Learn Coding From Scratch

  Introduction RESTful APIs, or Representational State Transfer APIs, are a popular way to create web-based applications that can be accessed and used by a variety of different systems and devices. These APIs allow for easy communication between different systems and provide a consistent interface for accessing data and functionality. Building RESTful APIs using Python is a straightforward process that can be accomplished using a variety of popular libraries and frameworks. If you're looking for a training in python, then you can check out our Python Course in Bangalore What is a RESTful API? A RESTful API is an architectural style for building web-based applications that use HTTP requests to GET, PUT, POST and DELETE data. RESTful APIs are typically built using web frameworks that provide a set of tools for creating routes and handling HTTP requests. Creating a RESTful API using Python There are several popular libraries and frameworks for building RESTful APIs using Python, incl...

  Introduction Machine Learning (ML) is a rapidly growing field in computer science that enables computers to learn from data without being explicitly programmed. It is a branch of artificial intelligence that focuses on the development of algorithms and statistical models that can analyze and understand patterns in data. Machine Learning has a wide range of applications in various industries such as healthcare, finance, e-commerce, and many more. What is Machine Learning? Machine learning is a method of teaching computers to learn from data, without being explicitly programmed. It is based on the idea that machines can learn from experience, just like humans. Machine Learning is divided into three main categories: supervised learning, unsupervised learning, and reinforcement learning. Supervised Learning Supervised learning is the most common type of machine learning. It is used to train a model on a labelled dataset, where the input and output data are known. The model is then a...

Introduction to Web Development Web development is the process of building and maintaining websites. It involves a wide range of skills, from coding and programming to design and content creation. If you are new to web development and are looking to learn more about it, this beginner's guide is for you. Before we dive into the details of web development, let's start with some basic concepts. Basic Concepts of the World Wide Web The World Wide Web (WWW) is a vast network of interconnected documents and other resources, linked by hyperlinks and URLs. Web browsers, such as Google Chrome, Mozilla Firefox, and Safari, are used to access and display these resources. Web servers are computers that store and deliver web content to web browsers. When you enter a URL into a web browser, the browser sends a request to the web server to retrieve the content for that URL. The server then responds by sending the content back to the browser, which displays it for the user...

  In the world of data science and statistical programming, two popular programming languages stand out: Python and Julia. Both have their own strengths and weaknesses, and choosing between them can be a difficult decision for statisticians and data scientists. In this article, we'll compare Python and Julia in terms of their features, performance, and community support, to help you decide which language is the better choice for you in 2023. Features: One of the main differences between Python and Julia is their focus and intended use cases. Python is a general-purpose programming language with a wide range of applications, including data science and statistical analysis. It has a large standard library and a huge ecosystem of third-party libraries and frameworks, making it a versatile and flexible choice for many tasks. Julia, on the other hand, is a relatively new language that was specifically designed for scientific computing and data analysis. It has a syntax that is similar t...

H ere are the top 5 interesting Python modules that every programmer should know: NumPy :  NumPy is a library for working with large, multi-dimensional arrays and matrices of numerical data in Python. It provides functions for performing mathematical operations on these arrays, such as linear algebra, statistical operations, and more. Pandas :   Pandas is a library for working with data in Python. It allows you to import, clean, manipulate, and analyse data in a variety of formats, including CSV, Excel, and SQL databases. Matplotlib:  Matplotlib is a plotting library for Python that allows you to create a wide range of static, animated, and interactive visualisations in a variety of formats. SciPy:  SciPy is a library for scientific computing in Python that provides functions for working with arrays, numerical optimization, signal and image processing, and more. Scikit-learn:  Scikit-learn is a machine learning library for Python that provides a range of algorit...