RSpec Reviews

Pandas Reviews

RSpec mentions (26)

• Should You Use Ruby on Rails or Hanami?

  When it comes to testing code, both frameworks are very much comparable since you can test either using the versatile RSpec library. - Source: dev.to / 26 days ago

• Test Driving a Rails API - Part Two

  When starting a Rails project, you have a lot of decisions to make. Whether or not to write tests should not be one of them. The big decision is to use Minitest or Rspec. Both of those testing frameworks are great and provide everything you need to test a Rails application thoroughly. - Source: dev.to / 2 months ago

• Should i learn testing

  As a beginner you can skip it, just focus on understanding Rails' philosophy and getting comfortable with it. However, make sure you remember to come back to unit testing later bc it's a mandatory skill for a Rails developer. Unit test can help you understand your project's specs thoroughly (assume its test coverage is more than 90%). I recommend learning RSpec instead of Rails' built-in testing tool (the one... Source: 11 months ago

• Code Reviewing a Ruby on Rails application.

  RSpec is a testing framework for Ruby that is widely used in the Ruby on Rails community. It allows developers to write and execute automated tests. RSpec promotes behavior-driven development (BDD) by providing a readable syntax for describing the expected behavior of the application. - Source: dev.to / 11 months ago

• Ruby RSpec

  In the Ruby programming language, one of the most popular testing frameworks is RSpec. RSpec is a flexible and expressive testing tool that allows you to write and run automated tests for your Ruby code. - Source: dev.to / over 1 year ago

Pandas mentions (199)

• 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 / 25 days 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 / about 1 month 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 / about 1 month ago

• Deploying a Serverless Dash App with AWS SAM and Lambda

  Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago

• Stuff I Learned during Hanukkah of Data 2023

  Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 6 months ago