Hooks in Pytest

Hooks are a powerful feature in the pytest testing framework that allow you to customize and extend the behavior of pytest during test execution. They are functions that are automatically called by pytest at various points during the test lifecycle, and you can define your own hooks in pytest plugins or conftest.py files to modify or extend the default behavior of pytest.

BDD Using C#,Specflow and Selenium

BDD, or Behavior Driven Development, is a software development methodology that emphasizes collaboration between developers, testers, and business stakeholders to ensure that the software being built meets the needs of the business. BDD focuses on defining the behavior of the software from the perspective of the end user or customer.

Specflow is a BDD framework for .NET that allows developers and testers to write automated tests using natural language syntax, using the Gherkin language. Gherkin is a domain-specific language that is used to describe the behavior of the software in a way that is easy to understand for non-technical stakeholders.

Mastering Unit Tests using pytest

Python testing framework used for writing and executing tests for software applications.pytest is a popular Python testing framework that provides a comprehensive and powerful set of features for writing and executing tests. 

Migrating a .NET Application to Core

.NET Core is a modern, open-source, cross-platform version of the .NET framework that allows developers to build and run applications on Windows, macOS, and Linux. Migrating a .NET application to Core can provide several benefits, such as improved performance, better scalability, and increased portability. In this article, we will provide a step-by-step guide to migrating a .NET application to Core.

Behavior Driven Development (BDD)

Behavior Driven Development (BDD) is a software development methodology that focuses on the desired behavior of the system. It is a collaborative approach to software development that involves developers, testers, and business stakeholders in defining the requirements and ensuring that the software meets the desired behavior. In this article, we will explore BDD in more detail and provide examples of how it can be used in software development.

pytest in python by example

Pytest is a popular testing framework in Python that makes it easy to write and run tests for your code.

Mock, patch, and MagicMock in python

Mock, patch, and MagicMock are three powerful tools provided by the Python unittest.mock module for testing and mocking purposes. These tools allow developers to replace parts of a system under test with mock objects that can simulate the behavior of the original objects.

Test-driven development (TDD) in Python

Test-driven development (TDD) is a software development approach where tests are written before any code is implemented. The idea is to write tests that cover all possible use cases for a particular feature or functionality, and then implement the code to satisfy those tests. TDD is an iterative and incremental process, where the code is continuously refactored to improve its design and maintainability.

Web application using danjo & python

Introduction:

Django is a powerful web framework for Python that allows developers to quickly build web applications. It comes with a lot of built-in functionality, including an ORM, templating engine, and authentication system. In this article, we will explore how to use Django in Python using Visual Studio Code as the editor.

Web Application using Flask with Visual Studio Code

Introduction

In this article, we will learn how to use Flask with Visual Studio Code (VS Code) in Python. Flask is a web framework that allows us to build web applications quickly and easily. VS Code is a powerful and popular code editor that can help us to develop our Flask application efficiently.

What is Chat GPT

Introduction to Chat GPT

Chat GPT is an advanced artificial intelligence language model developed by OpenAI. It is a state-of-the-art technology that uses natural language processing and machine learning techniques to generate human-like responses to a user's input. Chat GPT is capable of understanding and processing language in a way that mimics human-like communication, making it a valuable tool for a variety of applications, from customer service to language translation and even creative writing.

Using Chat GPT in Python to Build a Chatbot

Chatbots are becoming increasingly popular as a way to automate customer service, provide information, and engage with users. One way to build a chatbot is to use OpenAI's Chat GPT, a powerful language model that can generate human-like responses to text inputs. In this tutorial, we'll show you how to use Chat GPT in Python to build a simple chatbot that can answer questions about a particular topic.

Unit Testing in Python

Unit testing is a crucial part of software development that helps ensure the correctness, reliability, and maintainability of the code. In Python, unit testing is typically done using the built-in unittest module, which provides a framework for creating and running unit tests. In this article, we'll explore the basics of unit testing in Python, including what it is, why it's important, and how to get started with unittest.

Math module in python

Introduction

Python is a popular programming language used in a wide range of applications. One of the key strengths of Python is its extensive library of modules, which can be used to accomplish a wide range of tasks. In this post, we will explore the math module in Python, which provides access to a range of mathematical functions.

Encoding/Decoding using Python JSON

Introduction

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is widely used in web applications to transfer data between client and server.

NumPy in Python

Table of Contents

Introduction

NumPy, short for "Numerical Python", is an open-source Python library used for scientific computing and data analysis. It provides support for large, multi-dimensional arrays and matrices, as well as a large collection of mathematical functions to operate on these arrays. NumPy is an essential tool for any Python programmer working with data, and it is widely used in fields such as data science, machine learning, and scientific computing.

