Systems | Development | Analytics | API | Testing

Introduction to Python arrays

An array is a set of items kept close to one another in memory. With just an offset added to a base value, it is possible to determine the position of each element when storing multiple items of the same type together. In Python, an " array " module is used to manage arrays. Although lists can be used like arrays, users cannot specify the kind of elements that can be stored there. Therefore, when using the array module to create arrays, all array components ought to be of the same sort.

How to use JSON in Golang?

JSON is among the most popular data exchange formats, while Go is mainly used for software development. In Go, the encoding/json package provides built-in support for encoding and decoding JSON data. With this package, Go programs can easily read and write JSON data to communicate with external systems, such as web services or databases, or to exchange data between different components of the same program.

API Error Codes: A Beginner's Primer

When building APIs for the first time, it is important to understand error status codes and how they impact the overall performance of the API. Error status codes are essential for ensuring that the API is functioning correctly, communicating errors and warnings to the user or system, and providing a seamless experience. It is important to understand the different types of error status codes, what they mean, and how to interpret them so that your API will function properly.

Unit Testing vs Integration Testing: What are the key differences?

Imagine you open a shopping website, browse around and see some products of your liking. After placing them in the cart, you're all ready to check out, only to discover that your favorite items are nowhere to be found on the list. This is one of many examples of a software bug that could be caught using integration testing. There are multiple testing stages that software goes through before release, the two most popular being unit and integration testing.

Traditional BI vs Self-Service Analytics: What's the Difference?

Data has historically been in the hands of a select few in most businesses - until recently. Business intelligence (BI) solutions have evolved dramatically in the last few years to not only be more sophisticated, but simpler and more accessible for regular professionals to use analytics tools and get the insights they need to make decisions.

13 Skills Needed for any Data Engineer According to ChatGPT

Overview With the increasing use and discussion surrounding ChatGPT and its applications, I decided to test out what it says about important skillsets for data engineers. I conducted a search about both soft and hard skills and here is what it came up with. I have added a lot of commentary to each of the 13 skills identified.

7 reasons why your business needs a criminal defense lawyer

Businesses today need to be ready for almost anything in a flash, especially when it concerns legal matters. However, there are several instances that may catch you and your employees off guard, for example, false criminal charges and lawsuits. When faced with such adversities, it is imperative to have a damage control strategy already in place to ensure immediate action. For many small and medium businesses, this means hiring and allotting their own quick-action task force, which may not be economically feasible or practical in the long run.

How to Create a Dashboard in Kibana

Wondering how to create a dashboard in Kibana to visualize and analyze your log data? In this blog post, we’ll provide a step-by-step explanation of how to create a dashboard in Kibana. You’ll learn how to use Kibana to query indexed application and event log data, filter query results to highlight the most critical and actionable information, build Kibana visualizations using your log data, and incorporate those visualizations into a Kibana dashboard.

The Landscape of AI-Enabled Test Automation Tools

Midnight, December 31, 1999, marked the beginning of a millennium where aircrafts would not fall out of the sky and bank ATMs would not spew millions of dollars from their cash withdrawal slots. Preemptive software testing and remediation on a global scale provided the automated world with some assurance that the machines would continue to run as they had for decades.