GitProtect.io Reviews

Plotly Reviews

GitProtect.io mentions (12)

• The Real Cost of DevOps Backup Scripts

  Third-party backup vendors provide you with data protection solutions that significantly exceed the capabilities of backup scripts. Let’s show on the example of GitProtect backup and Disaster Recovery software for DevOps stack, how third-party backup tools can help organizations ensure data integrity, availability, and quick recovery in the event of failure. - Source: dev.to / over 1 year ago

• S3 Storage For DevOps Backups

  Access-Control-Allow-Origin: https://gitprotect.io Access-Control-Allow-Methods: GET, POST, PUT, DELETE Access-Control-Allow-Headers: Content-Type, Authorization Access-Control-Allow-Credentials: true. - Source: dev.to / over 1 year ago

• Exploring Best Practices and Modern Trends in CI/CD

  In the beginning of this blog post we said that security is a top priority in IT. Thus, it’s important to make sure that the source code is safe in any event of disaster. One of the best ways to do that is DevOps Backup with Disaster Recovery technology. While building your backup strategy, you should make sure that your backup follows the backup best practices, including the possibility to keep your backups in... - Source: dev.to / almost 2 years ago

• Show HN: Freshen – A Bash script that freshens up your Arch mirrorlists

  Backup scripts are effective to an extent but for complete, automated and all-inclusive backups for GitHub (and other VCS), consider professional backup vendors, for best data protection. Check out solutions like GitProtect.io :)) https://gitprotect.io/. - Source: Hacker News / about 2 years ago

• Git Undo: 13 Ways to Undo Mistakes in Git

  Unfortunately, we all know that we cannot avoid mistakes. Trial and error are curial in the development process of the product and engineering career. No matter how great programmers we are, we’ll slip up sometimes. The main question, therefore, is not if we make mistakes, but rather how well we can deal with them and fix the problems we are facing. Fortunately, Git offers a series of methods for undoing and... - Source: dev.to / over 2 years ago

Plotly mentions (34)

• How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better

  Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago

• Python for Data Visualization: Best Tools and Practices

  Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago

• Generative AI Powered QnA & Visualization Chatbot

  Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago

• Build a Stock Dashboard in less than 40 lines of Python code!🤓

  In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago