How I Helped Fly a Helicopter on Mars
Discover how contributing to open-source Python led to unexpected involvement in Mars exploration. Learn about overcoming challenges in making your first cpython contribution and its far-reaching impact.
Speeding Up the Deep Learning Development Life Cycle for Cancer Diagnostics
Optimizing deep learning development for cancer diagnostics: strategies to accelerate iteration, from task prioritization to GPU parallelization, enhancing model robustness across diverse laboratory settings.
Python Security Best Practices
Discover essential Python security practices, covering input validation, XML parsing, assert statements, temporary files, and data serialization. Learn to identify vulnerabilities and implement robust defenses.
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.
Making AI Happen at Your Company
Practical insights on implementing AI in established companies, covering strategy, technology adoption, cultural shifts, and overcoming legacy system challenges.
Raise Better Errors with Exception Groups
Explore Python 3.11's Exception Groups for robust error handling. Learn to overcome current limitations and write cleaner code using new features like except* keyword.
Python & Visual Studio Code - Revolutionizing the Way You Do Data Science
Discover how Visual Studio Code, GitHub, Codespaces, and Azure ML enhance Python data science productivity. Learn about VS Code Notebooks, Data Wrangler, collaboration features, and deployment options.
Dance with Shadows - Stubs, Patch and Mock
Aprenda a usar objetos falsos en pruebas de software: stubs, patch y mock. Explore técnicas avanzadas, evite errores comunes y descubra bibliotecas especializadas para desarrollo web.
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.
Music and Code
Explore parallels between learning music and coding, discussing skill acquisition, cultural development, and expertise in both fields. Gain insights into the intersections of art and science in these disciplines.
How to Embed a Python Interpreter in an iOS App
Learn to embed Python 3.10 in native iOS apps, allowing users to script app behavior. Discover how to integrate Python with Swift, add third-party libraries, and modify app functionality at runtime.
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.
Data Warehouses Meet Data Lakes
Explore modern data architecture using PySpark, Hudi, Delta.io, and Iceberg to address datalake challenges, supporting real-time processing and enterprise-wide digital transformation.
The Design of Everyday APIs
Explore the art of API design, focusing on key elements like documentation, simplicity, and consistency. Learn to create user-friendly interfaces and optimize the connection between users and libraries.
Protocols - Static Duck Typing for Decoupled Code
Explore static duck typing with Protocols in Python for improved code decoupling and correctness verification. Learn use cases and implementation techniques for more idiomatic and efficient programming.
Making Python Better One Error Message at a Time
Explore Python 3.10's improved error messages and upcoming 3.11 enhancements. Learn about implementation challenges, user benefits, and how to contribute to future improvements.
When to Refactor Your Code into Generators and How
Learn to refactor loop constructs into generator functions, combining them with custom functions or itertools for more maintainable and Pythonic code. Practical examples using Fibonacci sequences demonstrate this powerful technique.
Using Python to Predict Asset Price Reversals
Learn to predict potential trend reversals in stocks and cryptocurrencies using Python, Pandas, and Plotly. Discover how to identify Fibonacci retracement levels for low-risk trade entries.
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.