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Data visualization is the graphical or visual representation of data. It helps to highlight the most useful insights from a dataset, making it easier to spot trends, patterns, outliers, and correlations. Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for creating attractive graphs. You can create graphs in one line that would take multiple tens of lines in Matplotlib. Its standard designs are awesome, and it also has a nice interface for working with Pandas DataFrames.

This article isn’t meant to be an extensive guide with all the technicalities and resources to become a UX designer. Sure, I may drop some resources here and there, but there are mass databases and helpful videos online, you do not need me for that.

ArgoCD is a CD tool that runs on Kubernetes. It is an excellent application tool for GitOps best practices developed by CNCF. It has many useful features such as automatic deployments, GitOps style deployment, single sign-on authentication, ability to visualize deployment issues, RBAC, multitenancy. etc. This article mainly focuses on best practices.

Design patterns are typical solutions to commonly occurring problems in software design. They are like pre-made blueprints that you can customize to solve a recurring design problem in your code. The pattern is not a specific piece of code but a general concept for solving a particular problem. You can follow the pattern details and implement a solution that suits the realities of your own program.

The advancement of technology has generated new needs.

Kubernetes is an open-source tool for managing containerized workloads and services. It has a wide and quickly expanding ecosystem. Services, support, and tools for Kubernetes are widely available. It is crucial to master various techniques and best practices to optimize the management of Kubernetes clusters. One such technique is utilizing Pod Topology Spread Constraints to ensure that your workloads are evenly distributed across your cluster's nodes.

Unit tests are component-level tests, engineered and implemented by developers, that test the components in isolation and aim to show that the code works according to software specifications. This article introduces you to test design techniques for unit testing, which will help you to write better tests and catch more bugs.

AI testers may not only use the AI specific test techniques since as many of defects found in AI/ML systems can be found in any other systems.

Best practices are prevalent in many fields of business. At its core, a best practice is simply “the way it has worked successfully for someone else”.