The Complete List of 60 Best Testing Software for DevOps

What best software testing tools are needed in the IT training base of the test space? We divide the commonly used testing tools into 10 categories.

The Best 10 Automated Testing Tools

Software development practices have been changing all the time, as are tools and technologies. Software testing plays an important role in achieving these goals.

Kubernetes Cluster TLS Certificate Management Best Practices

There is a detailed introduction about the official website of Kubernetes certificate management, but it involves a lot of content and is slightly different under different versions.

JIRA Workflow for DevOps and QA

Workflow is a set of activities used to track the status and transition of a problem during its life cycle. In the Jira tool, the following are the stages that occur in the workflow.

DevOps Separation of Duties: Improve The Efficiency of R&D

In this article, we will discuss with readers how DevOps and separation of duties should be combined to better improve the efficiency of the R&D team.

Build CMDB from Scratch: What is CMDB?

CMDB is the abbreviation of configuration management, and is often regarded as the basis for building other ITIL processes. It undertakes several key functions of data integration, synchronization, and visualization.

7 Best Docker Container Cluster Orchestration Tools

Container clusters that deploy complex application architectures must be properly configured. Containerized applications should be able to scale up and down based on application resource requirements.

Spark Streaming: Key Abstraction and Entrance

Spark Streaming is an extension of Spark's core API, which can implement high-throughput, fault-tolerant real-time streaming data processing.

Differences between Spark and Storm

Spark Streaming is an extension of Spark's core API. Here shows the differences between Spark Streaming and Storm.

Spark Streaming Back Pressure Mechanism

Spark Streaming is an extension of Spark's core API. Here shows Spark Streaming back pressure mechanism.

Python3: Generator

Although the process of creating a Python iterator is powerful, it is often inconvenient to use. The generator is a simple way to complete the iteration.

Python Generator

Although the process of creating a Python iterator is powerful, it is often inconvenient to use. The generator is a simple way to complete the iteration.

Understanding of Python Generator

We can use lists to store data, but when the data is large, creating a list of stored data will take up memory. The generator is a method that does not take up much computer resources.

The Advantages of Python Generator

This article introduces the advantages of Python generator and how Python represents generator.

Thoroughly Understand The Python Generator

Although the process of creating a Python iterator is powerful, it is often inconvenient to use. In Python, the mechanism of calculating while looping is called a generator.

Principle of Python Generator

In Python, the mechanism of calculating while looping is called a generator. Here introduces the principle of Python generator.

Python Generator Explained

For multiple data that can be calculated with an algorithm, the generator does not generate them all at once, but when and when they are needed.

Explanation of the Principle and Use of Python Generator

In Python, the mechanism of calculating while looping is called a generator. Here explains the principle and use of python generator.

How to Implement Python Generator

Python generator is a very good syntax. Python uses generator to make the program elegant.

Python yield generator

A generator is a function that returns an iterator. The difference from a normal function is that the generator contains a yield statement.

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