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MochaJS is a versatile and widely respected testing framework for JavaScript. Here's an overview of its features and benefits:. - Source: dev.to / 2 days ago
Discuss which tech stack you and your team will use, and add cards to the Backlog list with description, adding this technology in your project. In our case, it is Mocha and Nock for testing and Axios for making API calls. - Source: dev.to / 20 days ago
The test frameworks section provides an in-depth look at MochaJS, Jest, Jasmine, Puppeteer, Selenium, and Playwright. We review each framework's ease of use, community support, and overall robustness, supplemented with example unit tests. - Source: dev.to / 3 months ago
We use Jest Framework for testing. Jest is not a dogma, and, of course, in its place can be any other test runner, such as Mocha or Ava. Let's focus on tests. I'll provide a short example because I don’t want to waste your time. You can find the full version here. It's crucial to read the comments in the code below. Let's go! - Source: dev.to / 5 months ago
To execute your tests, you can create test scripts using popular testing frameworks like Mocha, Jasmine, or Jest. These frameworks provide a structured way to organize and run your tests, report results, and handle assertions. - Source: dev.to / 9 months ago
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
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
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
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
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
jQuery - The Write Less, Do More, JavaScript Library.
NumPy - NumPy is the fundamental package for scientific computing with Python
React Native - A framework for building native apps with React
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Babel - Babel is a compiler for writing next generation JavaScript.
OpenCV - OpenCV is the world's biggest computer vision library