Python is known for its neatness and clean data readability and handling feature. There are various techniques for handling data in Python such as using Dictionaries, Tuples, Matrices, etc. In this tutorial, you will be learning about the matrices and its functionalities.
IPython can be said as an interactive CLI (Command-line Interface) for Python. It provides the Jupyter notebook which is a web application that provides an interactive environment for computing and analyzing the data.
Both abstract class and interface are the major components of the Java language. Both these techniques are used for hiding the implementing part and exposing the functionality part of a program to its users.
Data Abstraction and Data Encapsulation both of these features are considered as the pillars of object-oriented programming language, but they have different functionality and implementation mechanism.
Cosmetic Testing is a new form of testing, where the UI (User Interface) and UX (User experience) are being tested and checked whether the GUI or design of the project seems good from the user’s perspective or not.
Stress testing is a form of non-functional testing method which does a portion of performance testing in software testing. Stress testing and performance testing are two major testing types used in software testing.
Version Control is particular software categories for managing code or project modification and these track of the change in projects are stored in special kind of database, where it facilitates developers and collaborators to turn back in case any mistake is made.
Git is one of the popular platforms for code hosting which also helps in version controlling and collaborating with multiple developers to work on the same project and updating it online. In this tutorial, you will be learning about the introduction of Git and why developers must use it.