
Explore the world's first network graph mapping UK corporate ownership data, built to uncover potential corrupt practices and improve transparency in business structures.

Strategies for effective open source project management: transparency, contributor onboarding, and task prioritization to boost productivity and engagement in your repository.

Learn effective SEO techniques for Symfony developers, focusing on legitimate strategies to improve website rankings and create appealing search results without resorting to questionable tactics.

Explore PHP's potential beyond web development, delving into scientific computing, machine learning, and data science applications. Discover recent projects and advancements in PHP for solving complex problems.

Explore SysFlow, a runtime observability framework for cloud-native security. Learn about its telemetry format, behavioral graphs, and tools for collecting and processing data in Kubernetes environments.

Explore Prestissimo, Presto's new C++ query execution engine, offering improved performance, reliability, and efficiency for data analytics and open data lakehouses.

Explore innovative open-source solutions for making data visualizations accessible to visually impaired users, enhancing chart accessibility beyond industry standards.

Learn techniques to simplify testing Spark applications, covering Python UDFs, Pandas UDFs, and functional APIs. Explore practical scenarios and demos for efficient data processing and analysis.

Learn to build a robust streaming analytics stack using Kafka and Druid for real-time data processing, flexible querying, and maintaining data integrity in high-volume environments.

Learn to build and deploy a customer churn prediction model using Streamlit and Docker. Discover how to package machine learning models into interactive applications for effective customer retention strategies.

Learn to build robust streaming data pipelines using Apache Spark, Kafka, and Camel. Explore ETL challenges, data management, and lessons from running these technologies in Docker.

Explore how developers leverage Apache Spark and collaborative workspaces to build machine learning solutions, revolutionizing data applications and digital innovation.

Learn to implement and manage Google Tag Manager for website tracking, including setup, tag creation, testing, and integration with Google Analytics 4 for effective data collection and analysis.

Learn to monitor and evaluate ML models with Evidently AI, an open-source Python library for data scientists. Explore reports, test suites, and dashboards for continuous model quality assessment.

Learn to build accurate sales forecasts using Prophet and Python in just 15 lines of code. Discover how to leverage this powerful tool for various time series predictions, from market trends to weather forecasting.

Advanced Python tutorial on implementing Linear Regression from scratch, covering object-oriented programming, vectorized operations, and efficient coding strategies. Bridges theory and practice for experienced data scientists.

Explore LogSeq, an open-source, local-first notebook for organizing personal knowledge. Learn about its ClojureScript implementation, syncing capabilities, and see a live demo of its features.

Learn to transform raw text into structured lists and CSVs using Python, enhancing data organization and analysis skills for practical applications.

Explore powerful marketing automation using serverless functions, CustomerIO, and Next.js with Joel Hooks. Peek behind the curtain at Egghead.io's strategies for effective digital marketing.

Learn to implement recurring payment buttons and set up subscriptions using Stripe. Gain practical skills for adding subscription functionality to websites, enhancing e-commerce capabilities.

Explore custom data visualization techniques using SVG, Vue, and D3.js with expert Shirley Wu. Learn to create interactive and visually appealing representations of complex datasets.