Designing Functional Data Pipelines for Reproducibility and Maintainability
Explore functional programming principles to build scalable, reproducible, and maintainable data pipelines in Python. Learn key concepts, design patterns, and practical applications for data-intensive projects.
The Optimal Wedding - With Pyomo
Explore mathematical optimization using Pyomo to solve complex seating arrangements, with applications in various fields. Learn to formulate, input data, and solve problems using open-source tools.
Adventures in Real-time Python NoSQL-style
Explore RedisGears: a powerful Python-based module for server-side processing in Redis. Learn its architecture, performance benefits, and hands-on implementation through code examples and benchmarks.
Building Application Using Flutter and Django
Learn to create a web and mobile app for educational institutes using Django and Flutter, featuring a smart attendance system with barcode scanning and report generation.
Creating the Next Generation of Billionaires - Part 3
Explore a case study on introducing Python programming to parents of school-age children, discussing teaching methods, challenges, and insights for effective adult education in coding.
Generators, Coroutines, and Nanoservices
Explore Python generators, coroutines, and nanoservices. Learn advanced techniques like 'send' method and 'yield from' syntax. Discover practical applications and think of coroutines as in-process nanoservices for efficient programming.
Moving Fast with FastAPI
Explore FastAPI's features and rapid development capabilities through hands-on application building, leveraging existing framework knowledge for efficient web development.
From Research Project to PyPI Release
Learn to transform a research project into a publicly released Python package, covering testing, CI, documentation, and citation on Zenodo. Ideal for researchers seeking to increase impact and visibility of their work.
Dependency Injection - Stealing Cool Stuff from the Weird Kids
Explore dependency injection in Python: its concept, benefits, and implementation examples to enhance your engineering skills and code design.
Finding Magic in Python
Discover Python's magic through a personal project, exploring advanced concepts in a fun, engaging way. Suitable for beginners to professionals, with clear explanations and practical examples.
Python RPC and PubSub over Websockets
Explore real-time RPC and PubSub over Websockets for distributed software, covering implementation challenges, use cases, and open-source solutions in Python.
Automated Machine Learning With Keras
Explore automated machine learning with Keras Tuner and AutoKeras, enabling efficient development of high-performance deep learning models while requiring less expertise and effort.
Driving 3D Printers with Python
Explore challenges and solutions in developing OctoPrint, an open-source web interface for 3D printers, focusing on end-user software maintenance and Python implementation insights.
Pattern Matching in Python
Explore Python 3.10's Structural Pattern Matching feature with its contributor. Learn motivations, problem-solving applications, and best practices for this powerful data processing tool.
Sound Event Detection with Machine Learning
Aprenda a implementar detección de eventos sonoros con aprendizaje automático, desde la recopilación de datos hasta el entrenamiento de redes neuronales y la evaluación del sistema, utilizando Python y bibliotecas populares.
Darts - Unifying Time Series Forecasting Models from ARIMA to Deep Learning
Explore time series forecasting with Darts, a Python library unifying traditional and deep learning models. Learn best practices for preprocessing, backtesting, and achieving quick results in forecasting problems.
Python Monorepos - What, Why and How
Explore the advantages of monorepos for Python codebases, including scalable management, collaboration, and effective tooling. Learn to evaluate codebase architecture choices for optimal development workflows.
The Libre-SOC Project
Explore the Libre-SOC Project: an open-source initiative using Python to create a programmable, spy-free System-on-a-Chip for smartphones and computers, emphasizing transparency and user control.
Production ML Monitoring - Outliers, Drift, Explainers & Statistical Performance
Practical deep dive into advanced ML monitoring techniques, covering outliers, drift, explainers, and statistical performance for robust production deployment and scalability.
High Performance Data Processing with Python, Kafka and Elasticsearch
Explore high-performance data processing using Python, Kafka, and Elasticsearch. Learn to implement a Producer-Consumer model for real-time data updates in various applications.
Formalizing a Language
Explore formal grammar, Python's parsing engine changes in 3.9, and their impact on language evolution. Gain insights into programming language creation and future Python developments.