Web Development Notes

A compact, side-by-side reference that maps common data tasks across  Excel ,  SQL , and  Python (Pandas) . Copy/paste the snippets and adapt table/column names to your data. A lot of us think in  Excel , work with data stored in  SQL  databases, and script repeatable workflows in  Python (Pandas) . This cheat sheet lines those worlds up so you can translate muscle memory across tools: if you know how to do it in one, you’ll see the equivalent in the others. It focuses on everyday tasks—loading data, filtering, selecting, sorting, aggregating, joining, creating new columns, handling missing values, exporting, and plotting—using short, copy-pasteable patterns. What's included Loading data, selecting columns, filtering, sorting Grouping/aggregations, joins, computed columns Missing data handling, exporting, and quick charts Who this is for Analysts, engineers, and anyone who bounces between CSVs, databases, and notebooks. If you know one of these tools, ...

Introduction The  15th Annual Stack Overflow Developer Survey  is now out. With over  49,000 responses  from  177 countries , the 2025 findings offer a rich view into how developers work—and how they feel—amid rising AI adoption ( survey.stackoverflow.co ,  survey.stackoverflow.co ). Dev & AI Trends at a Glance Widespread AI Adoption Coupled with Waning Trust A whopping  84%  of developers now use—or plan to use—AI tools in their workflows, up from  76%  last year ( survey.stackoverflow.co ). Yet trust in AI is falling dramatically:  46%  say they do  not trust  AI output, compared to just  31%  in 2024 ( itpro.com ). Positive sentiment toward AI tools dropped from over 70% to roughly  60%  this year ( survey.stackoverflow.co ). The top frustration? Developers cite “ AI solutions that are almost right, but not quite ” as a pain point—leading to increased time spent debugging ( survey.stackoverf...

  Mastering Logging in Caddy Caddy is a modern, lightweight, and secure web server that’s rapidly gaining popularity thanks to its simplicity, automatic HTTPS, and powerful configuration options. One of the most important aspects of managing a Caddy-powered application is  logging . Proper logging ensures you have visibility into your system, can debug issues efficiently, and monitor performance in real-time. In this article, we’ll break down how logging works in Caddy, why it matters, and how you can configure it for your own projects. What is Logging in Caddy? Logging in Caddy refers to the process of capturing details about requests, errors, and internal server behavior. With logs, you can: Track incoming requests and responses Debug configuration or runtime issues Monitor server performance and health Meet compliance and audit requirements Caddy uses a structured logging system, making logs easier to parse and integrate with external monitoring tools like  Better Stac...

Best Practices in API Design (A Practical Guide) APIs are the connective tissue of modern software. A  useful  API is predictable, consistent, and safe to evolve. Below is a concise, hands-on guide—mirroring the structure in the image—covering eight fundamentals with patterns, anti-patterns, and snippets you can drop into your docs. 1) Use Clear Naming Principles Nouns, not verbs  for resources:  /products ,  /orders/123 ,  /users/42 . Plural collections ; singular items:  /products  (list/create),  /products/{id}  (read/update/delete). Use subresources for relationships/actions : Relationship:  /orders/123/items Domain actions (state changes) as subpaths:  /orders/123/cancel ,  /users/42/verify Consistent casing  (kebab-case or snake_case) and predictable errors. Do POST /api/v1/products GET /api/v1/products?category=shoes PATCH /api/v1/products/123 DELETE /api/v1/products/123 Don’t /createNewProduct /getProduc...