Kameshwara Pavan Kumar Mantha’s Post

Step Functions just became even more lovable 🫶 JSONata is the new, powerful alternative to JSONPath. The mental model for each task is now much simpler: Input Arguments, Output and Variable assignments - that is all! No more need to reason through a multi-step process to carry along variables across more than one task. If you know a bit of XPath from the old days, you’ll love JSONata!

🚀 Excited to share my latest blog post on Simform Engineering Blogs! 📝 📝 In this post, I dive into GraphQL API development with FastAPI and #Strawberry. This was truly an adventure, from setting up the project to implementing test-driven development (TDD) practices! 🌟 I truly believe that #GraphQL is revolutionizing the way we think about API development. FastAPI, with its speed and ease of use, coupled with Strawberry's elegant schema-first approach, make for a powerful combination. 💡 Check it out and let me know your thoughts! Have you tried GraphQL with FastAPI and Strawberry? What has your experience been like? See Full Blog:- https://lnkd.in/dFyjNRe7 #GraphQL #FastAPI #Strawberry #TDD #APIDevelopment #SimformEngineering #simform

Oxylabs.io just released three open-source tools that can make your web scraping projects smoother: 🛠️ 𝗢𝘅𝘆 𝗣𝗮𝗿𝘀𝗲𝗿: cleans up messy HTML by converting it into structured data with Pydantic models. Easier to handle, easier to use. 🛠️ 𝗢𝘅𝘆 𝗠𝗼𝘂𝘀𝗲: adds smooth, human-like mouse movements to your automations (works with Selenium and Playwright). Less suspicious bot behavior. 🛠️ 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗲𝗿 𝗔𝗣𝗜 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲𝗿: helps you schedule and manage scraping tasks without diving into complex code. Feel free to check them out, and if you’re into contributing, the projects are up on GitHub: https://lnkd.in/d3BV23Ku

🛡️ Bulletproof Your Data with Pydantic! Check the code below to see how pydantic can save you time and catch errors early! 🔑 Key Features: 1. Automatic data validation 2. JSON serialization/deserialization 3. Environment variables support 4. Integration with popular frameworks (FLASK, FastAPI) 🚀 Check the official docs for more info: https://lnkd.in/dNcSXUpS #PythonDevelopment #DataValidation #Pydantic

Introducing new Sonnet crawler⚡️ Crawl any website with Anthropic’s new 3.5 model and batch scrape from  @firecrawl_dev. Enter an objective and the crawler returns data in a structured format. It's faster than o1 crawler and has monitoring by  @AgentOpsAI! #WebScraping #SonnetCrawler #AnthropicAI #AIPowered #DataExtraction #SoftwareDevelopment #AutomationTools #DevOps #ArtificialIntelligence #DataMining https://lnkd.in/gX2mmhTF

🚀 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 - 𝘙𝘦𝘥𝘶𝘤𝘦 𝘕𝘦𝘴𝘵𝘦𝘥 𝘓𝘰𝘰𝘱 Nested loops can be a performance nightmare, especially for large datasets. So, try to reduce nested loop. Here's a quick example: Finding the organization an employee belongs to. We have 2 implementation ways: 1. 𝗡𝗲𝘀𝘁𝗲𝗱 𝗹𝗼𝗼𝗽: 𝙊(𝙣^2) time complexity. 2. 𝗢𝗯𝗷𝗲𝗰𝘁 𝗺𝗮𝗽𝗽𝗶𝗻𝗴: 𝙊(𝙣) time complexity. Object mapping creates a map of organization IDs to names, allowing you to find the organization for each employee in constant time O(1). #wecommit100xshare #performance #FrontendPerformance

There is some years where you just find the right tools... to do the right job! 🥇 #pixi is a convenient package and environment manager that simplifies how people can compile and run projects (dependencies and tasks are defined within a single pixi.toml config file). ⇨ It has never been easier to provide access to a fixed environment and make people reach your project by running a single command line ➤ dependencies will be gathered magically from conda, PyPI,... ➤ using it on GitHub makes your CI workflow clean and easy to maintain. 🥈 #rerun. Rerun excels to visualize multimodal stream data. Its approachable API get you started in seconds to visualize 2d/3d/scalar data. ⇨ Rerun is synchronizing all your data and enable you to move back and forth and inspect any logged data. ➤ you will better focus on fixing algorithms rather debugging your own ad-hoc visualization. ➤ ensuring you interpret your data right is just a LOG away. #datavisualization #productivityhacks #computervision

When working with Django’s ORM, we often need to perform very complex queries that involve calculations and data summaries. Techniques such as Filtering, Ordering, Aggregating, Annotating are used for efficiently querying data from databases. Each method has its specific use cases, from those I've covered the two methods aggregate() and annonate() in simple on my latest medium post. If you're interested, check it out! Like 👍 Follow: Kajendiran M For more insights💡

Updating one column with one specific value is straightforward. But what about updating 19 columns across two tables with 60+ possible values based on the current value? Now it's starting to get complex, and you can structure this in multiple ways through your MapBasic code. In this week, #MapBasicMonday article, I will take you through a few ways. Read the full article here: https://lnkd.in/eyGFnkaC #MapInfoMonday #MapInfoPro #MapBasic #SpatialAnalytics

Day 6 of #100DaysOfNoCode 💯 Today I learned how to build a resource directory using @BettermodeHQ ⚡ I learned: - The benefits of resource directories - How to use Bettermode’s templates to get a resource directory off the ground FAST - Core functions of resource directories Here's what I created below👇 #100DaysOfNoCode 💯 #100DaysOfNoAI 💯