Reproducible and Deployable Data Science with Open-Source Python
Aprenda a criar código de ciência de dados escalável, reproduzível e confiável usando Kedro, Apache Airflow e Great Expectations. Descubra como combinar iteração rápida com manutenibilidade e qualidade de dados consistente.
Choosing the Right Database for Your Next Project - Looking at Options Beyond PostgreSQL and MySQL
Explore diverse database options beyond PostgreSQL and MySQL, covering relational, data warehouse, analytics, and machine learning solutions to find the best fit for your Python project.
How Much Time Does It Take to Write Tests? A Case Study
Explore the time investment in writing automated tests through a real-world case study, examining the implications and trade-offs in software development practices.
Event-Driven Microservices with Python and Apache Kafka
Explore event-driven microservices using Python and Apache Kafka. Learn to build loosely coupled, extensible distributed systems with an example application and practical considerations.
CPython Bugs and Risky Features
Explore security risks in CPython, including directory vulnerabilities, code injection possibilities, and socket issues. Learn about potential threats and mitigation strategies for Python developers and administrators.
Dodging AI Dystopia - You Can't Save the World Alone
Explore strategies to prevent AI dystopia in EU systems. Learn about legal and ethical frameworks to guide responsible AI development and implementation in critical sectors.
How to Craft Awesome Machine Learning Demos with Python
Learn to create interactive Machine Learning demos using Python, Gradio, and Streamlit. Discover how to craft engaging interfaces and share your models with both ML experts and novices.
Code Coverage Through Unit Tests Running in Sub-Processes - Threads - Locally and Automated on GitHub
Learn to measure and improve code coverage for tests running in sub-processes/threads, locally and on GitHub. Explore techniques to enhance reliability and automate the process using CI tools.
My Journey Using Docker as a Development Tool
Explore Docker for Python development, from basic images to advanced techniques. Learn to dockerize a FastAPI service, manage dependencies, run tests, and optimize for production environments.
An Introduction to Apache TVM
Explore Apache TVM's Python API for deep learning model compilation. Learn installation, features, and practical applications for CPUs and microcontrollers through hands-on demos and examples.
What Happens When You Import a Module
Explore the intricate process of Python module imports, including file discovery, loading mechanisms, and customization options. Gain insights into finders, loaders, and the inner workings of this fundamental feature.
Taking Charge of Your Race Conditions
Explore techniques for testing and managing race conditions in concurrent programming, focusing on Python tools and strategies to identify, reproduce, and resolve these challenging scenarios.
Building a Just-in-Time Python FaaS Platform with Unikraft
Explore Unikraft's unikernel technology for building efficient, specialized Python FaaS platforms with fast boot times, small footprints, and enhanced security, integrated with major orchestration frameworks.
Predicting Urban Heat Islands in Calgary
Learn to predict urban heat islands using satellite imagery and geospatial Python libraries. Explore spatial regression methods, data processing, and visualization techniques for sustainable urban planning.
Open Science - Building Models Like We Build Open-Source Software
Explore the concept of developing pre-trained models collaboratively, applying open-source software principles to machine learning for wider participation and continuous improvement.
How I Wrote a Python Client for HTTP - 3 Proxies
Explore the development of a Python client for HTTP/3 proxies using MASQUE protocol, covering proxy design, HTTP versions, and asyncio implementation challenges.
A Network Embeddings Based Recommendation Model with Multi-Factor Consideration
Explore a novel recommendation model using network embeddings and multi-factor analysis. Learn about knowledge transfer across implicit and explicit factors for improved accuracy in real-world applications.
Common Python Mistakes with Kubernetes - How They Can Cause Vulnerabilities and How to Solve Them
Explore common Python vulnerabilities in Kubernetes deployments, their potential impacts, and effective mitigation strategies using tools like Falco, TUF, Open Policy Agent, and Bandit.
Correlating Messy Data with "Correlate"
Discover a novel scoring algorithm and clever heuristics for matching items in messy real-world data sets with inexact string matches, solving data correlation challenges efficiently.
Managing Complex Data Science Experiment Configurations with Hydra
Learn to manage complex data science experiments efficiently using Hydra, an open-source framework that simplifies configuration handling, enhances traceability, and improves reproducibility with minimal boilerplate code.
Simple Data Validation and Setting Management with Pydantic
Learn efficient data validation and setting management using Pydantic. Explore models, validators, and converters with real-life examples to enhance code readability and prevent processing errors.