SOLID principles using Python

 Introduction

The SOLID principles are a set of principles for object-oriented software design that help developers create maintainable, flexible, and scalable code. Here are the SOLID principles and some tips on how to apply them in Python:

Lambda Functions in Python

Inroduction:

In Python, a lambda function is a small, anonymous function that can be defined without a name. Lambda functions are useful for creating quick, one-off functions that don't need to be named or stored in a variable. They are often used as a shorthand for simple functions or as arguments to higher-order functions that expect a function as input.

Constructors and Destructors in Python

 Introduction

Constructors and destructors are special methods in object-oriented programming that are used to initialize and clean up object instances, respectively. In Python, constructors are defined using the __init__() method and destructors are defined using the __del__() method.

Data abstraction in Python

Introduction:

Data Abstraction is another fundamental concept of object-oriented programming (OOP). It refers to the practice of hiding the implementation details of a class from the outside world and presenting only the essential features of the class to the user. Data Abstraction allows us to separate the interface of a class from its implementation, which makes the code more robust, secure, and maintainable.

Encapsulation in Python

Indtroduction

Encapsulation is one of the fundamental concepts of object-oriented programming (OOP). It refers to the practice of bundling data and methods that operate on that data into a single unit, which we call a class. Encapsulation helps us to hide the implementation details of a class from the outside world and make the code more robust, secure, and maintainable.

Polymorphism in Python

Introduction

Polymorphism is a concept in object-oriented programming that allows objects of different classes to be used interchangeably. In Python, polymorphism is achieved through method overloading and method overriding. In this blog, we will discuss polymorphism in Python and how it can be used to write more flexible and reusable code.

Python PIP - A Step-by-Step Guide

 PIP is the package installer for Python. It allows you to install, uninstall, and manage packages in your Python environment. In this blog, we'll discuss the uses of PIP and how to use it with examples.

Understanding Variable Scope in Python

 Introduction

In Python, variable scope determines the visibility of a variable within a program. Python has several types of scopes, including global scope, local scope, and nonlocal scope. Understanding the different types of scopes and how they work is essential for writing efficient and effective Python code. In this blog post, we'll explore Python scope and learn how to use it to write better code.

Regular Expressions in Python

Introduction

Regular expressions are a powerful tool for searching, manipulating, and validating text in Python. They allow you to search for patterns in a string, extract information from text, and perform complex string operations. In this beginner's guide, we'll cover the basics of regular expressions in Python and show you how to use them effectively.

Data Formatting in Python

Introduction

Data formatting is an important part of programming in Python. It refers to the process of converting data from one format to another. Data formatting is necessary for data visualization, data analysis, and data storage. In this beginner's guide, we'll cover the basics of data formatting in Python and show you how to format different types of data.

Modules in Python

 Introduction

Modules are an essential part of Python programming. They are files containing Python definitions and statements. The statements can be functions, classes, or variables. Modules are used to break down large programs into smaller, manageable parts, making it easier to maintain and reuse code.

Python Inheritance

Inheritance is a fundamental concept in object-oriented programming (OOP) that enables you to create new classes from existing ones. In Python, you can use inheritance to define a class that inherits attributes and methods from a parent class. In this blog post, we will explore inheritance in Python, its types, and examples.

Class and Objects in Python

Class and Objects

Python is an object-oriented programming language that supports the creation of classes and objects. Classes are a blueprint for creating objects, while objects are instances of a class. In this tutorial, we will go through the basics of Python classes and objects with detailed code examples.

Python environment setup

Python is a popular programming language used for a wide range of applications such as web development, data analysis, machine learning, and more. Visual Studio Code is a popular open-source code editor that supports multiple programming languages, including Python. In this tutorial, we will walk you through the step-by-step process of setting up a Python environment in Visual Studio Code on Windows.

Python data structures : lists, tuples, sets, arrays, and dictionaries

Introduction: 

Python is a powerful programming language that offers several built-in data structures to store and manipulate data. Each data structure has its unique set of advantages and disadvantages, and selecting the right one for your application is essential. In this blog, we'll explore five of the most common data structures in Python: lists, tuples, sets, arrays, and dictionaries.

12 Factor App

In today's fast-paced world of software development, building and deploying applications can be a challenging task. The 12 Factor App methodology is a set of principles that have been developed to help developers build scalable, maintainable, and reliable applications. In this post, we'll explore what a 12 Factor App is, why it's important, and how it can benefit your development process.