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    Hi HN, I built py-sql-cleaner, a CLI for formatting SQL embedded in Python files. Python formatters handle Python syntax. They do not format SQL written inside Python code. On the other hand, SQL formatters usually target SQL files or raw SQL text, not SQL embedded inside a Python file. Still, I think it is not uncommon to find long SQL queries inside Python codebases. py-sql-cleaner detects embedded SQL inside Python files and works only on that SQL. The main things it can do are: find the SQL, format it in place, or extract it into a .sql file. It avoids rewriting SQL that depends on…

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    As developers, we've used StackOverflow, blogs, tutorials, etc to solve our day-to-day code issues and we've been able to find answers to virtually all of our questions. At the same time, CodePen, CodeSandbox, JSFiddle, etc have made it simple to share and execute code for frontend developers but when I look for folks working at the backend side (preferably Python) there is nothing that entices the whole developer community yet. While other Python sandbox solutions are available, they do not provide installation choices or are not intended for embedding and sharing. With this thought, we…

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    Hey HN. I've just launched my very first webappp and would love your feedback. http://www.7bks.com It's a book list sharing website - kind of like playlists for bookworms. The site is built on pyton/appengine - and I learned to code in under 4 weeks to build the site. There's more details on the background of the site here: http://www.7bks.com/blog/179001 I've also published the full Python code for the site here: https://gist.github.com/670034 Feedback is really important to me and I want to work hard to make the site better so any and all suggestions are greatly appreciated. Contact…

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    Guess the print, trace the state, write the code

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    Hello, I have several years of experience as a Python developer, and during that time, I've worked on intricate applications dealing with large volumes of data. One frequent challenge I faced was benchmarking the application and identifying performance bottlenecks. While there are some excellent Python profiling tools available, they can be quite daunting for beginners. The utility I have developed simplifies this process, making it as straightforward as possible to transition from slow code to a detailed flame chart. I would greatly appreciate your feedback!

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