hotglue Reviews

Pandas Reviews

hotglue mentions (11)

• Need suggestions on which tool to use (OAuth/ETL)

  Hi u/CoolFounder! I think hotglue (https://hotglue.xyz) could fit your use case super well - I would be happy to chat about it. Source: over 2 years ago

• How to use Supabase and hotglue to offer a native integration in your product

  If you would like to check out the easiest way to offer your users native integrations inside of your product, you can check out hotglue’s site here. - Source: dev.to / over 2 years ago

• My dad’s business was struggling with late payments, so I built an app that helps small businesses resolve this issue. It’s like a B2B Venmo, with immediate payment options - sellers can get paid out immediately for invoices (no debt) and buyers can pay bills in installments. Looking for feedback.

  Hey jumping in here as someone who works at a company that helps people building products offer integrations to their users (hotglue). Wanted to ask why you thought of building the integration yourself instead of using a tool to do it? Source: over 2 years ago

• Show HN: We made a web app that lets you connect your analytics apps

  I’m a little biased here as one of the co-founders, but hotglue is meant to help companies like yours get data in from your customers! Feel free to give us a look at https://hotglue.xyz - happy to answer any questions you have about integrations in general as well. - Source: Hacker News / over 2 years ago

• AirByte Cloud: Unify your data pipelines

  I haven’t experienced using AirByte yet but based on the use case I believe you’re mentioning (user-facing integrations in your product), I think hotglue (https://hotglue.xyz) may be a good fit. Disclaimer: I am one of the founders but thought I’d jump in here in case you hadn’t heard about us yet! - Source: Hacker News / over 2 years ago

Pandas mentions (201)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 17 days ago

• Awesome List

  Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 23 days ago

• The ultimate guide to creating a secure Python package

  It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago

• AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions

  Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago

• Pandas reset_index(): How To Reset Indexes in Pandas

  In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago