Take your SQL skills to the next level with this beginner’s guide to subqueries. Learn how to write powerful queries using inline, scalar, and correlated subqueries—complete with practical code examples and clear explanations.
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Take your SQL skills to the next level with this beginner’s guide to subqueries. Learn how to write powerful queries using inline, scalar, and correlated subqueries—complete with practical code examples and clear explanations.
Explore the internal architecture of Visual Studio Code (VS Code). Learn how Electron, Node.js, LSP, and the Monaco Editor power the most popular code editor for developers.
Learn how to master SQL JOINS with clear explanations and real-world examples. This third part of our SQL for Beginners series demystifies INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN using easy-to-understand Venn diagrams and sample queries. Perfect for developers looking to connect data across tables.
DeepSeek offers powerful AI models through its API, enabling developers to integrate advanced AI capabilities into their applications. When combined with AWS Lambda’s serverless architecture, you can create scalable, cost-effective AI-powered solutions. This tutorial will guide you through the process of invoking DeepSeek APIs from AWS Lambda functions.
Take your SQL skills to the next level with this follow-up to our beginner’s guide. Learn intermediate SQL commands like subqueries, JOINs, CASE, and more with practical examples for real-world applications.
Discover how Uber’s QueryGPT is revolutionizing SQL query generation with AI! This in-depth article explores the internal workings of QueryGPT, Uber’s cutting-edge tool that transforms natural language into SQL queries. Learn how Uber saves 140,000 hours annually, reduces query time by 70%, and democratizes data access across Uber. Perfect for tech enthusiasts, data professionals, and AI innovators!
Learn SQL from scratch with this beginner-friendly guide. Discover key SQL commands, including SELECT, INSERT, UPDATE, and JOIN, with real-world examples to help front-end developers and beginners master database queries efficiently.
Master Git like a pro with this comprehensive guide covering all essential Git commands and concepts. From basic operations like initializing repositories to advanced techniques like rebasing, stashing, and hooks, this complete primer is packed with examples and explanations to boost your productivity. Perfect for developers of all levels, learn how to collaborate effectively, manage version control seamlessly, and streamline your workflows with Git. Unlock the full potential of Git and take your coding skills to the next level!
Unlock the power of Amazon DynamoDB with this comprehensive guide designed for developers. Dive deep into the core concepts, including tables, primary keys, secondary indexes, and data types, all while exploring practical examples using Python. Whether you’re building scalable applications, handling real-time data, or optimizing your database operations, this primer provides the foundational knowledge and advanced features to make the most of DynamoDB’s performance and scalability. Read on for expert insights and code examples to integrate DynamoDB into your projects effectively.
Master symmetric encryption in just 5 minutes using AWS KMS! This guide walks you through creating KMS keys, encrypting and decrypting data, and implementing best practices like key rotation, MFA, and CloudTrail monitoring. Secure your AWS environment today!
Learn how to handle JSON data in Python with this beginner-friendly guide! Understand how to parse JSON strings, read from files, and convert Python objects to JSON. Includes practical examples of using json.loads and json.dump for efficient data handling. Perfect for developers working with APIs or modern applications!
Discover Python’s core sequence and collection types in this beginner-friendly guide! Learn the differences between Lists, Tuples, Sets, Dictionaries and Arrays with practical examples. Understand when and how to use these versatile structures to write clean and efficient Python code. Perfect for beginners and intermediate programmers!
Learn how to handle errors effectively in Python with this 5-minute guide! From try-except blocks to custom exceptions, explore best practices, common built-in exceptions, and real-world examples to write robust and user-friendly code. Perfect for beginner and intermediate developers looking to enhance their Python skills.
Generative AI using Amazon Bedrock for Developers helps you discover how to build and scale Generative AI applications. Explore how developers can leverage Amazon Bedrock to build powerful generative AI applications. Learn about Foundation Models, prompt engineering, and deploying scalable AI solutions on AWS.
Discover the power of Generative AI on AWS in 2024 with this comprehensive guide. Learn how to leverage AWS Bedrock, Foundation Models, and SageMaker to build, deploy, and scale cutting-edge AI solutions. Stay ahead in AI innovation by exploring key features, practical use cases, and integration strategies tailored for modern developers and businesses.
Discover the key differences between Python and C# in this comprehensive technical guide for C# developers. Learn about Python’s execution model, memory management, concurrency, and dynamic typing to effectively transition and enhance your programming skills.
Are you looking to supercharge your Python development experience in 2024? In this blog post, we’ll explore the top 10 essential VS Code extensions tailored specifically for Python developers. Whether you’re a seasoned developer or just starting out, these extensions are designed to make your coding journey smoother and more productive.
Visual Studio for Mac is set to retire, and developers need a new development environment to continue their work effectively. In this article, I will discuss the migration paths from Visual Studio for Mac to Visual Studio Code (VS Code), or other IDEs and platforms based on the type of projects you’ve developed using Visual Studio for Mac.
In the ever-evolving world of technology, the year 2023 witnessed remarkable advancements in developer tools and frameworks, shaping the way we build, deploy, and maintain software. This roundup explores features and releases that have defined the developer landscape over the past year.
VSCodium is a fully open-source alternative to the not-so-FOSS VS Code. Learn why open-source enthusiasts who are conscious about privacy and transparency should switch to VSCodium.
This article will take you through the step-by-step process to build a REST API using API Gateway. The API invokes a Lambda function that in turn invokes OpenAI APIs and returns a response. Your applications can invoke this API to embed Artificial Intelligence capabilities similar to ChatGPT.
Learn how to fix “‘StreamingBody’ object is not subscriptable” error in boto3 framework when invoking functions in AWS Lambda.
OpenAI provides APIs to programmatically access the functionalities provided by ChatGPT, which allows you to integrate AI capabilities into your applications and services. This article provides a step-by-step guide to setting up the environment and invoke OpenAI APIs from your AWS Lambda functions.
ChatGPT is a conversational bot launched by OpenAI in November 2022 as a prototype for beta testing and feedback. Among the many things it can do, it can teach you programming languages. This article explores how the conversational nature of ChatGPT can be leveraged to learn Python.
The First Edition of this book was released in May 2020, about two and a half years ago. Since its…
Find yourself printing a lot to the Terminal during development and surprised to find your output missing? Read on…
AWS Lambda makes it easy to build highly available serverless applications quickly. However, setting up resources in multiple regions makes…
Re:Link for Mac is a Browser, except that it doesn’t open any website; instead, it redirects the request to other installed browsers in the system based on customizable rules.
Re:Link is a Windows application that registers itself as a browser in your machine, intercepts your URL requests and link clicks, and open them in different browsers (Chrome, Firefox, Edge, etc.) based on a set of predefined rules.
MySQL is an RDBMS platform that stores data in a tabular format in a normalized manner, whereas, MongoDB is a NoSQL database that stores information in the form of documents that are grouped under collections. The representation of data is completely different and hence migration of MySQL table data to MongoDB collections might sound like a mammoth task. Fortunately, Python makes it a breeze with its strong connectivity and data handling capabilities.