Frameworks and Libraries that are high in demand
What is a Framework?
Frameworks are something that provide a boilerplate to build applications. Frameworks are application-specific i.e. they have been built to solve a particular problem. For example, using python we can create whatever we want but Flask which is a python framework is used to build web applications only. Frameworks take care of the essentials so that we do not have to write everything from scratch and only focus on building the web application. For example, using flask we do not have to worry about writing code to handle ports, HTTP packets, HTTP requests, and responses from scratch.
What is a Library?
What Is the Key Difference Between Frameworks and Libraries?
A framework is where we put our code in. It provides a boilerplate and the framework is responsible for calling our code whereas our code calls the library. We import the library into our code. A framework comes with a complete package included with the codes that a library may solve. The key difference between frameworks and libraries is in the way the code is called. Frameworks are a complete package while libraries act as supporting materials.
Popular Libraries that are high in demand
With that in mind lets see what are some of the most popular libraries and frameworks used in the industry.
Before the advent of React and other libraries, DOM manipulation was a tough nut to crack. Back in the days jQuery was used to ease out the task and is still relevant today. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler.
2. Popular Python Libraries that are high in demand
Read: "Top 8 technology trends in 2020"
Scikit-Learn is another useful python library for machine learning. It provides a lot of tools for machine learning and statistical modeling that includes regression, clustering, and dimensionality reduction.
Numpy is a python library that adds support for working with large multi-dimensional arrays. It provides mathematical functions to operate on such arrays.
Pandas is a python library that provides flexible and expressive data structures to make it easier for us to work with structured and time-series data.
Popular Frameworks that are high in demand
2. Popular Python Frameworks that are high in demand
Django is a very popular Python framework used for creating web applications. It comes up with a lot of things precooked such as ready-made database, user authentication system, routing, and easy object-relational mapping techniques.
Flask is also a popular python framework but is less powerful than Django as developers have to rely on external libraries to fill in the requirements. Nevertheless, it is a useful tool and can be used to build small to medium scale applications.
Web2py is another open-source web application framework that is written in the Python programming language. It allows web developers to program dynamic web content plainly in python.
Among all the python frameworks we have mentioned, the pyramid is yet another alternative and you may want to give it a try as well. It offers a lot of things that other web frameworks have to offer.
There are obviously plenty of other frameworks and libraries out there in the wild that we have not covered but out of all those these are the most widely used and recognized in the industry. React and Angular are two of the most popular library and framework for web interfaces respectively that are trusted by a vast majority of developers. One reason is that they are backed by the tech giants Facebook and Google, respectively. If you want to keep yourself updated for machine learning libraries and frameworks, visit Kaggle. Libraries and Frameworks are something that keep on updating from time to time and newer ones replace the older ones. Therefore, it is necessary to keep track of these changes because it is very essential for applications to keep in touch with the current trends.