How to Write Multi-Paradigm Code
Explore efficient multi-paradigm Python coding by combining object-oriented and functional programming. Learn to structure code, handle data and state, and implement multiple solutions for optimal results.
The Joy of Deleting Code
Discover techniques for identifying and removing unnecessary code, improving efficiency and maintainability. Learn about tools and approaches for streamlining Python projects beyond automated detection.
Your Name Is Invalid
Explore challenges in handling personal names in software, including encoding, case sensitivity, and localization. Learn best practices for Python applications to avoid common pitfalls.
A Pythonic Full-Text Search
Implementación eficiente de búsqueda de texto completo en sitios web usando Django y PostgreSQL, evitando motores de búsqueda adicionales y mejorando la arquitectura y el rendimiento.
Yet Another Package for Multi-Tenancy in Django
Explore multi-tenancy implementation in Django, covering fundamental plumbing, challenges, and popular packages for reliable, secure, and elegant solutions.
A Deep Dive and Comparison of Python Drivers for Cassandra and Scylla
Explore Python drivers for Cassandra and Scylla databases, comparing features and performance. Learn about cluster architecture, replication, and efficient query routing techniques.
Social Distancing from Your System’s Dependencies - An API’s Story
Explore dependency isolation techniques in Python testing, their impact on API design, and how to structure tests for clarity and effectiveness using unittest.mock and pytest.
Full Stack Type Safety
Explore full-stack type safety in Python web projects, focusing on enforcing consistency between frontend and backend using REST/Swagger and GraphQL. Includes practical demos and discusses various design approaches.
Python in Prison - How Open Source Can Change a Criminal Justice System
Explore how Python and open-source technology can revolutionize the criminal justice system, addressing societal challenges and promoting positive change through innovative programming initiatives.
An ASGI Server from Scratch
Explore building an HTTP/1 ASGI server using asyncio, from TCP echo server to full implementation. Ideal for those familiar with asyncio and coroutines seeking practical application.
Serverless 2.0 with Cloudstate.io - Stateful Functions with Python
Explore next-generation serverless computing with Cloudstate, addressing challenges in distributed state management and long-lived stateful services for event-driven systems.
IoTPy - Python + Streams + Agents for Streaming Applications
Explore IoTPy for building concurrent, non-terminating streaming applications in Python, leveraging existing libraries for data analysis and distributed systems.
Practical Optimisations for Pandas
Discover techniques for optimizing Pandas code, including bottleneck identification, computational efficiency, and memory management for improved performance in data processing tasks.
Radio Astronomy with Python
Explore radio astronomy using Python, focusing on redshift studies, galaxy distribution analysis, and machine learning techniques for processing large astronomical datasets.
Bringing Your Python Script to More Users
Learn to transform Python scripts into user-friendly applications using CLI, GUI, and web interfaces. Explore techniques to make your code accessible and useful to a wider audience.
Django Clone From Scratch With Flask
Explore engineering Flask to mimic Django, diving into framework internals and development patterns. Learn to create a Django-like app with Flask, discussing benefits and challenges of both frameworks.
A Brief History of Jupyter Notebooks
Explore the evolution of Jupyter Notebooks, from early computational interfaces to modern collaborative tools. Discover key milestones, current ecosystem, and future developments in scientific programming environments.
Speed Up Your Data Processing
Explore parallel and asynchronous programming techniques to optimize data processing pipelines, enhancing efficiency in data science workflows and overcoming common bottlenecks.
Train, Serve, Deploy - Story of a NLP Model ft. PyTorch, Docker, Uwsgi and Nginx
Learn to build, train, and deploy NLP translation models using PyTorch, Flask, Docker, uWSGI, and Nginx. Covers data preprocessing, model training, web app creation, containerization, and production serving techniques.
Attractive GUIs with PySimpleGUI
Learn to create attractive and functional GUIs with PySimpleGUI, bridging the gap between complex frameworks and limited design tools. Explore its design philosophy and practical applications.
Docker and Python - Making Them Play Nicely and Securely for Data Science and ML
Learn Docker best practices for data-intensive Python applications, covering image optimization, security, automation, and efficient deployment workflows in Data Science and Machine Learning contexts.