CUE: A Glimpse into the Future of Configuration Engineering
Explore CUE's potential to unify and simplify configuration across tech stacks, addressing the growing complexity in modern systems engineering.
Get Started With Laravel
Comprehensive guide to Laravel 8: learn installation, routing, controllers, views, databases, and more. Build web applications from scratch with this popular PHP framework.
Create a PHP REST API - Write a RESTful API from Scratch Using Plain, Object-Oriented PHP and MySQL
Develop a complete RESTful API using PHP and MySQL, covering essential concepts like routing, database operations, error handling, and data validation for efficient API creation.
Save HTML Form Data to a MySQL Database Using PHP
Learn to create HTML forms and save data to MySQL using PHP, covering form controls, data validation, SQL injection prevention, and database operations.
Clojure Spec: Expressing Data Constraints without Types
Explore Clojure's spec library for declarative data and function specifications, enhancing validation, documentation, and testing in a dynamic, REPL-driven development environment.
Create Streamlit Data Validation App With Deepchecks Test Suites and Pandas-Profiling Reports
Build a Streamlit app integrating Deepchecks test suites and pandas-profiling reports for data validation and analysis. Learn to create interactive data quality checks and visualizations.
PHP Full Course Tutorial
Comprehensive PHP tutorial covering core language, database setup, data validation, and system creation for manipulating and displaying database data. Includes practical examples and code demonstrations.
Build a Node.js API Authentication with JWT Tutorial
Learn to build a secure Node.js API with JWT authentication, covering Express setup, MongoDB integration, user registration, password hashing, login functionality, and creating protected routes.
Building a Time Machine with ES6 Proxies - DevWorld 2024
Explore ES6 Proxies to create a time machine, enabling manipulation of JavaScript objects' behavior and time-related operations in innovative ways.
Instructor Makes GPT Function Calling Easy - Simplifying Complex Data Extraction
Simplify GPT function calling with Instructor library: automate definition generation, parse data easily, and handle complex extractions with automatic validations and retries.
Django Form Capabilities - Django Tutorial
Explore Django's form capabilities and data validation techniques in this comprehensive tutorial, enhancing your web development skills and improving user input handling.
Productionizing ML with ML Ops and Cloud AI
Explore ML Ops and Cloud AI for efficient machine learning productionization, covering key challenges, continuous deployment, performance optimization, and lifecycle management.
Capturing and Validating Real World Movements of Millions of People
Discover how Foursquare processes billions of GPS records to accurately track and validate real-world movement patterns, using advanced algorithms for stop detection and venue attachment.
Hopsworks - The Python-Centric Enterprise Feature Store
Explore Hopsworks feature store for Python-centric ML operations, covering feature engineering, pipelines, and real-time serving with an end-to-end use case demonstration.
Develop Test Suites for Machine Learning Models and Data with Deepchecks
Hands-on tutorial for developing test suites with Deepchecks, covering data validation, distribution analysis, custom tests, and model validation for machine learning projects.
Democratizing Data Quality Through a Centralized Platform at Zillow
Explore Zillow's centralized platform for data quality, enabling stakeholders to define expectations, perform validations, and monitor data health across complex organizations.
End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik
Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.
Always Know What to Expect From Your Data With Great Expectations
Learn to validate, test, and document data quality using great_expectations. Covers installation, initialization, context, demos with various datasets, and practical applications for data teams.
Testing ML Models in Production - Detecting Data and Concept Drift
Explore robust ML model testing in production using MLflow, SciPy, and statsmodels. Learn key statistical tests, metrics for drift detection, and gain practical insights for maintaining model effectiveness.
Accelerating Network Device Automation Using a Model-Driven SDK
Explore model-driven SDKs for efficient network device automation. Learn about data models, protocols, and practical Python examples to streamline your networking workflows.
Enforcing Data Quality in Data Processing and ML Pipelines with Flyte and Pandera
Learn to enforce data quality in processing and ML pipelines using Flyte and Pandera, enhancing reliability and efficiency in data-driven projects.