JSON

Hi all,

I need advice for object-oriented data analysis. I have exported a collection of users from Firebase to JSON, and I want to analyze it, for example, how many users are females, males, etc. Are there any tools or packages that could help me quickly analyze this data?

Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?

I want to develop a custom API testing tool for which I have chosen Karate DSL. As I will be dealing with APIs, I need to handle lots of data in JSON or XML format. I need advice on which DB is best suited for my application. MongoDB or MySQL?

Please Suggest. Thank you in advance.

For our digital QA organization to support a complex hybrid monolith/microservice architecture, our team took on the lofty goal of building out a commonized UI test automation framework. One of the primary requisites included a technical minimalist threshold such that an engineer or analyst with fundamental knowledge of JavaScript could automate their tests with greater ease. Just to list a few: - Nightwatchjs - Selenium - Cucumber - GitHub - Go.CD - Docker - ExpressJS - React - PostgreSQL

With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.

More than year ago I was looking for the best editor of Angular 2 application and I've tried Visual Studio Code and Atom. Atom had performance issues that put me off completely to use it again. Visual Studio Code became my main editor #Typescript files (and partly editor of #Java files). I'm happy with Visual Studio Code and I've never look back on Atom. There wasn't any reason to try Atom again, because Visual Studio Code fulfills my requirements very well. I use it for editing of TypeScript, #HTML, #Sass, JSON, Docker and Markdown.

I use Visual Studio Code because at this time is a mature software and I can do practically everything using it.

• It's free and open source: The project is hosted on GitHub and it’s free to download, fork, modify and contribute to the project.

• Multi-platform: You can download binaries for different platforms, included Windows (x64), MacOS and Linux (.rpm and .deb packages)

• LightWeight: It runs smoothly in different devices. It has an average memory and CPU usage. Starts almost immediately and it’s very stable.

• Extended language support: Supports by default the majority of the most used languages and syntax like JavaScript, HTML, C#, Swift, Java, PHP, Python and others. Also, VS Code supports different file types associated to projects like .ini, .properties, XML and JSON files.

• Integrated tools: Includes an integrated terminal, debugger, problem list and console output inspector. The project navigator sidebar is simple and powerful: you can manage your files and folders with ease. The command palette helps you find commands by text. The search widget has a powerful auto-complete feature to search and find your files.

• Extensible and configurable: There are many extensions available for every language supported, including syntax highlighters, IntelliSense and code completion, and debuggers. There are also extension to manage application configuration and architecture like Docker and Jenkins.

• Integrated with Git: You can visually manage your project repositories, pull, commit and push your changes, and easy conflict resolution.( there is support for SVN (Subversion) users by plugin)