23 items with this tag.
LSP standardizes the communication between code editors and language servers, enhancing the development experience by providing consistent features like auto-completion, go-to-definition, and error checking.
Are there any learnings from Chaos Engineering which can be used in any of the data projects like Data Engineering, Data Science etc. Can we use Chaos Engineering to fool-proof your end-to-end project?
A dynamic scripting language primarily used for creating interactive web pages and applications.
A testing framework for Python that simplifies the process of writing and running test cases, promoting the use of fixtures and plugins for enhanced functionality.
A software testing method that focuses on validating the smallest testable parts of an application, called units, to ensure they function correctly in isolation.
Specific conditions or inputs used to validate the functionality, performance, and reliability of a software application to ensure it behaves as expected.
an AI-powered code completion tool that suggests code snippets and entire lines of code as you write, enhancing productivity and coding efficiency.
A distributed version control system that tracks changes to files and coordinates work among multiple people on software projects.
A lightweight, high-level scripting language designed for embedded systems and game development, known for its simplicity and efficiency.
An extensible and modernized text editor derived from Vim, designed to improve usability and enable greater customization for developers.
A personalized development environment tailors the tools, configurations, and settings to suit an individual developer's preferences and workflow, enhancing productivity and comfort.
The process of designing and building executable computer software to accomplish specific tasks or solve problems using programming languages.
A Spark session is the entry point to programming with Apache Spark, allowing users to create DataFrame and Dataset objects, manage Spark configurations, and access Spark's capabilities for distributed data processing.
A standardized programming language used for managing and manipulating relational databases through querying, updating, and managing data.
A strategy used in programming to delay the evaluation of an expression until its value is required.
A web-based interface that provides insights into the performance and execution of Apache Spark applications, allowing users to monitor jobs, stages, and tasks in real-time.
A widely-used, object-oriented programming language known for its portability, performance, and extensive standard library.
A language and environment specifically designed for statistical computing and data analysis, widely used in academia, research, and data science.
A hybrid programming language that combines object-oriented and functional programming paradigms, designed for high-performance applications and interoperability with Java.
A Spark DataFrame is a distributed collection of data organized into named columns, similar to a table in a relational database or a data frame in R or Python's pandas library.
A programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing state or mutable data.
An Integrated Development Environment (IDE) is a software application that provides comprehensive facilities to programmers for software development, including code editing, debugging, and testing.
A high-level, versatile language known for its readability and simplicity, widely used in web development, data analysis, artificial intelligence, and automation.