Heroku VS NumPy

Heroku Reviews

1. mark-mercer    

   over 3 years ago
   Useful Cloud Platform

   Great service to build, run and manage applications entirely in the cloud!

   🏁 Competitors: Amazon AWS, Dokku on Digital Ocean, Firebase

   👍 Pros:    Easy user interface|Good customer service|Multi-language cloud application platform

   👎 Cons:    Limitation with some addons|Low network performance
2. jamestelford    

   Full Stack Developer at OutDev | about 4 years ago
   🏁 Competitors: Docker, Amazon AWS

   👍 Pros:    Powerful development environments|Great value for the money|Great customer support|Paas

NumPy Reviews

Heroku mentions (71)

• How to keep an HTTP connection alive for 9 hours

  The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / 6 months ago

• How to Process Scheduled Queue Jobs in Node.js with BullMQ and Redis on Heroku

  Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / 9 months ago

• I made a Bot.. How do I use it?

  Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: 10 months ago

• Making AJAX Applications Crawlable? How to build a simple web service on Google App Engine to produce HTML Snapshots?

  I have my app hosted on Heroku, who (to my knowledge) are unable to offer a solution for running a Headless (GUI-less) Browser - such as HTMLUnit - for generating HTML Snapshots for Googlebot to index my AJAX content. Source: 11 months ago

• Engineers who have a personal website/blog, what are you using to host/generate it?

  Over the years, I’ve gone from Time Warner’s Road Runner, to Tumblr, to GitHub Pages, to Godaddy hosted WordPress. Though, after Godaddy messed up a migration, I switched to self-hosting on Heroku. I wrote my blog engine using Crystal. Reference: ejstembler.com. Source: almost 1 year ago

NumPy mentions (107)

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago

• JSON in data science projects: tips & tricks

  Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago

• Introducing Flama for Robust Machine Learning APIs

  Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago

• A Comprehensive Guide to NumPy Arrays

  Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago

• Beginning Python: Project Management With PDM

  A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago