
Aprende los conceptos básicos de deep learning y TensorFlow, desde la instalación hasta la creación de redes neuronales, a través de ejemplos prácticos y visualizaciones amigables.
Finding Bugs for Free - The Magic of Static Analysis
Explore static analysis techniques for Python to improve code quality and find bugs without annotations. Learn about LGTM's powerful tools and their applications.